Using Grounded Theory for Agent Behavior Analysis at Scale
Paper • 2608.30391 • Published • 18
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CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker DistillationOrganizations
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PACE: Towards Surfacing Hidden Conflicts in User Requests
Paper • 2609.03293 • Published • 22
CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Paper • 2609.04083 • Published • 24
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
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Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States
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Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning
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Compile by Training: Turning Natural-Language Specifications into Local Neural Functions
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LatentPress: Context Compression Beyond Text and Vision
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Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments
Paper • 2609.04148 • Published • 271