Evidence Retrieval

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20 papers in the last four weeks, up 150% on the four weeks before. 0.2% of all new papers.

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Latest papers 94

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Finding the Right Balance: Relevance and Diversity in LLM Retrieval
Oct 7, 2026Guillaume Brouillette, Faustin Kagabo, Usef Faghihi +1Information Retrieval Retrieval-Augmented Generation
Université du Québec à Trois-Rivières, Trois-Rivières, Canada
From Chunks to Functional Evidence: Function-Aware Retrieval for EDA Documentation QA
Oct 7, 2026Xiaotian Qiu, Kairui Liu, Shi Chenyi +3Evidence Retrieval Retrieval-Augmented Generation
Zhejiang University · Shanghai Innovation Institute
Relevance Is Not Sufficiency: What Actually Closes the Evidence Gap in Long-Term Memory QA
Oct 7, 2026Yufeng Li, Shuxin Li, Zhenhua Xu +7Long-Term Conversational Memory Agent Memory Management
East China Normal University, Shanghai, China · Nanyang Technological University, Singapore · Zhejiang University, Hangzhou, China +3
Leveraging a four-quadrant approach for evaluating Redpine Science
Oct 6, 2026Filip Dorm, Leonora VesterbackaScientific QA RAG Evaluation
Redpine, Sweden.
T-Search: An Open Agentic Retriever and Playground for Hard Multi-Step Search
Oct 5, 2026Olga Tsymboi, Ramil Latypov, Aleksandr Medvedev +5Multi-Hop QA Agentic Search
T-Tech
Auditable Clinical Timeline Reconstruction with Provenance-Aware Evidence Graphs
Oct 5, 2026Judith Jeyafreeda AndrewData Provenance Clinical QA
Public Health Unit, Medical Information Department, Bordeaux University Hospital (CHU Bordeaux), Bordeaux, France.
LEAP: Learned Block-wise Evidence Retrieval for Long Audio-Video Perception
Sep 30, 2026Juyi Lin, Zhiqiang Lao, Jiali Cui +9Audio-Visual QA Long-Video QA
Northeastern University · Futurewei Technologies
BELIEFRAG: Making Adaptive RAG State-Aware under Evolving Evidence
Sep 30, 2026Hongji PuAdaptive RAG Evidence Selection
University of Illinois Urbana-Champaign
PathAnchor: Path-Structured Evidence for Scientific Agents
Sep 30, 2026Qiuhui Chen, Jiafan Lu, Shuaimin Tang +5Evidence-Grounded Reasoning Scientific QA
School of Information Science and Engineering, East China University of Science and Technology · College of Intelligent Robotics and Advanced Manufacturing, Fudan University · Tencent
Learning to Retrieve Missing Evidence for Long-Term Memory QA
Sep 29, 2026Yi-Xuan Deng, Yi Zhang, Wei Liu +2Persistent Memory for Language Models Question Answering
Tsinghua University
ConRAG: Lightweight inference of multi-hop relations
Sep 28, 2026Kilian Bänziger, Sonia Laguna, Markus Kreft +4Graph Retrieval-Augmented Generation Relational Reasoning
Agentic Systems Lab ETH Zurich · Agentic Systems Lab, ETH Zurich Norwegian University of Science and Technology
TableSeek: Structure-Preserving Agentic Evidence Seeking over Heterogeneous Table Corpora
Sep 28, 2026Jiaming Tian, Liyao Li, Wentao Ye +5Agentic Retrieval Table Retrieval
Zhejiang University · Bank of Hangzhou Co., Ltd. · Zhejiang Lab
Evidence-Inference Reconstruction: When The Evidence Is Recalled But The Reasoning Goes Wrong
Sep 27, 2026Megan Diehl, Ser-Nam LimMulti-Hop QA Evidence-Grounded Reasoning
University of Central Florida
From PDF to Evidence: Structure-Aware Retrieval for Clinical Practice Guidelines
Sep 27, 2026Xingyu Lin, Dehui DuHealthcare Information Retrieval
Software Engineering Institute, East China Normal University Shanghai, China
MORSE: Multi-Context Ordering via Reverse Scoring for Evidence-Preserving Compression
Sep 23, 2026Ke Wan, Yifan Wang, Liheng Lai +1Retrieval-Augmented Generation Evidence Retrieval
Department of Computer Science University of Virginia Charlottesville, VA, USA · AfterQuery
Large Knowledge Model: A Knowledge Foundation for Agentic Science at Scale
Sep 23, 2026Yuan Huang, Sihan Hu, Hongyu Gu +18KG Construction AI Agents for Scientific Discovery
DP Technology, Beijing, China · Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, China · International Center for Quantum Materials, School of Physics, Peking University, Beijing, China +4
The Sirens' Song: When Proximal Background Context Overshadows Distant Evidence
Sep 22, 2026Xiaoyu Yang, Jie Lu, Wei Duan +1Long-Context Language Model Evaluation Evidence Retrieval
Australian Artificial Intelligence Institute (AAII), Faulty of Engineering and Information Technology, University of Technology Sydney, Australia.
EPGM: Execution Provenance for Budgeted Agent Memory Retrieval
Sep 22, 2026Yiqi Wang, Jinqian Ju, Jiaqi Zhang +4Agent Memory Data Provenance
University of Southern Queensland Australia · Southern University of Science and Technology China · Jiangsu University China +2
FinFIRST: Benchmarking Search Agents for Financial Information Retrieval, Sourcing and Traceability
Sep 21, 2026Wenqing Wang, Haitao Xiang, Xinyi Zhao +8Financial QA AI Agent Benchmarks
Ling Team, Inclusion AI · Peking University · China International Capital Corporation Limited
The Missing Complement: State-Conditioned Minimal Sufficient Evidence for Coding Agents
Sep 17, 2026Zhexi Feng, Ruiyi Zhang, Yongbo Yang +1AI Coding Agents Agentic Retrieval
Department of Electrical and Computer Engineering University of California San Diego La Jolla, CA 92093, USA
Efficiently Linking Unstructured Data for Multi-step Reasoning
Sep 16, 2026Jiaming Liang, Haydn Jones, Jacob R. Gardner +2Hybrid IR Multi-Vector Retrieval
University of Pennsylvania Philadelphia, PA, USA
EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation
Sep 16, 2026Fengnan Li, Heman Burre, Liwen Sun +2LLM Answer Verification Clinical Outcome Prediction
Duke University
PageRecall: Measuring Page Selection in Literature-Grounded Question Answering
Sep 16, 2026Aaditya ChauhanDocument Information Extraction Scientific QA
Independent Researcher
Lit3R: Retrieve-Relate-Read for Evidence-Grounded Question Answering over Scientific Literature
Sep 15, 2026Akira Ise, Kotaro Kumagai, Yuta Yamaguchi +3Scientific QA Evidence-Grounded Generation
♠Tokyo University of Science · ♣Dentsu Soken Inc. · ♡Studio Ousia
Automated Detection and Structuring of Social Tipping Point Evidence in Climate related Documents: A Modular AI Framework
Sep 14, 2026Kavindu Perera, Mohammad Abaeiani, Ekaterina Gilman +14Climate Science Document Information Extraction
Center for Applied Computing, University of Oulu, Oulu, 90570, North Ostrobothnia, Finland. · Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, 90570, North Ostrobothnia, Finland. · ITML CY, 185 Arch. Makariou III Ave, Limassol, 3095, Cyprus. +6
ReGround: Grounding Reviewer Comments in Multimodal Evidence
Sep 11, 2026Serwar Basch, Lizhen Qu, Iryna GurevychMultimodal IR Scholarly Peer Review
Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science and Hessian Center for AI (hessian.AI), TU Darmstadt · Department of Data Science & AI, Monash University, Australia
Cite or Decline: A Strict Course-Grounded Chatbot for STEM Lecture Videos
Sep 1, 2026S M Masrur Ahmed, Jaspal SubhlokRetrieval-Augmented Generation Question Answering
University of Houston
EGT-KG: Evidence-Grounded Typed KG Retrieval for Practical Scientific QA with Small Language Models
Aug 31, 2026Muran Yu, Jiechao Gao, Yuandong Pan +5Graph Retrieval-Augmented Generation Small Language Models
Department of Civil and Environmental Engineering, Stanford University · Department of Civil Engineering, University of Calgary
Hi-Q: Hierarchical Evidence-guided Query Refinement for Multi-Hop Question Answering
Aug 31, 2026Jueun Kim, Sungho Park, Wook-Shin HanMulti-Hop QA Question Decomposition
Department of Computer Science and Engineering, POSTECH · Graduate School of Artificial Intelligence, POSTECH
PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generation
Aug 30, 2026Haokun Deng, Xunkai Li, Hongchao Qin +1Multi-Hop QA Retrieval-Augmented Generation
Department of Computer Science, Beijing Institute of Technology

Oct 7, 2026, cs.IRJ/K move · Enter open · S save

Finding the Right Balance: Relevance and Diversity in LLM Retrieval

Guillaume Brouillette, Faustin Kagabo, Usef Faghihi, Nadia Ghazzali

Université du Québec à Trois-Rivières, Trois-Rivières, Canada

Information Retrieval Retrieval-Augmented Generation Evidence Retrieval

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Retrieval diversification is widely available in retrieval-augmented generation (RAG) frameworks, yet prior studies disagree on whether it improves retrieval and answer quality. We show that its effectiveness varies primarily with candidate-pool redundancy, in a pattern consistent with the number of distinct evidence pieces a query requires. Using controlled near-duplicate injection and production-style overlapping chunking, we find that diversification harms relevance, evidence coverage and answer quality on clean pools, but becomes beneficial on multi-evidence tasks when redundancy causes nearest-neighbor retrieval to select repeated passages. We therefore introduce a query-adaptive rule that diversifies only when the effective number of distinct documents in the nearest-neighbor top-

k

selection falls below the query's evidence requirement. Computed from existing embeddings, the rule captures most of the achievable gain, transfers across datasets and encoders and automatically reduces to nearest-neighbor retrieval for single-evidence queries. We also introduce RNG-Score, a geometric reranker with an exact nearest-neighbor fallback whose margin indicates duplicate structure. Overall, we conclude that diversification should be used selectively, based on observable redundancy and evidence requirements.

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