Papers by Jin-Xia Huang
SolidCoder: Bridging the Mental-Reality Gap in LLM Code Generation through Concrete Execution (2026.findings-acl)
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| Challenge: | State-of-the-art code generation frameworks rely on mental simulations to validate buggy code. |
| Approach: | They propose a mental-reality gap between mental simulation and actual execution . they propose sandboxed execution with a simple principle: don't imagine—execute . |
| Outcome: | The proposed framework achieves state-of-the-art pass@1 performance on humanEval, CodeContests and APPS. |
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation (2024.emnlp-main)
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| Challenge: | Incorrect student answers can be valuable learning opportunities provided that the student understands where they went wrong and why. |
| Approach: | They propose to use a KL regularization term to achieve more targeted input representations and a preference optimization step to encourage student answer-adaptive feedback generation. |
| Outcome: | The proposed model outperforms existing models in 3.3 METEOR points. |