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Representation Forcing for Bottleneck-Free Unified Multimodal Models
Paper • 2605.31604 • Published • 64 -
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Paper • 2605.31584 • Published • 43 -
Task-Focused Memorization for Multimodal Agents
Paper • 2605.31075 • Published • 41 -
Exploring Autonomous Agentic Data Engineering for Model Specialization
Paper • 2605.30407 • Published • 24
yinfeng wang
wyf666
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daily paper
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 290 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 28
weekly unseen papers
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Representation Forcing for Bottleneck-Free Unified Multimodal Models
Paper • 2605.31604 • Published • 64 -
LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Paper • 2605.31584 • Published • 43 -
Task-Focused Memorization for Multimodal Agents
Paper • 2605.31075 • Published • 41 -
Exploring Autonomous Agentic Data Engineering for Model Specialization
Paper • 2605.30407 • Published • 24
daily paper
-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 290 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 28
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