Evidence Selection

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Overview

Evidence selection asks which retrieved documents, passages, claims, or multimodal observations are sufficient to support a decision or answer. It matters in retrieval-augmented generation, long-context and video reasoning, clinical decision support, and systematic-review screening, where missing or irrelevant evidence can distort results. Methods include learned retrievers and rerankers, utility and uncertainty scoring, graph or discrete optimization, and agents that acquire, verify, or compress evidence under a cost or token budget. A central challenge is that topical relevance and answer accuracy do not guarantee complete, traceable support: evidence quality, model variability, and downstream effects need separate evaluation, and more or better-filtered evidence does not always improve outcomes.

Latest papers

CardsList

61 papers15 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

  1. Beyond the Evidence Coherence Trap: Agent-Driven Evidence Selection for Temporally Disordered Fake News Detection

    Oct 27, 2026Chi Wang, Min Gao, Yifei Zhang +3Fake News DetectionEvidence Selection

    Chongqing University, China · Also with Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University), Ministry of Education of China. · University of Leicester, England

  2. DuQUAD: A Dual-View Framework with Quality-Aware Evidence Pruning for Multi-Document Question Answering

    Oct 25, 2026Yeonjun Choi, Seyeon Jeong, Jong Wook Kim +1Multi-Document QAEvidence-Grounded QA

    Graduate School of Information, Yonsei University, Seoul, South Korea · Department of Computer Science, Sangmyung University, Seoul, South Korea

  3. Temporal Evidence Allocation For Longitudinal Clinical Retrieval: A Position And Technical Report

    Oct 20, 2026Soumya Ranjan Sahoo, Divya Bharti, Sanand SasidharanTemporal IREvidence Selection

    GE HealthCare Technology and Innovation Center, India

  4. WORTH Benchmark: Evidence Discovery under Not-Fully-Cooperative Information -- A Two-Episode Pilot

    Oct 20, 2026Bo Zou, Chao XuLanguage Model Reasoning EvaluationEvidence Selection

    Bread Studio

  5. EpiLens: Lightweight RAG for Epidemiological Knowledge Acquisition

    Oct 19, 2026Vincenzo Perri, Ciro Cattuto, Daniela PaolottiLLM Information ExtractionEvidence Selection

    ISI Foundation, Turin, Italy.

  6. Benefit-Targeted Routing and Bounded Revision for LLM-Based Evidence Screening in Manufacturing Supplier Discovery

    Oct 19, 2026Yijiashun Qi, Hanzhe Guo, Yuxuan LiLLM RoutingEvidence Selection

    University of Michigan, Ann Arbor, MI 48109, USA · University of Pennsylvania, Philadelphia, PA 19104, USA

  7. QREF: Improving DeepSearch Agents by Aligning Search with Reasoning via Query Refinement and Evidence Filtering

    Oct 15, 2026Yujia Chen, Yuhui Wang, Junzhe Wang +15Agentic SearchWeb Search Agents

    Fudan University · Tencent

  8. ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps

    Oct 14, 2026Miaobo Hu, Shuhao Hu, Xiaobo Guo +4Evidence SelectionCost-Aware Inference

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

  9. Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents

    Oct 13, 2026Haochen Zhao, Minsheng Hao, Zheng Li +8Evidence-Grounded GenerationAI Agent Benchmarks

    Peking University · Tencent · Renmin University of China

  10. From Sampled Evidence to Radiology Reports: Objectives, Constraints, and Realization

    Oct 12, 2026Kun Zhao, Haoteng Tang, Chenghua Lin +1Radiology Report GenerationEvidence-Grounded Generation

    University of Pittsburgh · University of Texas Rio Grande Valley · The University of Manchester

  11. Agent-Guided Evidence Acquisition for Emotion-Cause Pair Extraction

    Oct 10, 2026Zhuangzhuang Pan, Yan Xia, Chee Seng ChanEvidence SelectionRelation Extraction

    Universiti Malaya, Malaysia · Suzhou University of Technology, China · VinUniversity, Vietnam

  12. SEEDS: Preview-Guided Evidence Admission for Search Agents

    Oct 9, 2026Jiajin Liu, Chenxi Xu, Dongzhe Fan +2Evidence SelectionAgentic Search

    New York University · New York University Shanghai

  13. MiniVer-V: Identifying Minimal Sufficient Evidence for Short Video Verification

    Oct 8, 2026Leran Chen, Lingnan Kong, Zile CaiClaim VerificationAutomated Fact-Checking

    The University of Sydney

  14. Has LLM Screening Performance Stalled in Software Engineering Systematic Reviews?

    Oct 7, 2026Aleksi Huotala, Miikka Kuutila, Mika MäntyläEvidence SelectionLLM Evaluation

    University of Helsinki, Helsinki, Finland. · LUT University, Lahti, Finland.

  15. BELIEFRAG: Making Adaptive RAG State-Aware under Evolving Evidence

    Sep 30, 2026Hongji PuAdaptive RAGEvidence Selection

    University of Illinois Urbana-Champaign

  16. When to Retrieve, When to Stay: Uncertainty-Aware Temporal Evidence Allocation for Streaming Video-LLMs

    Sep 29, 2026Xiang Hu, Jiazuo Yu, Lu Zhang +2Streaming Video UnderstandingEvidence Selection

    IIAU Lab, Dalian University of Technology

  17. Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding

    Sep 25, 2026Zhaoyuan Xia, Qinghongbing Xie, Yung Xiang Hue +7Long-Context Reasoning in Language ModelsLong-Context Modeling

    Peking University · Baidu Inc · Baidu Inc. +1

  18. What Changes When Fact-Verification Scores Improve? Evidence and Answer Accounting Across Trained Verifiers and LLMs

    Sep 22, 2026Han Chen, Yingrui LiLLM EvaluationEvidence Selection

  19. AVT-Fabric: Active Visuo-Tactile Perception via Adaptive Evidence Selection for Efficient Robotic Fabric Comparison

    Sep 18, 2026Chang Gao, Zhuo Chen, Suhang Xia +3Evidence SelectionRobotics

    Robot Perception Lab, Centre for Robotics Research, Department of Engineering, King’s College London, London WC2R 2LS, United Kingdom · School of Physics, Engineering and Technology, University of York, York YO10 5DD, United Kingdom · Imperial College London, London SW7 2AZ, United Kingdom

  20. A Benchmark Framework for Screening Automation in Systematic Reviews

    Sep 16, 2026Gauransh Kumar, Luciano Marchezan, Guillaume Genois +2LLM EvaluationEvidence Selection

    Université de Montréal Montreal, Canada

  21. Assurance Envelopes for Autonomous Coding Agents: Minimum-Cost Evidence for Software Change

    Sep 14, 2026Anjan GoswamiEvidence SelectionSoftware Engineering

    SmartInfer AI

  22. CITECHOICE: A Causal Audit of How Document Presentation Redistributes Citation Credit in Agentic Search

    Sep 14, 2026Sriram Selvam, Anneswa GhoshEvidence SelectionAgentic Retrieval

  23. 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 QARetrieval-Augmented Generation

    Department of Computer Science, Beijing Institute of Technology

  24. SciLitBench: Benchmark and Design Principles for LLM-Powered Systematic Literature Reviews

    Aug 29, 2026Miguel Zabaleta, Baihan LinSystematic Review AutomationLLM Evaluation

    Department of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA · Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA · Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA

  25. Propagating construction-time knowledge quality into medical question answering: A framework grounded in clinical guidelines

    Aug 28, 2026Jie Hu, Junjie Wang, Shan Lu +3Clinical QAEvidence Selection

    Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, 211166, China · Department of Maternal and Child Care, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China · Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China +2

  26. Evaluating human and LLM screening workflows in a conceptually complex scoping review: Recall--workload trade-offs and run-to-run consistency

    Aug 27, 2026Nikol Figalová, Lynn Huestegge, Anne Böckler-RaettigEvidence SelectionLLM Evaluation

    Institute of Psychology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany

  27. Assessing the Downstream Utility of Evidence-Aware Retrieval in RAG

    Aug 26, 2026Utshab Kumar Ghosh, Debayan Mukhopadhyay, Shubham ChatterjeeRAG EvaluationIR Evaluation

    Department of Computer Science Missouri University of Science and Technology Rolla, MO, USA · University of Calcutta Kolkata, West Bengal, India

  28. PARTAB: Partition-Aware Reasoning with Structured Evidence for Scalable Table Understanding

    Aug 25, 2026Md Mahadi Hasan Nahid, Davood RafieiTable ReasoningTable QA

    University of Alberta

  29. Class Imbalance and Batch Effects in LLM-Based Screening for Systematic Reviews

    Aug 13, 2026Gilberto Sussumu Hida, Danilo Monteiro Ribeiro, Clayton Suguio HidaClass-Imbalanced LearningLLM Evaluation

    Cesar School – AIBL Recife - PE - Brazil · UEAP Macap´a - AP - Brazil

  30. HNR-DAC: Hard-Negative Reranking and Distribution-Aligned Classification for Scientific Claim Verification

    Aug 7, 2026Zhenchao Wang, Xin Chen, Luoxi Zhang +2Claim VerificationDistribution Shift

    Southern University of Science and Technology, Shenzhen, China · Institute of Artificial Intelligence, Shenzhen University of Advanced Technology, Shenzhen, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China