paper-with-me

Document Ranking

2개 벤치마크 · 논문 177편 · 이 태스크의 논문 보기 →

Benchmarks

DaReCzech

결과 6개

ClueWeb09-B

결과 2개

Most implemented

Papers

CAR: Query-Guided Confidence-Aware Reranking for Retrieval-Augmented Generation

2026-05-06 · Zhipeng Song, Yizhi Zhou, Xiangyu Kong, Jiulong Jiao 외 arxiv

Retrieval-Augmented Generation (RAG) depends on document ranking to provide useful evidence for generation, but conventional reranking methods mainly optimize query-document relevance rather than generation usefulness. A…

Document Ranking

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search

2026-04-19 · Hansi Zeng, Liam Collins, Bhuvesh Kumar, Neil Shah 외 arxiv

Agentic search -- the task of training agents that iteratively reason, issue queries, and synthesize retrieved information to answer complex questions -- has achieved remarkable progress through reinforcement learning (R…

Reinforcement LearningDocument Ranking

Beyond Fluency: Toward Reliable Trajectories in Agentic IR

2026-04-05 · Anushree Sinha, Srivaths Ranganathan, Debanshu Das, Abhishek Dharmaratnakar arxiv

Information Retrieval is shifting from passive document ranking toward autonomous agentic workflows that operate in multi-step Reason-Act-Observe loops. In such long-horizon trajectories, minor early errors can cascade, …

Information RetrievalDocument Ranking

Analytical Search

2026-02-12 · Yiteng Tu, Shuo Miao, Weihang Su, Yiqun Liu 외 arxiv

Analytical information needs, such as trend analysis and causal impact assessment, are prevalent across various domains including law, finance, science, and much more. However, existing information retrieval paradigms, w…

Information RetrievalQuestion AnsweringDocument Ranking

ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search

2025-09-27 · Zeyu Shen, Basileal Imana, Tong Wu, Chong Xiang 외 arxiv

Retrieval-Augmented Generation (RAG) enhances Large Language Models by grounding their outputs in external documents. These systems, however, remain vulnerable to attacks on the retrieval corpus, such as prompt injection…

Adversarial RobustnessDocument Ranking

+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking

2025-08-14 · Xingyu Deng, Xi Wang, Mark Stevenson arxiv

Identification of appropriate supporting evidence is critical to the success of scientific fact checking. However, existing approaches rely on off-the-shelf Information Retrieval algorithms that rank documents based on r…

Information RetrievalDocument RankingFact Checking

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