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Hongxin Ding

ACL 2026×3AAAI 2026ICLR 2026可解释性强化学习与后训练推理数据与预训练检索与知识
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一作贡献30
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方向广度16
合作网络12
1 一作 · 5 篇 · ACL 2026 / AAAI 2026 / ICLR 2026

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2026 顶会论文

5
作者位次 #8/11ACL 2026Poster· Natural Language Processing

DFAMS : Dynamic-flow guided Federated Alignment based Multi-prototype Search

Zhibang Yang · Xinke Jiang · Rihong Qiu · Ruiqing Li · Yihang Zhang · Yue Fang · Yongxin Xu · Hongxin Ding · Xu Chu · Junfeng Zhao · Yasha Wang

摘要

Federated Retrieval (FR) routes queries across multiple external knowledge sources, to mitigate hallucinations of LLMs, when necessary external knowledge is distributed. However, existing methods struggle to retrieve high-quality and relevant documents for ambiguous queries, especially in cross-d...

检索与知识可解释性对齐与偏好OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

P ro M ed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLM s

Hongxin Ding · Baixiang Huang · Yue Fang · Weibin Liao · Xinke Jiang · Jinyang Zhang · Yinghao Zhu · Zheng Li · Liantao Ma · Junfeng Zhao · Yasha Wang

摘要

Interactive medical questioning is essential in clinical consultations, where physicians must actively gather necessary patient information. Yet existing medical Large Language Models (LLMs) predominantly follow a reactive paradigm, risking diagnostic errors by answering before seeking sufficient...

强化学习与后训练社会与人本可解释性OpenReview 项目页
作者位次 #2/6ACL 2026Findings· Findings of ACL

P sy P ath: Psychologically-guided Self-Exploration for Personality Detection

Zheng Li · Hongxin Ding · Chenyu Zhang · Weimin Xiong · Dawei Zhu · Sujian Li

摘要

Personality detection aims to label an individual’s traits via identifying linguistic cues from his or her written text. Previous approaches typically perform a direct mapping between text and trait labels or apply static reasoning to this task.In this paper, we argue that dynamic reasoning, unde...

推理可解释性评测与基准OpenReview 项目页

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