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conftrace_

evidence retrieval

214 papers

ER

Papers

Exploring Health Misinformation Detection with Multi-Agent Debate AACL 2025 Exploring Semantic Filtering Heuristics For Efficient Claim Verification ACL 2025 FACT5: A Novel Benchmark and Pipeline for Nuanced Fact-Checking of Complex Statements ACL 2025 FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation ACL 2025 (Fact) Check Your Bias ACL 2025 FaStFact: Faster, Stronger Long-Form Factuality Evaluations in LLMs EMNLP 2025 FIRE: Fact-checking with Iterative Retrieval and Verification NAACL 2025 GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs IJCAI 2025 GQC: LLM-Based Grouped QA Consolidation for Open-Domain Fact Verification at AVeriTeC ACL 2025 Improving Context Fidelity via Native Retrieval-Augmented Reasoning EMNLP 2025 IndicClaimBuster: A Multilingual Claim Verification Dataset IJCNLP 2025 Inter-Passage Verification for Multi-evidence Multi-answer QA ACL 2025 Literary Evidence Retrieval via Long-Context Language Models ACL 2025 Loki: An Open-Source Tool for Fact Verification COLING 2025 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning AAAI 2025 Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering ACL 2025 Overview of the ArchEHR-QA 2025 Shared Task on Grounded Question Answering from Electronic Health Records ACL 2025 PeerQA: A Scientific Question Answering Dataset from Peer Reviews NAACL 2025 Pioneering Explainable Video Fact-Checking with a New Dataset and Multi-role Multimodal Model Approach AAAI 2025 PledgeTracker: A System for Monitoring the Fulfilment of Pledges EMNLP 2025 Portuguese Automated Fact-checking: Information Retrieval with Claim extraction ACL 2025 PropRAG: Guiding Retrieval with Beam Search over Proposition Paths EMNLP 2025 Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification ACL 2025 Retrieving Support to Rank Answers in Open-Domain Question Answering EMNLP 2025 Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning AAAI 2025