rank int64 | name string | times_trended int64 | best_rank int64 | avg_rank float64 | median_rank int64 | publish_date string | max_upvotes int64 | max_github_stars int64 | arxiv_link string |
|---|---|---|---|---|---|---|---|---|---|
201 | WizardCoder: Empowering Code Large Language Models with Evol-Instruct | 12 | 1 | 1 | 1 | Jun 14, 2023 | 30 | 9,470 | https://arxiv.org/abs/2306.08568 |
202 | Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting | 18 | 8 | 17.78 | 15 | May 20, 2025 | 3 | 7,670 | https://arxiv.org/abs/2505.14059 |
203 | FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning
Dataset and Comprehensive Benchmark | 19 | 3 | 19.74 | 15 | Sep 11, 2025 | 35 | 74 | https://arxiv.org/abs/2509.09680 |
204 | MiMo-Embodied: X-Embodied Foundation Model Technical Report | 23 | 9 | 25.26 | 28 | Nov 20, 2025 | 23 | 260 | https://arxiv.org/abs/2511.16518 |
205 | Robot Learning: A Tutorial | 20 | 6 | 21.5 | 15 | Oct 14, 2025 | 80 | 281 | https://arxiv.org/abs/2510.12403 |
206 | GigaWorld-0: World Models as Data Engine to Empower Embodied AI | 15 | 8 | 11.93 | 13 | Nov 25, 2025 | 28 | 214 | https://arxiv.org/abs/2511.19861 |
207 | Large Language Model Agent: A Survey on Methodology, Applications and
Challenges | 82 | 35 | 43.88 | 45 | Mar 27, 2025 | 82 | 1,710 | https://arxiv.org/abs/2503.21460 |
208 | Chronos-2: From Univariate to Universal Forecasting | 32 | 23 | 32.75 | 31 | Oct 17, 2025 | 17 | 4,190 | https://arxiv.org/abs/2510.15821 |
209 | ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association | 38 | 16 | 35.74 | 37 | Sep 1, 2025 | 6 | 134 | https://arxiv.org/abs/2509.01584 |
210 | ReCode: Unify Plan and Action for Universal Granularity Control | 29 | 16 | 31.76 | 30 | Oct 27, 2025 | 117 | 359 | https://arxiv.org/abs/2510.23564 |
211 | Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite
Imagery | 37 | 9 | 36.08 | 41 | Oct 17, 2025 | 45 | 576 | https://arxiv.org/abs/2510.15869 |
212 | OpenVision 2: A Family of Generative Pretrained Visual Encoders for
Multimodal Learning | 27 | 11 | 30.74 | 30 | Sep 1, 2025 | 27 | 356 | https://arxiv.org/abs/2509.01644 |
213 | 4KAgent: Agentic Any Image to 4K Super-Resolution | 21 | 19 | 25.19 | 22 | Jul 9, 2025 | 104 | 547 | https://arxiv.org/abs/2507.07105 |
214 | ChronoEdit: Towards Temporal Reasoning for Image Editing and World
Simulation | 45 | 23 | 38.96 | 42 | Oct 5, 2025 | 14 | 578 | https://arxiv.org/abs/2510.04290 |
215 | X-Part: high fidelity and structure coherent shape decomposition | 17 | 12 | 19.53 | 14 | Sep 10, 2025 | 25 | 234 | https://arxiv.org/abs/2509.08643 |
216 | Huxley-Gödel Machine: Human-Level Coding Agent Development by an
Approximation of the Optimal Self-Improving Machine | 21 | 10 | 25.71 | 21 | Oct 24, 2025 | 18 | 251 | https://arxiv.org/abs/2510.21614 |
217 | Build Your Personalized Research Group: A Multiagent Framework for
Continual and Interactive Science Automation | 17 | 2 | 19.82 | 24 | Oct 17, 2025 | 14 | 267 | https://arxiv.org/abs/2510.15624 |
218 | OpenTSLM: Time-Series Language Models for Reasoning over Multivariate
Medical Text- and Time-Series Data | 21 | 8 | 26.43 | 27 | Oct 2, 2025 | 15 | 950 | https://arxiv.org/abs/2510.02410 |
219 | Trace Anything: Representing Any Video in 4D via Trajectory Fields | 17 | 11 | 21.18 | 22 | Oct 15, 2025 | 30 | 271 | https://arxiv.org/abs/2510.13802 |
220 | Democratizing AI scientists using ToolUniverse | 29 | 17 | 33.59 | 38 | Sep 27, 2025 | 38 | 455 | https://arxiv.org/abs/2509.23426 |
221 | S^2-Guidance: Stochastic Self Guidance for Training-Free Enhancement of
Diffusion Models | 25 | 15 | 30.96 | 23 | Aug 18, 2025 | 45 | 134 | https://arxiv.org/abs/2508.12880 |
222 | UniVerse-1: Unified Audio-Video Generation via Stitching of Experts | 15 | 9 | 18.07 | 10 | Sep 7, 2025 | 14 | 53 | https://arxiv.org/abs/2509.06155 |
223 | R-Zero: Self-Evolving Reasoning LLM from Zero Data | 39 | 28 | 38.41 | 38 | Aug 7, 2025 | 123 | 559 | https://arxiv.org/abs/2508.05004 |
224 | On the Generalization of SFT: A Reinforcement Learning Perspective with
Reward Rectification | 29 | 26 | 34.34 | 35 | Aug 7, 2025 | 148 | 322 | https://arxiv.org/abs/2508.05629 |
225 | InternScenes: A Large-scale Simulatable Indoor Scene Dataset with
Realistic Layouts | 17 | 7 | 22.94 | 20 | Sep 13, 2025 | 29 | 161 | https://arxiv.org/abs/2509.10813 |
226 | LightReasoner: Can Small Language Models Teach Large Language Models
Reasoning? | 15 | 9 | 19.33 | 10 | Oct 9, 2025 | 7 | 362 | https://arxiv.org/abs/2510.07962 |
227 | The Denario project: Deep knowledge AI agents for scientific discovery | 22 | 15 | 29.73 | 26 | Oct 30, 2025 | 6 | 372 | https://arxiv.org/abs/2510.26887 |
228 | R-4B: Incentivizing General-Purpose Auto-Thinking Capability in MLLMs
via Bi-Mode Annealing and Reinforce Learning | 19 | 21 | 26.63 | 23 | Aug 28, 2025 | 102 | 84 | https://arxiv.org/abs/2508.21113 |
229 | Rolling Forcing: Autoregressive Long Video Diffusion in Real Time | 15 | 3 | 20.13 | 18 | Sep 29, 2025 | 20 | 109 | https://arxiv.org/abs/2509.25161 |
230 | Robot Learning from a Physical World Model | 23 | 23 | 31.09 | 30 | Nov 10, 2025 | 26 | 146 | https://arxiv.org/abs/2511.07416 |
231 | Genie Envisioner: A Unified World Foundation Platform for Robotic
Manipulation | 24 | 19 | 31.96 | 29 | Aug 7, 2025 | 72 | 218 | https://arxiv.org/abs/2508.05635 |
232 | RLVE: Scaling Up Reinforcement Learning for Language Models with
Adaptive Verifiable Environments | 20 | 18 | 28.15 | 23 | Nov 10, 2025 | 10 | 119 | https://arxiv.org/abs/2511.07317 |
233 | Packing Input Frame Context in Next-Frame Prediction Models for Video
Generation | 47 | 15 | 41.34 | 44 | Apr 17, 2025 | 52 | 15,800 | https://arxiv.org/abs/2504.12626 |
234 | M^3FinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial
Meeting Understanding Evaluation Dataset | 22 | 12 | 30.41 | 28 | Jun 3, 2025 | 3 | 287 | https://arxiv.org/abs/2506.02510 |
235 | Beyond Outlining: Heterogeneous Recursive Planning for Adaptive
Long-form Writing with Language Models | 13 | 9 | 16.15 | 12 | Mar 11, 2025 | 3 | 736 | https://arxiv.org/abs/2503.08275 |
236 | Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding
and Generation | 25 | 18 | 33 | 31 | Aug 5, 2025 | 59 | 727 | https://arxiv.org/abs/2508.03320 |
237 | Tree Search for LLM Agent Reinforcement Learning | 15 | 13 | 21.2 | 19 | Sep 25, 2025 | 79 | 95 | https://arxiv.org/abs/2509.21240 |
238 | VoXtream: Full-Stream Text-to-Speech with Extremely Low Latency | 24 | 24 | 32.42 | 31 | Sep 19, 2025 | 2 | 129 | https://arxiv.org/abs/2509.15969 |
239 | A Survey of Data Agents: Emerging Paradigm or Overstated Hype? | 17 | 11 | 24.82 | 19 | Oct 27, 2025 | 63 | 202 | https://arxiv.org/abs/2510.23587 |
240 | SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation | 15 | 17 | 22.07 | 21 | Nov 24, 2025 | 38 | 189 | https://arxiv.org/abs/2511.19320 |
241 | Latent Collaboration in Multi-Agent Systems | 12 | 12 | 14.92 | 14 | Nov 25, 2025 | 92 | 240 | https://arxiv.org/abs/2511.20639 |
242 | Puppeteer: Rig and Animate Your 3D Models | 31 | 27 | 37.1 | 37 | Aug 14, 2025 | 30 | 178 | https://arxiv.org/abs/2508.10898 |
243 | GEM: A Gym for Agentic LLMs | 21 | 24 | 31.29 | 30 | Oct 1, 2025 | 79 | 284 | https://arxiv.org/abs/2510.01051 |
244 | MedRAX: Medical Reasoning Agent for Chest X-ray | 18 | 9 | 28 | 29 | Feb 4, 2025 | 2 | 993 | https://arxiv.org/abs/2502.02673 |
245 | Omni-Effects: Unified and Spatially-Controllable Visual Effects
Generation | 17 | 14 | 26.71 | 28 | Aug 11, 2025 | 56 | 122 | https://arxiv.org/abs/2508.07981 |
246 | FlowRL: Matching Reward Distributions for LLM Reasoning | 14 | 13 | 21.5 | 17 | Sep 18, 2025 | 90 | 58 | https://arxiv.org/abs/2509.15207 |
247 | Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware
Finetuning and MLLM Implicit Feedback | 14 | 3 | 21.5 | 21 | Oct 19, 2025 | 18 | 94 | https://arxiv.org/abs/2510.16888 |
248 | UMO: Scaling Multi-Identity Consistency for Image Customization via
Matching Reward | 19 | 18 | 29.37 | 26 | Sep 8, 2025 | 29 | 131 | https://arxiv.org/abs/2509.06818 |
249 | From Pixels to Words -- Towards Native Vision-Language Primitives at
Scale | 12 | 8 | 16.75 | 13 | Oct 16, 2025 | 60 | 161 | https://arxiv.org/abs/2510.14979 |
250 | LIMI: Less is More for Agency | 26 | 28 | 35.31 | 35 | Sep 22, 2025 | 91 | 101 | https://arxiv.org/abs/2509.17567 |
251 | TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language
Modeling | 18 | 12 | 28.44 | 31 | Aug 22, 2025 | 7 | 149 | https://arxiv.org/abs/2508.16790 |
252 | SceneGen: Single-Image 3D Scene Generation in One Feedforward Pass | 23 | 26 | 33.39 | 31 | Aug 21, 2025 | 18 | 66 | https://arxiv.org/abs/2508.15769 |
253 | The Markovian Thinker | 19 | 15 | 29.95 | 29 | Oct 8, 2025 | 27 | 251 | https://arxiv.org/abs/2510.06557 |
254 | Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising | 21 | 22 | 32.05 | 30 | Nov 9, 2025 | 50 | 191 | https://arxiv.org/abs/2511.08633 |
255 | V-Thinker: Interactive Thinking with Images | 16 | 5 | 26.31 | 30 | Nov 6, 2025 | 92 | 104 | https://arxiv.org/abs/2511.04460 |
256 | UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image
Generation | 12 | 5 | 18.17 | 14 | Oct 21, 2025 | 64 | 100 | https://arxiv.org/abs/2510.18701 |
257 | MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and
Training Recipe | 21 | 17 | 32.43 | 31 | Sep 16, 2025 | 45 | 22,000 | https://arxiv.org/abs/2509.18154 |
258 | WorldGrow: Generating Infinite 3D World | 17 | 12 | 28.12 | 25 | Oct 24, 2025 | 40 | 313 | https://arxiv.org/abs/2510.21682 |
259 | Video-As-Prompt: Unified Semantic Control for Video Generation | 16 | 11 | 26.88 | 22 | Oct 23, 2025 | 41 | 217 | https://arxiv.org/abs/2510.20888 |
260 | SongBloom: Coherent Song Generation via Interleaved Autoregressive
Sketching and Diffusion Refinement | 21 | 23 | 32.86 | 31 | Jun 9, 2025 | 6 | 604 | https://arxiv.org/abs/2506.07634 |
261 | FireRedTTS-2: Towards Long Conversational Speech Generation for Podcast
and Chatbot | 24 | 21 | 35.21 | 35 | Sep 2, 2025 | 1 | 1,180 | https://arxiv.org/abs/2509.02020 |
262 | LTX-Video: Realtime Video Latent Diffusion | 18 | 19 | 30.17 | 30 | Dec 30, 2024 | 47 | 8,590 | https://arxiv.org/abs/2501.00103 |
263 | OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe | 14 | 6 | 24.29 | 23 | Nov 20, 2025 | 86 | 106 | https://arxiv.org/abs/2511.16334 |
264 | SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines | 13 | 12 | 23.23 | 18 | Sep 25, 2025 | 86 | 43 | https://arxiv.org/abs/2509.21320 |
265 | Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data | 14 | 15 | 25.36 | 27 | Nov 16, 2025 | 99 | 1,010 | https://arxiv.org/abs/2511.12609 |
266 | Advancing End-to-End Pixel Space Generative Modeling via Self-supervised
Pre-training | 14 | 4 | 25.43 | 28 | Oct 14, 2025 | 104 | 98 | https://arxiv.org/abs/2510.12586 |
267 | IGGT: Instance-Grounded Geometry Transformer for Semantic 3D
Reconstruction | 15 | 16 | 27.2 | 23 | Oct 26, 2025 | 38 | 156 | https://arxiv.org/abs/2510.22706 |
268 | CODA: Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer
Use Agent with Decoupled Reinforcement Learning | 15 | 5 | 27.47 | 30 | Aug 27, 2025 | 31 | 25 | https://arxiv.org/abs/2508.20096 |
269 | Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM
Diversity | 20 | 26 | 33.45 | 34 | Oct 1, 2025 | 15 | 219 | https://arxiv.org/abs/2510.01171 |
270 | MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation | 11 | 7 | 19.09 | 21 | Nov 12, 2025 | 64 | 248 | https://arxiv.org/abs/2511.09611 |
271 | Kandinsky 5.0: A Family of Foundation Models for Image and Video Generation | 14 | 13 | 25.93 | 22 | Nov 19, 2025 | 207 | 471 | https://arxiv.org/abs/2511.14993 |
272 | MemOS: A Memory OS for AI System | 36 | 13 | 41.33 | 45 | Jul 4, 2025 | 155 | 3,110 | https://arxiv.org/abs/2507.03724 |
273 | DA^2: Depth Anything in Any Direction | 17 | 8 | 30.53 | 37 | Sep 30, 2025 | 20 | 120 | https://arxiv.org/abs/2509.26618 |
274 | OneReward: Unified Mask-Guided Image Generation via Multi-Task Human
Preference Learning | 15 | 11 | 28 | 30 | Aug 28, 2025 | 13 | 208 | https://arxiv.org/abs/2508.21066 |
275 | Paper2Code: Automating Code Generation from Scientific Papers in Machine
Learning | 32 | 27 | 40.34 | 40 | Apr 24, 2025 | 120 | 3,730 | https://arxiv.org/abs/2504.17192 |
276 | ThinkMorph: Emergent Properties in Multimodal Interleaved
Chain-of-Thought Reasoning | 17 | 9 | 31 | 28 | Oct 30, 2025 | 78 | 87 | https://arxiv.org/abs/2510.27492 |
277 | The Well: a Large-Scale Collection of Diverse Physics Simulations for
Machine Learning | 12 | 13 | 23 | 14 | Nov 30, 2024 | 20 | 1,110 | https://arxiv.org/abs/2412.00568 |
278 | Versatile Framework for Song Generation with Prompt-based Control | 44 | 34 | 43.5 | 45 | Apr 27, 2025 | 6 | 201 | https://arxiv.org/abs/2504.19062 |
279 | Durian: Dual Reference-guided Portrait Animation with Attribute Transfer | 15 | 16 | 29.13 | 22 | Sep 4, 2025 | 4 | 14 | https://arxiv.org/abs/2509.04434 |
280 | Self-Forcing++: Towards Minute-Scale High-Quality Video Generation | 19 | 22 | 34 | 30 | Oct 2, 2025 | 86 | 145 | https://arxiv.org/abs/2510.02283 |
281 | OmniSVG: A Unified Scalable Vector Graphics Generation Model | 16 | 16 | 30.88 | 28 | Apr 8, 2025 | 180 | 2,100 | https://arxiv.org/abs/2504.06263 |
282 | SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn
Tool-Integrated Reasoning | 22 | 19 | 36.55 | 43 | Sep 2, 2025 | 76 | 250 | https://arxiv.org/abs/2509.02479 |
283 | VGGT-X: When VGGT Meets Dense Novel View Synthesis | 13 | 15 | 26.69 | 25 | Sep 29, 2025 | 15 | 69 | https://arxiv.org/abs/2509.25191 |
284 | VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual
Representation | 11 | 5 | 22.45 | 18 | Nov 4, 2025 | 95 | 88 | https://arxiv.org/abs/2511.02778 |
285 | Thinking with Camera: A Unified Multimodal Model for Camera-Centric
Understanding and Generation | 13 | 4 | 26.92 | 29 | Oct 9, 2025 | 115 | 200 | https://arxiv.org/abs/2510.08673 |
286 | Latent Diffusion Model without Variational Autoencoder | 14 | 13 | 28.71 | 24 | Oct 17, 2025 | 39 | 156 | https://arxiv.org/abs/2510.15301 |
287 | Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement
Learning | 10 | 8 | 20.5 | 19 | Sep 29, 2025 | 4 | 164 | https://arxiv.org/abs/2509.24372 |
288 | VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video
Diffusion Models | 18 | 18 | 34.39 | 36 | Sep 22, 2025 | 25 | 83 | https://arxiv.org/abs/2509.17985 |
289 | VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with
Voxel-Aligned Prediction | 14 | 16 | 29.86 | 24 | Sep 23, 2025 | 22 | 65 | https://arxiv.org/abs/2509.19297 |
290 | MolmoAct: Action Reasoning Models that can Reason in Space | 22 | 28 | 37.68 | 37 | Aug 11, 2025 | 42 | 163 | https://arxiv.org/abs/2508.07917 |
291 | Ming-UniAudio: Speech LLM for Joint Understanding, Generation and
Editing with Unified Representation | 14 | 9 | 30.21 | 28 | Oct 26, 2025 | 9 | 370 | https://arxiv.org/abs/2511.05516 |
292 | MAPO: Mixed Advantage Policy Optimization | 12 | 12 | 27.08 | 23 | Sep 23, 2025 | 25 | 34 | https://arxiv.org/abs/2509.18849 |
293 | DepthLM: Metric Depth From Vision Language Models | 18 | 26 | 35.06 | 32 | Sep 29, 2025 | 5 | 130 | https://arxiv.org/abs/2509.25413 |
294 | REINFORCE++: A Simple and Efficient Approach for Aligning Large Language
Models | 41 | 26 | 44.05 | 45 | Jan 4, 2025 | 102 | 8,130 | https://arxiv.org/abs/2501.03262 |
295 | DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning | 26 | 25 | 40.15 | 42 | Aug 7, 2025 | 62 | 143 | https://arxiv.org/abs/2508.05405 |
296 | Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal
Generation and Understanding | 13 | 18 | 29.38 | 30 | Oct 7, 2025 | 48 | 834 | https://arxiv.org/abs/2510.06308 |
297 | DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research | 16 | 24 | 33.62 | 29 | Nov 24, 2025 | 48 | 404 | https://arxiv.org/abs/2511.19399 |
298 | IMAGGarment-1: Fine-Grained Garment Generation for Controllable Fashion
Design | 14 | 21 | 31.64 | 31 | Apr 17, 2025 | 1 | 263 | https://arxiv.org/abs/2504.13176 |
299 | Interleaving Reasoning for Better Text-to-Image Generation | 11 | 16 | 26.64 | 17 | Sep 8, 2025 | 12 | 24 | https://arxiv.org/abs/2509.06945 |
300 | ARE: Scaling Up Agent Environments and Evaluations | 17 | 24 | 35.24 | 34 | Sep 21, 2025 | 29 | 257 | https://arxiv.org/abs/2509.17158 |
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