paper stringlengths 14 183 | authors listlengths 1 95 | abstract stringlengths 246 3.6k | link stringlengths 42 42 | track stringclasses 2
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SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models | [
"Xianda Guo",
"Ruijun Zhang",
"Yiqun Duan",
"Yuhang He",
"Dujun Nie",
"Wenke Huang",
"Chenming Zhang",
"Shuai Liu",
"Hao Zhao",
"Long Chen"
] | Accurate spatial reasoning in outdoor environments—covering geometry, object pose, and inter-object relationships—is fundamental to downstream tasks such as mapping, motion forecasting, and high-level planning in autonomous driving. We introduce SURDS, a large-scale benchmark designed to systematically evaluate the spa... | https://openreview.net/forum?id=A9Jfrc1ouy | Datasets and Benchmarks | Poster | A9Jfrc1ouy |
GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset | [
"Zhiwei Zhang",
"Zi Ye",
"Yibin Wen",
"Shuai Yuan",
"Haohuan Fu",
"Huang Jianxi",
"Juepeng Zheng"
] | Agricultural parcels serve as basic units for conducting agricultural practices and applications, which is vital for land ownership registration, food security assessment, soil erosion monitoring, etc. However, existing agriculture parcel extraction studies only focus on mid-resolution mapping or regular plain farmland... | https://openreview.net/forum?id=A3aV30YGqP | Datasets and Benchmarks | Poster | A3aV30YGqP |
R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization | [
"Yuante Li",
"Xu Yang",
"Xiao Yang",
"Xisen Wang",
"Weiqing Liu",
"Jiang Bian"
] | Financial markets pose fundamental challenges for asset return prediction due to their high dimensionality, non-stationarity, and persistent volatility. Despite advances in large language models and multi-agent systems, current quantitative research pipelines suffer from limited automation, weak interpretability, and f... | https://openreview.net/forum?id=9VxTXAUH7G | Datasets and Benchmarks | Poster | 9VxTXAUH7G |
FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes | [
"Christodoulos Constantinides",
"Dhaval C Patel",
"Shuxin Lin",
"Claudio Guerrero",
"SUNIL DAGAJIRAO PATIL",
"Jayant Kalagnanam"
] | We introduce FailureSensorIQ, a novel Multi-Choice Question-Answering (MCQA) benchmarking system designed to assess the ability of Large Language Models (LLMs) to reason and understand complex, domain-specific scenarios in Industry 4.0.
Unlike traditional QA benchmarks, our system focuses on multiple aspects of reason... | https://openreview.net/forum?id=9KfkMAy2ut | Datasets and Benchmarks | Poster | 9KfkMAy2ut |
Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs | [
"Guiyao Tie",
"Zenghui Yuan",
"Zeli Zhao",
"Chaoran Hu",
"Tianhe Gu",
"Ruihang Zhang",
"Sizhe Zhang",
"Junran Wu",
"Xiaoyue Tu",
"Ming Jin",
"Qingsong Wen",
"Lixing Chen",
"Pan Zhou",
"Lichao Sun"
] | Self-correction of large language models (LLMs) emerges as a critical component for enhancing their reasoning performance. Although various self-correction methods have been proposed, a comprehensive evaluation of these methods remains largely unexplored, and the question of whether LLMs can truly correct themselves is... | https://openreview.net/forum?id=956KYtqwcU | Datasets and Benchmarks | Poster | 956KYtqwcU |
TAPAS: Datasets for Learning the Learning with Errors Problem | [
"Eshika Saxena",
"Alberto Alfarano",
"Francois Charton",
"Emily Wenger",
"Kristin E. Lauter"
] | AI-powered attacks on Learning with Errors (LWE)—an important hard math problem in post-quantum cryptography—rival or outperform "classical" attacks on LWE under certain parameter settings. Despite the promise of this approach, a dearth of accessible data limits AI practitioners' ability to study and improve these atta... | https://openreview.net/forum?id=91scW3DywW | Datasets and Benchmarks | Poster | 91scW3DywW |
scGeneScope: A Treatment-Matched Single Cell Imaging and Transcriptomics Dataset and Benchmark for Treatment Response Modeling | [
"Joel Dapello",
"Marcel Nassar",
"Ridvan Eksi",
"Ban Wang",
"Jules Gagnon-Marchand",
"Kenneth T Gao",
"Akram Baharlouei",
"Kyra Thrush-Evensen",
"Nina Riehs",
"Amy F Peterson",
"Aniket Tolpadi",
"Abhejit Rajagopal",
"Henry E Miller",
"Ashley Mae Conard",
"David Alvarez-Melis",
"Rory St... | Understanding cellular responses to chemical interventions is critical to the discovery of effective therapeutics. Because individual biological techniques often measure only one axis of cellular response at a time, high-quality multimodal datasets are needed to unlock a holistic understanding of how cells respond to t... | https://openreview.net/forum?id=918POZbZ50 | Datasets and Benchmarks | Poster | 918POZbZ50 |
Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence | [
"Yining Hong",
"Rui Sun",
"Bingxuan Li",
"Xingcheng Yao",
"Maxine Wu",
"Alexander Chien",
"Da Yin",
"Ying Nian Wu",
"Zhecan Wang",
"Kai-Wei Chang"
] | AI agents today are mostly siloed — they either retrieve and reason over vast amount of digital information and knowledge obtained online; or interact with the physical world through embodied perception, planning and action — but rarely both. This separation limits their ability to solve tasks that require integrated p... | https://openreview.net/forum?id=8wyCbbzF4Q | Datasets and Benchmarks | Spotlight | 8wyCbbzF4Q |
PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models | [
"Pawan Neupane",
"Jian Liu",
"Jianlin Cheng"
] | Predicting protein complex structures is essential for protein function analysis, protein design, and drug discovery. While AI methods like AlphaFold can predict accurate structural models for many protein complexes, reliably estimating the quality of these predicted models (estimation of model accuracy, or EMA) for mo... | https://openreview.net/forum?id=8raQTkdPos | Datasets and Benchmarks | Poster | 8raQTkdPos |
CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation | [
"Ki-Joong Kwon",
"Jun-Ho So",
"Sang-Hoon Lee"
] | While substantial advances have been achieved in TTS for languages such as English and Mandarin, Korean remains comparatively underrepresented due to the lack of rigorous preprocessing methods, systematically constructed datasets, a shortage of standardized Korean TTS benchmarks, and explicitly optimized models for Kor... | https://openreview.net/forum?id=8nHq0IIwpd | Datasets and Benchmarks | Poster | 8nHq0IIwpd |
LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges? | [
"ZiyuanHe",
"Yuxuan Wang",
"Jiaqi Li",
"Kexin Liang",
"Muhan Zhang"
] | Large language models (LLMs) are equipped with increasingly extended context windows recently, yet their long context understanding capabilities over long dependency tasks remain fundamentally limited and underexplored. This gap is especially significant in many real-world long-context applications that were rarely ben... | https://openreview.net/forum?id=8ObELfOFbB | Datasets and Benchmarks | Poster | 8ObELfOFbB |
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction | [
"Ella Miray Rajaonson",
"Mahyar Rajabi Kochi",
"Luis M. Mejía-Mendoza",
"Seyed Mohamad Moosavi",
"Benjamin Manuel Sanchez"
] | Developing improved predictive models for multi-molecular systems is crucial, as nearly every chemical product used results from a mixture of chemicals. While being a vital part of the industry pipeline, the chemical mixture space remains relatively unexplored by the Machine Learning (ML) community. In this paper, we i... | https://openreview.net/forum?id=8HUnx0rJNq | Datasets and Benchmarks | Poster | 8HUnx0rJNq |
CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming | [
"Han Deng",
"Yuan Meng",
"SHIXIANG TANG",
"Wanli Ouyang",
"Xinzhu Ma"
] | Competitive programming is widely used to evaluate the coding and reasoning abilities of large language models. However, the growing presence of duplicate or highly similar problems raises concerns not only about competition fairness, but also about the validity of competitive programming as a benchmark for model evalu... | https://openreview.net/forum?id=8FZ4oRWJjq | Datasets and Benchmarks | Poster | 8FZ4oRWJjq |
MedSG-Bench: A Benchmark for Medical Image Sequences Grounding | [
"Jingkun Yue",
"Siqi Zhang",
"Zinan Jia",
"Huihuan Xu",
"Zongbo Han",
"Xiaohong Liu",
"Guangyu Wang"
] | Visual grounding is essential for precise perception and reasoning in multimodal large language models (MLLMs), especially in medical imaging domains. While existing medical visual grounding benchmarks primarily focus on single-image scenarios, real-world clinical applications often involve sequential images, where acc... | https://openreview.net/forum?id=8CKhxBaWO5 | Datasets and Benchmarks | Spotlight | 8CKhxBaWO5 |
SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions | [
"Xianzhe Fan",
"Xuhui Zhou",
"Chuanyang Jin",
"Kolby Nottingham",
"Hao Zhu",
"Maarten Sap"
] | Humans continuously infer the states, goals, and behaviors of others by perceiving their surroundings in dynamic, real-world social interactions. However, most Theory of Mind (ToM) benchmarks only evaluate static, text-based scenarios, which have a significant gap compared to real interactions. We propose the SoMi-ToM ... | https://openreview.net/forum?id=7zFLFtqBm0 | Datasets and Benchmarks | Poster | 7zFLFtqBm0 |
WolBanking77: Wolof Banking Speech Intent Classification Dataset | [
"Abdou Karim KANDJI",
"Frederic Precioso",
"Cheikh BA",
"Samba NDIAYE",
"Augustin NDIONE"
] | Intent classification models have made a significant progress in recent years. However, previous studies primarily focus on high-resource language datasets, which results in a gap for low-resource languages and for regions with high rates of illiteracy, where languages are more spoken than read or written. This is the ... | https://openreview.net/forum?id=7k0JBDeHAv | Datasets and Benchmarks | Poster | 7k0JBDeHAv |
Introducing FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark | [
"Moy Yuan",
"Zifeng Ding",
"Andreas Vlachos"
] | Forecasting is an important task in many domains. However, existing forecasting benchmarks lack comprehensive confidence assessment, focusing on limited question types, and often consist of artificial questions that do not reflect real-world needs. To address these gaps, we introduce FOReCAst (Future Outcome Reasoning ... | https://openreview.net/forum?id=7hVyqs8NaP | Datasets and Benchmarks | Poster | 7hVyqs8NaP |
mmWalk: Towards Multi-modal Multi-view Walking Assistance | [
"Kedi Ying",
"Ruiping Liu",
"Chongyan Chen",
"Mingzhe Tao",
"Hao Shi",
"Kailun Yang",
"Jiaming Zhang",
"Rainer Stiefelhagen"
] | Walking assistance in extreme or complex environments remains a significant challenge for people with blindness or low vision (BLV), largely due to the lack of a holistic scene understanding. Motivated by the real-world needs of the BLV community, we build mmWalk, a simulated multi-modal dataset that integrates multi-v... | https://openreview.net/forum?id=7WDFZKtf7q | Datasets and Benchmarks | Poster | 7WDFZKtf7q |
VideoCAD: A Dataset and Model for Learning Long‑Horizon 3D CAD UI Interactions from Video | [
"Brandon Man",
"Ghadi Nehme",
"Md Ferdous Alam",
"Faez Ahmed"
] | Computer-Aided Design (CAD) is a time-consuming and complex process, requiring precise, long-horizon user interactions with intricate 3D interfaces. While recent advances in AI-driven user interface (UI) agents show promise, most existing datasets and methods focus on short, low-complexity tasks in mobile or web applic... | https://openreview.net/forum?id=7SD9RCvcb9 | Datasets and Benchmarks | Poster | 7SD9RCvcb9 |
Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving of Inequalities | [
"Haoyu Zhao",
"Yihan Geng",
"Shange Tang",
"Yong Lin",
"Bohan Lyu",
"Hongzhou Lin",
"Chi Jin",
"Sanjeev Arora"
] | LLM-based formal proof assistants (e.g., in Lean) hold great promise for automating mathematical discovery. But beyond syntactic correctness, do these systems truly understand mathematical structure as humans do? We investigate this question in context of mathematical inequalities---specifically the prover's ability to... | https://openreview.net/forum?id=7B8AYtmQRT | Datasets and Benchmarks | Poster | 7B8AYtmQRT |
MolVision: Molecular Property Prediction with Vision Language Models | [
"Deepan Adak",
"Yogesh S Rawat",
"Shruti Vyas"
] | Molecular property prediction is a fundamental task in computational chemistry with critical applications in drug discovery and materials science. While recent works have explored Large Language Models (LLMs) for this task, they primarily rely on textual molecular representations such as SMILES/SELFIES, which can be am... | https://openreview.net/forum?id=6vI3OOYddm | Datasets and Benchmarks | Poster | 6vI3OOYddm |
The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning | [
"Toby Boyne",
"Juan S Campos",
"Rebecca D. Langdon",
"Jixiang Qing",
"Yilin Xie",
"Shiqiang Zhang",
"Calvin Tsay",
"Ruth Misener",
"Daniel W. Davies",
"Kim E Jelfs",
"Sarah Boyall",
"Thomas Mark Dixon",
"Linden Schrecker",
"Jose Pablo Folch"
] | Machine learning has promised to change the landscape of laboratory chemistry, with impressive results in molecular property prediction and reaction retro-synthesis. However, chemical datasets are often inaccessible to the machine learning community as they tend to require cleaning, thorough understanding of the chemis... | https://openreview.net/forum?id=6l8q74TabE | Datasets and Benchmarks | Poster | 6l8q74TabE |
Merlin L48 Spectrogram Dataset | [
"Aaron Sun",
"Subhransu Maji",
"Grant Van Horn"
] | In the single-positive multi-label (SPML) setting, each image in a dataset is labeled with the presence of a single class, while the true presence of other classes remains unknown. The challenge is to narrow the performance gap between this partially-labeled setting and fully-supervised learning, which often requires a... | https://openreview.net/forum?id=6hY4hBL8M6 | Datasets and Benchmarks | Poster | 6hY4hBL8M6 |
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines | [
"Xeron Du",
"Yifan Yao",
"Kaijing Ma",
"Bingli Wang",
"Tianyu Zheng",
"King Zhu",
"Minghao Liu",
"Yiming Liang",
"Xiaolong Jin",
"Zhenlin Wei",
"Chujie Zheng",
"Kaixin Deng",
"Shuyue Guo",
"Shian Jia",
"Sichao Jiang",
"Yiyan Liao",
"Rui Li",
"Qinrui Li",
"Sirun Li",
"Yizhi LI",... | Large language models (LLMs) have demonstrated remarkable proficiency in mainstream academic disciplines such as mathematics, physics, and computer science. However, human knowledge encompasses over 200 specialized disciplines, far exceeding the scope of existing benchmarks. The capabilities of LLMs in many of these sp... | https://openreview.net/forum?id=6WgflzYQpf | Datasets and Benchmarks | Poster | 6WgflzYQpf |
MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models | [
"Zimeng Huang",
"Jinxin Ke",
"Xiaoxuan Fan",
"Yufeng Yang",
"Yang Liu",
"Liu Zhonghan",
"Zedi Wang",
"Junteng Dai",
"Haoyi Jiang",
"Yuyu Zhou",
"Keze Wang",
"Ziliang Chen"
] | Large Vision-Language Models (LVLMs) have exhibited remarkable progress. However, deficiencies remain compared to human intelligence, such as hallucination and shallow pattern matching. In this work, we aim to evaluate a fundamental yet underexplored intelligence: association, a cornerstone of human cognition for creat... | https://openreview.net/forum?id=6BpKATZQd8 | Datasets and Benchmarks | Poster | 6BpKATZQd8 |
Factorio Learning Environment | [
"Jack Hopkins",
"Mart Bakler",
"Akbir Khan"
] | Large Language Models (LLMs) are rapidly saturating existing benchmarks, necessitating new open-ended evaluations. We introduce the Factorio Learning Environment (FLE), based on the game of Factorio, that tests agents in long-term planning, spatial reasoning, program synthesis, and resource optimization. FLE provides e... | https://openreview.net/forum?id=652Q6jBFMZ | Datasets and Benchmarks | Poster | 652Q6jBFMZ |
SWE-smith: Scaling Data for Software Engineering Agents | [
"John Yang",
"Kilian Lieret",
"Carlos E Jimenez",
"Alexander Wettig",
"Kabir Khandpur",
"Yanzhe Zhang",
"Binyuan Hui",
"Ofir Press",
"Ludwig Schmidt",
"Diyi Yang"
] | Despite recent progress in Language Models (LMs) for software engineering, collecting training data remains a significant pain point.
Existing datasets are small, with at most 1,000s of training instances from 11 or fewer GitHub repositories.
The procedures to curate such datasets are often complex, necessitating hundr... | https://openreview.net/forum?id=63iVrXc8cC | Datasets and Benchmarks | Spotlight | 63iVrXc8cC |
Open-Insect: Benchmarking Open-Set Recognition of Novel Species in Biodiversity Monitoring | [
"Yuyan Chen",
"Nico Lang",
"B. Christian Schmidt",
"Aditya Jain",
"Yves Basset",
"Sara Beery",
"Maxim Larrivée",
"David Rolnick"
] | Global biodiversity is declining at an unprecedented rate, yet little information is
known about most species and how their populations are changing. Indeed, some
90% Earth’s species are estimated to be completely unknown. Machine learning has
recently emerged as a promising tool to facilitate long-term, large-scale bi... | https://openreview.net/forum?id=63Tia99ofI | Datasets and Benchmarks | Spotlight | 63Tia99ofI |
PHANTOM: A Benchmark for Hallucination Detection in Financial Long-Context QA | [
"Lanlan Ji",
"Dominic Seyler",
"Gunkirat Kaur",
"Manjunath Hegde",
"Koustuv Dasgupta",
"Bing Xiang"
] | While Large Language Models (LLMs) show great promise, their tendencies to hallucinate pose significant risks in high-stakes domains like finance, especially when used for regulatory reporting and decision-making. Existing hallucination detection benchmarks fail to capture the complexities of financial benchmarks, whic... | https://openreview.net/forum?id=5YQAo0S3Hm | Datasets and Benchmarks | Poster | 5YQAo0S3Hm |
MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering | [
"Rushi Qiang",
"Yuchen Zhuang",
"Yinghao Li",
"Dingu Sagar V K",
"Rongzhi Zhang",
"ChangHao Li",
"Ian Shu-Hei Wong",
"Sherry Yang",
"Percy Liang",
"Chao Zhang",
"Bo Dai"
] | We introduce MLE-Dojo, a Gym-style framework for systematically reinforcement learning, evaluating, and improving autonomous large language model (LLM) agents in iterative machine learning engineering (MLE) workflows. Unlike existing benchmarks that primarily rely on static datasets or single-attempt evaluations, MLE-D... | https://openreview.net/forum?id=5W5mFU4oMO | Datasets and Benchmarks | Poster | 5W5mFU4oMO |
LawShift: Benchmarking Legal Judgment Prediction Under Statute Shifts | [
"Zhuo Han",
"Yi Yang",
"Yi Feng",
"Wanhong Huang",
"Xuxing Ding",
"Chuanyi Li",
"Jidong Ge",
"Vincent Ng"
] | Legal Judgment Prediction (LJP) seeks to predict case outcomes given available case information, offering practical value for both legal professionals and laypersons. However, a key limitation of existing LJP models is their limited adaptability to statutory revisions. Current SOTA models are neither designed nor evalu... | https://openreview.net/forum?id=5SpFenlxDF | Datasets and Benchmarks | Poster | 5SpFenlxDF |
CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs | [
"Sijia Chen",
"Xiaomin Li",
"Mengxue Zhang",
"Eric Hanchen Jiang",
"Qingcheng Zeng",
"Chen-Hsiang Yu"
] | Large language models (LLMs) are increasingly deployed in medical contexts, raising critical concerns about safety, alignment, and susceptibility to adversarial manipulation. While prior benchmarks assess model refusal capabilities for harmful prompts, they often lack clinical specificity, graded harmfulness levels, an... | https://openreview.net/forum?id=5RykuxC8Jl | Datasets and Benchmarks | Poster | 5RykuxC8Jl |
HouseLayout3D: A Benchmark and Training-free Baseline for 3D Layout Estimation in the Wild | [
"Valentin Bieri",
"Marie-Julie Rakotosaona",
"Keisuke Tateno",
"Francis Engelmann",
"Leonidas Guibas"
] | Current 3D layout estimation models are predominantly trained on synthetic datasets biased toward simplistic, single-floor scenes. This prevents them from generalizing to complex, multi-floor buildings, often forcing a per-floor processing approach that sacrifices global context. Few works have attempted to holisticall... | https://openreview.net/forum?id=5M5WdH659Y | Datasets and Benchmarks | Poster | 5M5WdH659Y |
PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications | [
"Zilin Shen",
"Xinyu Luo",
"Imtiaz Karim",
"Elisa Bertino"
] | Accurately extracting protocol-state machines (PSMs) from the long, densely written Request-for-Comments (RFC) standards that govern Internet‐scale communication remains a bottleneck for automated security analysis and protocol testing. In this paper, we introduce RFC2PSM, the first large-scale dataset that pairs 1,580... | https://openreview.net/forum?id=5HGBErIHuV | Datasets and Benchmarks | Poster | 5HGBErIHuV |
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation | [
"Shuaiqi Wang",
"Vikas Raunak",
"Arturs Backurs",
"Victor Reis",
"Pei Zhou",
"Sihao Chen",
"Longqi Yang",
"Zinan Lin",
"Sergey Yekhanin",
"Giulia Fanti"
] | Differentially private (DP) synthetic data generation is a promising technique for utilizing private datasets that otherwise cannot be exposed for model training or other analytics. While much research literature has focused on generating private unstructured text and image data, in enterprise settings, structured data... | https://openreview.net/forum?id=59vXWteYuh | Datasets and Benchmarks | Poster | 59vXWteYuh |
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents | [
"Nandan Thakur",
"Jimmy Lin",
"Sam Havens",
"Michael Carbin",
"Omar Khattab",
"Andrew Drozdov"
] | We introduce FreshStack, a holistic framework for automatically building information retrieval (IR) evaluation benchmarks by incorporating challenging questions and answers. FreshStack conducts the following steps:
(1) automatic corpus collection from code and technical documentation,
(2) nugget generation from communi... | https://openreview.net/forum?id=54TTgXlS2U | Datasets and Benchmarks | Poster | 54TTgXlS2U |
ConnectomeBench: Can LLMs proofread the connectome? | [
"Jeff Brown",
"Andrew Kirjner",
"Annika Vivekananthan",
"Edward Boyden"
] | Connectomics—the mapping of neural connections in an organism's brain—currently requires extraordinary human effort to proofread the data collected from imaging and machine-learning assisted segmentation. With the growing excitement around using AI agents to automate important scientific tasks, we explore whether curre... | https://openreview.net/forum?id=50gEiKEuUZ | Datasets and Benchmarks | Spotlight | 50gEiKEuUZ |
Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning | [
"Zailong Tian",
"Zhuoheng Han",
"Houfeng Wang",
"Lizi Liao"
] | Spreadsheets are widely used for data analysis and reporting, yet their complex structure and formula logic pose significant challenges for AI systems. We introduce Sheetpedia, a large-scale corpus of over 290,000 diverse spreadsheets (from 324,000+ workbooks) compiled from enterprise email archives and online forums. ... | https://openreview.net/forum?id=4vLYwlA3X5 | Datasets and Benchmarks | Spotlight | 4vLYwlA3X5 |
OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models | [
"Ziheng Cheng",
"Yixiao Huang",
"Hui Xu",
"Somayeh Sojoudi",
"Xuandong Zhao",
"Dawn Song",
"Song Mei"
] | Text-to-Image (T2I) models have achieved remarkable success in generating visual content from text inputs. Although multiple safety alignment strategies have been proposed to prevent harmful outputs, they often lead to overly cautious behavior
---rejecting even benign prompts---a phenomenon known as \textit{over-refusa... | https://openreview.net/forum?id=4ueprXZqZP | Datasets and Benchmarks | Poster | 4ueprXZqZP |
TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation | [
"Jiaben Chen",
"Zixin Wang",
"Ailing Zeng",
"Yang Fu",
"Xueyang Yu",
"Siyuan Cen",
"Julian Tanke",
"Yihang Chen",
"Koichi Saito",
"Yuki Mitsufuji",
"Chuang Gan"
] | In this work, we present TalkCuts, a large-scale dataset designed to facilitate the study of multi-shot human speech video generation. Unlike existing datasets that focus on single-shot, static viewpoints, TalkCuts offers 164k clips totaling over 500 hours of high-quality 1080P human speech videos with diverse camera s... | https://openreview.net/forum?id=4a0w7AkrY7 | Datasets and Benchmarks | Poster | 4a0w7AkrY7 |
DAVE: Diagnostic benchmark for Audio Visual Evaluation | [
"Gorjan Radevski",
"Teodora Popordanoska",
"Matthew B. Blaschko",
"Tinne Tuytelaars"
] | Audio-visual understanding is a rapidly evolving field that seeks to integrate and interpret information from both auditory and visual modalities. Despite recent advances in multi-modal learning, existing benchmarks often suffer from strong visual bias -- when answers can be inferred from visual data alone -- and provi... | https://openreview.net/forum?id=4ZAX1NT0ms | Datasets and Benchmarks | Poster | 4ZAX1NT0ms |
MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation | [
"Wei Shen",
"Weiqi Liu",
"Mingde Chen",
"Wenke Huang",
"Mang Ye"
] | Vertical Federated Learning (VFL) has emerged as a critical privacy-preserving learning paradigm, enabling collaborative model training by leveraging distributed features across clients. However, due to privacy concerns, there are few publicly available real-world datasets for evaluating VFL methods, which poses signif... | https://openreview.net/forum?id=4Ud0pRqFto | Datasets and Benchmarks | Spotlight | 4Ud0pRqFto |
InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback | [
"Boyuan Chen",
"Donghai Hong",
"Jiaming Ji",
"Jiacheng Zheng",
"Bowen Dong",
"Jiayi Zhou",
"Kaile Wang",
"Josef Dai",
"Xuyao Wang",
"Wenqi Chen",
"Qirui Zheng",
"Wenxin Li",
"Sirui Han",
"Yike Guo",
"Yaodong Yang"
] | As multimodal large models (MLLMs) continue to advance across challenging tasks, a key question emerges: \textbf{\textit{What essential capabilities are still missing? }}
A critical aspect of human learning is continuous interaction with the environment -- not limited to language, but also involving multimodal understa... | https://openreview.net/forum?id=4SUtAp2cm0 | Datasets and Benchmarks | Spotlight | 4SUtAp2cm0 |
The Leaderboard Illusion | [
"Shivalika Singh",
"Yiyang Nan",
"Alex Wang",
"Daniel D'souza",
"Sayash Kapoor",
"Ahmet Üstün",
"Sanmi Koyejo",
"Yuntian Deng",
"Shayne Longpre",
"Noah A. Smith",
"Beyza Ermis",
"Marzieh Fadaee",
"Sara Hooker"
] | Measuring progress is fundamental to the advancement of any scientific field. As benchmarks play an increasingly central role, they also grow more susceptible to distortion.
Chatbot Arena has emerged as the go-to leaderboard for ranking the most capable AI systems. Yet, in this work we identify systematic issues that h... | https://openreview.net/forum?id=4Ae8edNqm0 | Datasets and Benchmarks | Poster | 4Ae8edNqm0 |
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities | [
"Can Rong",
"Xin Zhang",
"Yanxin Xi",
"HONGJIE SUI",
"Jingtao Ding",
"Yong Li"
] | Commuting Origin-destination (OD) flows, capturing daily population mobility of citizens, are vital for sustainable development across cities around the world. However, it is challenging to obtain the data due to the high cost of travel surveys and privacy concerns. Surprisingly, we find that satellite imagery, publicl... | https://openreview.net/forum?id=49W4eKKjPU | Datasets and Benchmarks | Poster | 49W4eKKjPU |
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization | [
"Zeyuan Ma",
"Yue-Jiao Gong",
"Hongshu Guo",
"Wenjie Qiu",
"Sijie Ma",
"Hongqiao Lian",
"Jiajun Zhan",
"Kaixu Chen",
"Chen Wang",
"Zhiyang Huang",
"Zechuan Huang",
"Guojun Peng",
"Ran Cheng",
"Yining Ma"
] | Meta-Black-Box Optimization (MetaBBO) streamlines the automation of optimization algorithm design through meta-learning. It typically employs a bi-level structure: the meta-level policy undergoes meta-training to reduce the manual effort required in developing algorithms for low-level optimization tasks. The original M... | https://openreview.net/forum?id=415T06x0vG | Datasets and Benchmarks | Poster | 415T06x0vG |
MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding | [
"Fujun Han",
"Peng Ye"
] | Vision-based intrusion detection has multiple applications in practical scenarios, e.g., autonomous driving, intelligent monitoring, and security. Previous works mainly focus on improving the intrusion detection performance, without a comprehensive and in-depth understanding of the intrusion scene. To fill this gap, we... | https://openreview.net/forum?id=3wJh9Pw2sn | Datasets and Benchmarks | Poster | 3wJh9Pw2sn |
MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives | [
"Wisdom Oluchi Ikezogwo",
"Kevin Minghan Zhang",
"Mehmet Saygin Seyfioglu"
] | Multi-modal models are data hungry. While datasets with natural images are abundant, medical image datasets can not afford the same luxury. To enable representation learning for medical images at scale, we turn to YouTube, a platform with a large reservoir of open-source medical pedagogical videos. We curate MedicalNar... | https://openreview.net/forum?id=3rY182JOOZ | Datasets and Benchmarks | Poster | 3rY182JOOZ |
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code | [
"Tianyu Hua",
"Harper Hua",
"Violet Xiang",
"Benjamin Klieger",
"Sang T. Truong",
"Weixin Liang",
"Fan-Yun Sun",
"Nick Haber"
] | Large language models (LLMs) have shown promise in transforming machine learning research, yet their capability to faithfully implement genuinely novel ideas from recent research papers—ideas unseen during pretraining—remains unclear. We introduce ResearchCodeBench, a benchmark that evaluates LLMs’ ability to translate... | https://openreview.net/forum?id=3k70Vt0YFS | Datasets and Benchmarks | Spotlight | 3k70Vt0YFS |
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing | [
"Leonie Bossemeyer",
"Samuel Heinrich",
"Grant Van Horn",
"Oisin Mac Aodha"
] | Mastering fine-grained visual recognition, essential in many expert domains, can require that specialists undergo years of dedicated training. Modeling the progression of such expertize in humans remains challenging, and accurately inferring a human learner’s knowledge state is a key step toward understanding visual le... | https://openreview.net/forum?id=3chgJBffVS | Datasets and Benchmarks | Poster | 3chgJBffVS |
VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification | [
"Patrick Yubeaton",
"Andre Nakkab",
"Weihua Xiao",
"Luca Collini",
"Ramesh Karri",
"Chinmay Hegde",
"Siddharth Garg"
] | This paper introduces VeriThoughts, a novel dataset designed for reasoning-based Verilog code generation. We establish a new benchmark framework grounded in formal verification methods to evaluate the quality and correctness of generated hardware descriptions. Additionally, we present a suite of specialized small-scale... | https://openreview.net/forum?id=3Z8fWHKqlu | Datasets and Benchmarks | Poster | 3Z8fWHKqlu |
MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans | [
"Shubhankar Borse",
"Seokeon Choi",
"Sunghyun Park",
"Jeongho Kim",
"Shreya Kadambi",
"Risheek Garrepalli",
"Sungrack Yun",
"Munawar Hayat",
"Fatih Porikli"
] | Generation of images containing multiple humans, performing complex actions, while preserving their facial identities, is a significant challenge. A major factor contributing to this is the lack of a a dedicated benchmark. To address this, we introduce MultiHuman-Testbench, a novel benchmark for rigorously evaluating g... | https://openreview.net/forum?id=3Wb4WuTUVc | Datasets and Benchmarks | Poster | 3Wb4WuTUVc |
Bubbleformer: Forecasting Boiling with Transformers | [
"Sheikh Md Shakeel Hassan",
"Xianwei Zou",
"Akash Dhruv",
"Aparna Chandramowlishwaran"
] | Modeling boiling---an inherently chaotic, multiphase process central to energy and thermal systems---remains a significant challenge for neural PDE surrogates. Existing models require future input (e.g., bubble positions) during inference because they fail to learn nucleation from past states, limiting their ability to... | https://openreview.net/forum?id=3TN5My3Xw6 | Datasets and Benchmarks | Spotlight | 3TN5My3Xw6 |
Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding | [
"Ryo Umagami",
"Liu Yue",
"Xuangeng Chu",
"Ryuto Fukushima",
"Tetsuya Narita",
"Yusuke Mukuta",
"Tomoyuki Takahata",
"Jianfei Yang",
"Tatsuya Harada"
] | Human motion is inherently intentional, yet most motion modeling paradigms focus on low-level kinematics, overlooking the semantic and causal factors that drive behavior. Existing datasets further limit progress: they capture short, decontextualized actions in static scenes, providing little grounding for embodied reas... | https://openreview.net/forum?id=3CVU3RRvPx | Datasets and Benchmarks | Poster | 3CVU3RRvPx |
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset | [
"Zhiheng Xi",
"Guanyu Li",
"YuTao Fan",
"Honglin Guo",
"Yufang Liu",
"Xiaoran Fan",
"Jiaqi Liu",
"dingjinchao",
"Wangmeng Zuo",
"Zhenfei Yin",
"LEI BAI",
"Tao Ji",
"Tao Gui",
"Qi Zhang",
"Xuanjing Huang"
] | In this paper, we introduce BMMR, a large-scale bilingual, multimodal, multi-disciplinary reasoning dataset for the community to develop and evaluate large multimodal models (LMMs). BMMR comprises 100k university-level questions drawn from 300 UNESCO-defined subjects, spanning diverse formats—multiple-choice, fill-in-t... | https://openreview.net/forum?id=2XstFOMwp4 | Datasets and Benchmarks | Poster | 2XstFOMwp4 |
Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models | [
"Charvi Rastogi",
"Tian Huey Teh",
"Pushkar Mishra",
"Roma Patel",
"Ding Wang",
"Mark Diaz",
"Alicia Parrish",
"Aida Mostafazadeh Davani",
"Zoe Ashwood",
"Michela Paganini",
"Vinodkumar Prabhakaran",
"Verena Rieser",
"Lora Aroyo"
] | Current text-to-image (T2I) models often fail to account for diverse human experiences, leading to misaligned systems. We advocate for pluralism in AI alignment, where an AI understands and is steerable towards diverse, and often conflicting, human values. Our work provides three core contributions to achieve this in T... | https://openreview.net/forum?id=2TxdMkJ6Yw | Datasets and Benchmarks | Spotlight | 2TxdMkJ6Yw |
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance | [
"Myeongsoo Kim",
"Shweta Garg",
"Baishakhi Ray",
"Varun Kumar",
"Anoop Deoras"
] | Programming assistants powered by large language models have transformed software development, yet most benchmarks focus narrowly on code generation tasks. Recent efforts like InfiBench and StackEval attempt to address this gap using Stack Overflow data but remain limited to single-turn interactions in isolated context... | https://openreview.net/forum?id=2R6y4Ku9kG | Datasets and Benchmarks | Poster | 2R6y4Ku9kG |
InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts | [
"Weipeng Zhong",
"Peizhou Cao",
"Yichen Jin",
"Luo Li",
"Wenzhe Cai",
"Jingli Lin",
"Hanqing Wang",
"Zhaoyang Lyu",
"Tai Wang",
"Xudong XU",
"Bo Dai",
"Jiangmiao Pang"
] | The advancement of Embodied AI heavily relies on large-scale, simulatable 3D scene datasets characterized by scene diversity and realistic layouts.
However, existing datasets typically suffer from limitations in data scale or diversity, sanitized layouts lacking small items, and severe object collisions.
To address the... | https://openreview.net/forum?id=2Nyue9Tjtg | Datasets and Benchmarks | Poster | 2Nyue9Tjtg |
ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests | [
"Jingyuan He",
"Jiongnan Liu",
"Vishan Vishesh Oberoi",
"Bolin Wu",
"Mahima Jagadeesh Patel",
"Kangrui Mao",
"Chuning Shi",
"I-Ta Lee",
"Arnold Overwijk",
"Chenyan Xiong"
] | Recommender systems are among the most impactful AI applications, interacting with billions of users every day, guiding them to relevant products, services, or information tailored to their preferences.
However, the research and development of recommender systems are hindered by existing datasets that fail to capture r... | https://openreview.net/forum?id=2NSPbJrrIW | Datasets and Benchmarks | Poster | 2NSPbJrrIW |
GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms | [
"Noah Krever",
"Jakub Cerny",
"Moise Blanchard",
"Christian Kroer"
] | Game-theoretic algorithms are commonly benchmarked on recreational games, classical constructs from economic theory such as congestion and dispersion games, or entirely random game instances. While the past two decades have seen the rise of security games -- grounded in real-world scenarios like patrolling and infrastr... | https://openreview.net/forum?id=28bjSsEpMP | Datasets and Benchmarks | Spotlight | 28bjSsEpMP |
EuroSpeech: A Multilingual Speech Corpus | [
"Samuel Pfisterer",
"Florian Grötschla",
"Luca A Lanzendörfer",
"Florian Yan",
"Roger Wattenhofer"
] | Recent progress in speech processing has highlighted that high-quality performance across languages requires substantial training data for each individual language. While existing multilingual datasets cover many languages, they often contain insufficient data for each language, leading to models trained on these datas... | https://openreview.net/forum?id=26VLybEQ2h | Datasets and Benchmarks | Spotlight | 26VLybEQ2h |
Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance | [
"Aladin Djuhera",
"Swanand Ravindra Kadhe",
"Syed Zawad",
"Farhan Ahmed",
"Heiko Ludwig",
"Holger Boche"
] | Recent work on large language models (LLMs) has increasingly focused on post-training and alignment with datasets curated to enhance instruction following, world knowledge, and specialized skills. However, most post-training datasets used in leading open- and closed-source LLMs remain inaccessible to the public, with l... | https://openreview.net/forum?id=1ybOI1VvQL | Datasets and Benchmarks | Spotlight | 1ybOI1VvQL |
Scaling Physical Reasoning with the PHYSICS Dataset | [
"Shenghe Zheng",
"Qianjia Cheng",
"Junchi Yao",
"Mengsong Wu",
"haonan he",
"Ning Ding",
"Yu Cheng",
"Shuyue Hu",
"LEI BAI",
"Dongzhan Zhou",
"Ganqu Cui",
"Peng Ye"
] | Large Language Models (LLMs) have achieved remarkable progress on advanced reasoning tasks such as mathematics and coding competitions. Meanwhile, physics, despite being both reasoning-intensive and essential to real-world understanding, received limited academic and industrial attention. This paper introduces PHYSICS,... | https://openreview.net/forum?id=1lo778KztK | Datasets and Benchmarks | Poster | 1lo778KztK |
Meta-World+: An Improved, Standardized, RL Benchmark | [
"Reginald McLean",
"Evangelos Chatzaroulas",
"Luc McCutcheon",
"Frank Röder",
"Tianhe Yu",
"Zhanpeng He",
"K.R. Zentner",
"Ryan Julian",
"J K Terry",
"Isaac Woungang",
"Nariman Farsad",
"Pablo Samuel Castro"
] | Meta-World is widely used for evaluating multi-task and meta-reinforcement learning agents, which are challenged to master diverse skills simultaneously. Since its introduction however, there have been numerous undocumented changes which inhibit a fair comparison of algorithms. This work strives to disambiguate these r... | https://openreview.net/forum?id=1de3azE606 | Datasets and Benchmarks | Poster | 1de3azE606 |
MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans | [
"Cheryl Wang",
"Chun Kwang Tan",
"Balint K Hodossy",
"Shirui Lyu",
"Pierre Schumacher",
"James Heald",
"Kai Biegun",
"Samo Hromadka",
"Maneesh Sahani",
"Gunwoo Park",
"Beomsoo Shin",
"JongHyun Park",
"SEUNGBUM KOO",
"Chenhui Zuo",
"Chengtian Ma",
"Yanan Sui",
"Nicklas Hansen",
"Sto... | Recent advancements in bionic prosthetic technology offer transformative opportunities to restore mobility and functionality for individuals with missing limbs. Users of bionic limbs, or bionic humans, learn to seamlessly integrate prosthetic extensions into their motor repertoire, regaining critical motor abilities. T... | https://openreview.net/forum?id=1dSLbhErNv | Datasets and Benchmarks | Poster | 1dSLbhErNv |
DataSIR: A Benchmark Dataset for Sensitive Information Recognition | [
"Fan Mo",
"Bo Liu",
"Yuan Fan",
"Kun Qin",
"Yizhou Zhao",
"Jinhe Zhou",
"Jia Sun",
"Jinfei Liu",
"Kui Ren"
] | With the rapid development of artificial intelligence technologies, the demand for training data has surged, exacerbating risks of data leakage. Despite increasing incidents and costs associated with such leaks, data leakage prevention (DLP) technologies lag behind evolving evasion techniques that bypass existing sensi... | https://openreview.net/forum?id=1aJ4yvtCac | Datasets and Benchmarks | Poster | 1aJ4yvtCac |
PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions | [
"Daeun Kyung",
"Hyunseung Chung",
"Seongsu Bae",
"Jiho Kim",
"Jae Ho Sohn",
"Taerim Kim",
"Soo Kyung Kim",
"Edward Choi"
] | Doctor-patient consultations require multi-turn, context-aware communication tailored to diverse patient personas. Training or evaluating doctor LLMs in such settings requires realistic patient interaction systems. However, existing simulators often fail to reflect the full range of personas seen in clinical practice. ... | https://openreview.net/forum?id=1THAjdP4QJ | Datasets and Benchmarks | Spotlight | 1THAjdP4QJ |
PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries | [
"Steven Kolawole",
"Keshav Santhanam",
"Virginia Smith",
"Pratiksha Thaker"
] | LLM serving systems typically treat user prompts as monolithic inputs, optimizing inference through decoding tricks or inter-query batching. However, many real-world prompts contain *latent semantic parallelism*—decomposable structures where subtasks can be executed independently to reduce latency while preserving mean... | https://openreview.net/forum?id=1KSxxnFNb9 | Datasets and Benchmarks | Poster | 1KSxxnFNb9 |
PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy | [
"Ruyu Liu",
"Lin Wang",
"Zhou Mingming",
"Jianhua Zhang",
"ZHANG HAOYU",
"Xiufeng Liu",
"Xu Cheng",
"Sixian Chan",
"Shen yanbin",
"Dai Sheng",
"Yuping Yan",
"Yaochu Jin",
"Lingjuan Lyu"
] | Accurate polyp sizing during endoscopy is crucial for cancer risk assessment but is hindered by subjective methods and inadequate datasets lacking integrated 2D appearance, 3D structure, and real-world size information. We introduce PolypSense3D, the first multi-source benchmark dataset specifically targeting depth-awa... | https://openreview.net/forum?id=138y2wo6ok | Datasets and Benchmarks | Poster | 138y2wo6ok |
RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation | [
"Songhao Han",
"Boxiang Qiu",
"Yue Liao",
"Siyuan Huang",
"Chen Gao",
"Shuicheng YAN",
"Si Liu"
] | Recent advances in vision-language models (VLMs) have enabled instruction-conditioned robotic systems with improved generalization. However, most existing work focuses on reactive System 1 policies, underutilizing VLMs’ strengths in semantic reasoning and long-horizon planning. These System 2 capabilities—characterized... | https://openreview.net/forum?id=0JtNyaHbNx | Datasets and Benchmarks | Poster | 0JtNyaHbNx |
PanTS: The Pancreatic Tumor Segmentation Dataset | [
"Wenxuan Li",
"Xinze Zhou",
"Qi Chen",
"Tianyu Lin",
"Pedro R. A. S. Bassi",
"Xiaoxi Chen",
"Chen Ye",
"Zheren Zhu",
"Kai Ding",
"Heng Li",
"Kang Wang",
"Yang Yang",
"Yucheng Tang",
"Daguang Xu",
"Alan Yuille",
"Zongwei Zhou"
] | PanTS is a large-scale, multi-institutional dataset curated to advance research in pancreatic CT analysis. It contains 36,390 CT scans from 145 medical centers, with expert-validated, voxel-wise annotations of over 993,000 anatomical structures, covering pancreatic tumors, pancreas head, body, and tail, and 24 surround... | https://openreview.net/forum?id=0BCUXg40r7 | Datasets and Benchmarks | Poster | 0BCUXg40r7 |
SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting | [
"Mengjiao Ma",
"Qi Ma",
"Yue Li",
"Jiahuan Cheng",
"Runyi Yang",
"Bin Ren",
"Nikola Popovic",
"Mingqiang Wei",
"Nicu Sebe",
"Ender Konukoglu",
"Luc Van Gool",
"Theo Gevers",
"Martin R. Oswald",
"Danda Pani Paudel"
] | 3D Gaussian Splatting (3DGS) serves as a highly performant and efficient encoding of scene geometry, appearance, and semantics. Moreover, grounding language in 3D scenes has proven to be an effective strategy for 3D scene understanding. Current Language Gaussian Splatting line of work fall into three main groups: (i) p... | https://openreview.net/forum?id=02ymnxlypN | Datasets and Benchmarks | Poster | 02ymnxlypN |
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