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Dongqi Fu

ACL 2026×2KDD 2026×2ICML 2026检索与知识效率与系统可解释性多模态多语言与语言学
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0 一作 · 5 篇 · ACL 2026 / KDD 2026 / ICML 2026

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2026 顶会论文

5
作者位次 #5/6ACL 2026Workshop· ACL System Demonstrations

P hy V er: Physics-Grounded Material Claim Verification with Multi-Fidelity Physical Evidence

Jianpeng Chen · Wangzhi Zhan · Haohui Wang · Brian Mayer · Dongqi Fu · Dawei Zhou

摘要

Material claims in papers, patents, etc., often involve physical feasibility (e.g., stability under conditions, property consistency), not just textual feasibility. Yet most claim verifiers operate over language, therefore producing ungrounded judgments. On the other hand, directfirst-principles...

可解释性多模态多语言与语言学OpenReview 项目页
作者位次 #2/8ACL 2026Findings· Findings of ACL

RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking

Jiaru Zou · Dongqi Fu · Sirui Chen · Xinrui He · Zihao Li · Yada Zhu · Jiawei Han · Jingrui He

摘要

Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating them with an external knowledge base to improve the answer relevance and accuracy. In real-world scenarios, beyond pure text, a substantial amount of knowledge is stored in tables, and user questions often r...

检索与知识效率与系统评测与基准OpenReview 项目页
作者位次 #2/4KDD 2026Oral· Knowledge Discovery & Data Mining

Local Clustering on Complex Graphs and Complex Hypergraphs

Zihao Li · Dongqi Fu · Hengyu Liu · Jingrui He

检索与知识OpenReview

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