Papers by Fuyu Wang
InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating (2025.acl-long)
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| Challenge: | Existing LLMs focus on responding to specific arguments while neglecting objective assessments such as authenticity and logical validity. |
| Approach: | They propose a multi-dimensional evaluation system and an optimized debating framework . they propose to use coT reasoning enhancement, web-based Retrieval Augmented Generation to optimize across various dimensions. |
| Outcome: | The proposed framework outperforms baseline models in argument quality assessment and debate process simulation by 57%. |
Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation (2026.findings-acl)
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| Challenge: | Existing evaluations of large language models rely on dataset-based generation accuracy . however, generative correctness does not guarantee discriminative capability to verify solutions . |
| Approach: | They propose a diagnostic framework that explicitly controls context and isolates discriminative behaviors. |
| Outcome: | The proposed framework explicitly controls context and isolates discriminative behaviors. |