Papers by Xianda Zheng
Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts (2026.acl-long)
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| Challenge: | Existing approaches to resolve explicit knowledge conflicts are based on semantic decoding and auxiliary embedding. |
| Approach: | They propose a framework that adjudicates conflicts by structuring the underlying logic. |
| Outcome: | Experiments show that the proposed framework improves on existing models. |
SKGSum: Structured Knowledge-Guided Document Summarization (2024.findings-acl)
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Qiqi Wang, Ruofan Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Jiamou Liu, Xianda Zheng, Zijian Huang
| Challenge: | Existing summarization methods ignore the importance of summary structure, resulting in summaries that emphasize the most prominent information while omitting essential details from other sections. |
| Approach: | They propose a method that uses automatically extracted summary points to generate summaries. |
| Outcome: | The proposed methods improve quality and BERTScore of summaries and broaden the types of documents that can be effectively summarized. |
Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision (2026.acl-long)
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| Challenge: | Existing models with static prompts, rules, or reward models are constrained by static supervision, which often fails to shape the underlying reasoning process, leading to brittle generalization and performance saturation in complex decision-making tasks. |
| Approach: | They propose a principle-centric learning framework that treats reasoning principles as explicit, language-based supervision signals that can be generated, evaluated, and iteratively evolved. |
| Outcome: | The proposed framework treats reasoning principles as explicit, language-based supervision signals that can be generated, evaluated, and iteratively evolved. |