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conftrace_

factual accuracy

106 papers

Papers

ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs EACL 2026 Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations ACL 2026 GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs ACL 2026 KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge EACL 2026 Multi-Hall-SA: A Cross-lingual Benchmark for Multi-Type Hallucination Detection in Low-Resource South African Languages EACL 2026 Rethinking the Evaluation of Alignment Methods: Insights into Diversity, Generalisation, and Safety EACL 2026 VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis ACL 2026 AccessEval: Benchmarking Disability Bias in Large Language Models EMNLP 2025 Agent-as-Judge for Factual Summarization of Long Narratives EMNLP 2025 Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning ACL 2025 All That Glitters is Not Gold: Improving Robust Retrieval-Augmented Language Models with Fact-Centric Preference Alignment ACL 2025 Atomic Consistency Preference Optimization for Long-Form Question Answering IJCNLP 2025 Benchmarking and Improving LLM Robustness for Personalized Generation EMNLP 2025 Better Together: Towards Localizing Fact-Related Hallucinations using Open Small Language Models AACL 2025 Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation ACL 2025 Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses EMNLP 2025 ControlMed: Adding Reasoning Control to Medical Language Model IJCNLP 2025 Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models EMNLP 2025 DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models EMNLP 2025 Efficient Real-time Refinement of Language Model Text Generation EMNLP 2025 Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generation NAACL 2025 FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs EMNLP 2025 Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts EMNLP 2025 G2LDetect: A Global-to-Local Approach for Hallucination Detection AAAI 2025 GEAR: A Scalable and Interpretable Evaluation Framework for RAG-Based Car Assistant Systems EMNLP 2025