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Benjamin Van Durme

AAAI 2026×3ACL 2026×3SIGIR 2026×2KDD 2026检索与知识推理评测与基准数据与预训练可解释性
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0 一作 · 9 篇 · AAAI 2026 / ACL 2026 / SIGIR 2026 / KDD 2026

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2026 顶会论文

9
作者位次 #4/5ACL 2026Poster· Natural Language Processing

ar X iv2 T able: Toward Realistic Benchmarking and Evaluation for LLM -Based Literature-Review Table Generation

Weiqi Wang · Jiefu Ou · Yangqiu Song · Benjamin Van Durme · Daniel Khashabi

摘要

Literature review tables are essential for summarizing and comparing collections of scientific papers. In this paper, we study automatic generation of such tables from a pool of papers to satisfy a user’s information need. Building on recent work (Newman et al., 2024), we move beyond oracle setti...

评测与基准社会与人本检索与知识OpenReview 项目页
作者位次 #8/8ACL 2026Findings· Findings of ACL

W iki V ideo: Article Generation from Multiple Videos

Alexander Martin · Reno Kriz · William Gantt Walden · Kate Sanders · Hannah Recknor · Eugene Yang · Francis Ferraro · Benjamin Van Durme

摘要

We introduce the task of grounded article generation with the goal of creating a Wikipedia-style article from multiple diverse videos about real-world events—from natural disasters to political elections—where all the information in the article is supported by video evidence. Videos are intuitive...

多模态检索与知识推理OpenReview 项目页
作者位次 #7/7ACL 2026Findings· Findings of ACL

How Grounded is W ikipedia? A Study on Structured Evidential Support and Retrieval

William Gantt Walden · Kathryn Ricci · Miriam Wanner · Zhengping Jiang · Chandler May · Rongkun Zhou · Benjamin Van Durme

摘要

Wikipedia is a critical resource for modern NLP, serving as a rich repository of up-to-date and citation-backed information on a wide variety of subjects. The reliability of Wikipedia—its groundedness in its cited sources—is vital to this purpose. This work analyzes both how grounded Wikipedia is...

检索与知识推理数据与预训练OpenReview 项目页
作者位次 #6/6SIGIR 2026Oral· Information Retrieval (Full)

Multi-Vector Index Compression in Any Modality

Hanxiang Qin · Alexander Martin · Rohan Jha · Chunsheng Zuo · Reno Kriz · Benjamin Van Durme

摘要

We study efficient multi-vector retrieval for late interaction in any modality. Late interaction has emerged as a dominant paradigm for information retrieval across modalities, but its computation and storage costs grow linearly with document length, making it costly for multimodal corpora. To ad...

可解释性效率与系统检索与知识OpenReview
作者位次 #6/7SIGIR 2026Poster· Information Retrieval (Resource)

CoverageBench: Evaluating Information Coverage across Tasks and Domains

Saron Samuel · Andrew Yates · Dawn Lawrie · Ian Soboroff · Trevor Adriaanse · Benjamin Van Durme · Eugene Yang

摘要

We wish to measure the information coverage of an ad hoc retrieval algorithm, that is, how much of the range of available relevant information is covered by the search results.Information coverage is a central aspect for retrieval, especially when the retrieval system is integrated with generativ...

评测与基准检索与知识数据与预训练OpenReview
作者位次 #2/2AAAI 2026Poster· Artificial Intelligence

Bonsai: Interpretable Tree-Adaptive Grounded Reasoning

Kate Sanders · Benjamin Van Durme

推理可解释性OpenReview

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