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YuCheng

2 accepted papers

2026

How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs

ICML 2026poster

Token-level credit assignment remains a key obstacle for reinforcement learning (RL) in large language models (LLMs), where RL recipes typically treat all tokens equally, failing to distinguish decisive reasoning steps from routine formatting or fluent filler. Recent attempts leverage model-internal…

Cited by 0SourceScholar
2026

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

ICML 2026oral

Diffusion Large Language Models (dLLMs) break the rigid left-to-right constraint of traditional LLMs, enabling token generation in arbitrary orders. Intuitively, this flexibility implies a solution space that strictly supersets the fixed autoregressive trajectory, theoretically unlocking superior re…

Cited by 0SourceScholar