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Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 19 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 97 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 29
LiuQuan
liuquan
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-
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 19 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 97 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 7 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 29
datasets
0
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