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Chao Zhang

AAAI 2026×2ACL 2026×2ICRA 2026推理检索与知识评测与基准可解释性效率与系统
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1 一作 · 5 篇 · AAAI 2026 / ACL 2026 / ICRA 2026

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2026 顶会论文

5
作者位次 #4/5ACL 2026Poster· Natural Language Processing

S 2 G - RAG : Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA

Minghan Li · Junjie Zou · Xinxuan Lv · Chao Zhang · Guodong Zhou

摘要

Retrieval-Augmented Generation (RAG) grounds language models in external evidence, but multi-hop question answering remains difficult because iterative pipelines must control what to retrieve next and when the available evidence is adequate. In practice, systems may answer from incomplete evidenc...

检索与知识推理评测与基准OpenReview 项目页
作者位次 #3/4ACL 2026Poster· Natural Language Processing

GLIER : Generative Legal Inference and Evidence Ranking for Legal Case Retrieval

Minghan Li · Tianrui Lv · Chao Zhang · Guodong Zhou

摘要

The semantic gap between colloquial user queries and professional legal documents presents a fundamental challenge in Legal Case Retrieval (LCR). Existing dense retrieval methods typically treat LCR as a black-box semantic matching process, neglecting the explicit juridical logic that underpins l...

可解释性效率与系统推理OpenReview 项目页
一作AAAI 2026Poster· Artificial Intelligence

RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA

Chao Zhang · Minghan Li · Tianrui Lv · Guodong Zhou

推理检索与知识OpenReview

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