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Eunsol Choi

ACL 2026×2ICLR 2026评测与基准检索与知识效率与系统推理社会与人本
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0 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #8/10ACL 2026Poster· Natural Language Processing

B ench M arker: An Education-Inspired Toolkit for Highlighting Flaws in Multiple-Choice Benchmarks

Nishant Balepur · Bhavya Rajasekaran · Hyunjin Jane Oh · Michael Xie · Atrey Desai · Vipul Gupta · Steven James Moore · Eunsol Choi · Rachel Rudinger · Jordan Lee Boyd-Graber

摘要

Multiple-choice question answering (MCQA) is standard in NLP, but benchmarks lack rigorous quality control. We present BenchMarker, an education-inspired toolkit using LLM judges to flag three common MCQ flaws: 1) contamination—items appearing exactly online; 2) shortcuts—cues in the choices that...

评测与基准检索与知识社会与人本OpenReview 项目页
作者位次 #8/10ACL 2026Poster· Natural Language Processing

Language Models Don’t Know What You Want: Evaluating Personalization in Deep Research Needs Real Users

Nishant Balepur · Malachi Hamada · Varsha Kishore · Sergey Feldman · Amanpreet Singh · Pao Siangliulue · Joseph Chee Chang · Eunsol Choi · Jordan Lee Boyd-Graber · Aakanksha Naik

摘要

Deep Research (DR) tools (e.g. OpenAI DR) help researchers cope with ballooning publishing counts. Such tools can synthesize scientific papers to answer researchers’ queries, but lack understanding of their users. We change that in MyScholarQA (MySQA), a personalized DR tool that: 1) infers a pro...

评测与基准检索与知识对齐与偏好OpenReview 项目页

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