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cs.AI2026
Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models
Wei Wu, Liyi Chen, Congxi Xiao +7
Large reasoning models enhanced by reinforcement learning with verifiable rewards have achieved significant performance gains by extending their chain-of-thought. However, this par…
cs.AI2026
Matrix as Plan: Structured Logical Reasoning with Feedback-Driven Replanning
Ke Chen, Jiandian Zeng, Zihao Peng +3
As knowledge and semantics on the web grow increasingly complex, enhancing Large Language Models (LLMs)' comprehension and reasoning capabilities has become particularly important.…