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Ge Li

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#artificial intelligence Preprint Oct 2026

CONTRA: Discovering and Qualifying Behavior-Changing Questions for Selective Clarification in LLM Code Generation

Coding agents can generate code that appears correct but implements behavior the user never intended. This mismatch can arise when an agent silently resolves underspecified requirements through its own assumptions. As subsequent development builds on these assumptions, correcting the resulting behavior can become incre...

Zheng Fang, Yong-Ming Li, Yi-Chang Zhang et al. · 0 citations
Open access Aug 2026

Efficient Grammar-Constrained Decoding via Parser Stack Classification

The proposed PSC, a novel grammar-constrained decoding method, can compute the complete vocabulary mask by checking the parser stack exactly once per decoding step, with time complexity independent of the vocabulary size.

Yong-Ming Li, Yihong Dong, Jia Li et al. · 0 citations
#natural language process... Preprint Aug 2026

Archer: Adaptive Reuse of Cached Hidden States for Efficient Rollback in Diffusion Language Models

Adaptive Reuse of Cached Hidden States for Efficient Rollback (Archer) is introduced, a training-free KV caching method for rollback-capable DLMs that characterizes prompt reuse as a reversibility-aligned cache boundary, bounds its state-dependent approximation error, and gives a decoder-margin condition for preserving...

Xuning He, Zinan Sheng, Yong-Ding Tao et al. · 1 citation · ⚡1

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