Papers by Zhihui Lu
Rethinking Multiple-Choice Questions for RLVR: Unlocking Potential via Distractor Design (2026.findings-acl)
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Xu Guo, Qiming Ge, Jian Tong, Kedi Chen, Jin Zhang, Xiaogui Yang, Xuan Gao, Haijun Lv, Zhihui Lu, Yicheng Zou, Qipeng Guo
| Challenge: | Existing approaches to RLVR use multiple-choice questions as verifiable rewards . however, not all tasks provide reliable verification . |
| Approach: | They propose a framework that actively constructs high-quality distractors to block elimination shortcuts and promote deep reasoning. |
| Outcome: | The proposed method significantly improves reasoning capabilities of Large Language Models. |
LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries (2026.findings-acl)
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| Challenge: | Existing refusal strategies for unanswerable and underspecified user queries are brittle due to model hallucinations or add complexity and overhead. |
| Approach: | They propose a latent-signal refusal mechanism that predicts query answerability from hidden activations of an LLM. |
| Outcome: | The proposed scheme reduces schema noise and sparse, localized question–schema mismatch cues that indicate unanswerability. |