most citedChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning

4 citations · 4 across the 5 of their papers we have counts for

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cs.SE2026

An Iterative Test-and-Repair Framework for Competitive Code Generation

Lingxiao Tang, Muyang Ye, Zhaoyang Chu +4

Large language models (LLMs) have made remarkable progress in code generation, but competitive programming remains a challenge. Recent training-based methods have improved code gen…

cs.SE2026

ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning

Lingxiao Tang, He Ye, Zhaoyang Chu +4

Code LLMs still struggle with code execution reasoning, especially in smaller models. Existing methods rely on supervised fine-tuning (SFT) with teacher-generated explanations, pri…