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Koyel Mukherjee

ACL 2026×2检索与知识可解释性安全评测与基准
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/6ACL 2026Findings· Findings of ACL

Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG

Agam Goyal · Koyel Mukherjee · Apoorv Saxena · Anirudh Phukan · Eshwar Chandrasekharan · Hari Sundaram

摘要

Dense retrievers in retrieval-augmented generation (RAG) systems exhibit systematic biases—including brevity, position, literal matching, and repetition biases—that can compromise retrieval quality. Query rewriting techniques are now standard in RAG pipelines, yet their impact on these biases rem...

检索与知识安全可解释性OpenReview 项目页
作者位次 #4/4ACL 2026Findings· Findings of ACL

An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA

Saransh Sharma · Pritika Ramu · Aparna Garimella · Koyel Mukherjee

摘要

Answering open-ended questions remains challenging for AI systems because it requires synthesis, judgment, and exploration beyond factual retrieval, and users often refine answers through multiple iterations rather than accepting a single response. Existing QA benchmarks do not explicitly support...

检索与知识评测与基准可解释性OpenReview 项目页

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