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hallucination evaluation

21 papers

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large language model (10) hallucination detection (8) benchmark evaluation (5) evaluation benchmark (4) vision-language model (4) multimodal large language model (3) multimodal learning (3) object hallucination (2) retrieval-augmented generation (2) language model (2)

Papers

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations ACL 2026 EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding EMNLP 2025 FIHA: Automated Fine-grained Hallucinations Evaluations in Large Vision Language Models with Davidson Scene Graphs ACL 2025 KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions COLING 2025 Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering IJCAI 2025 ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models CVPR 2025 PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset CVPR 2025 Should I Believe in What Medical AI Says? A Chinese Benchmark for Medication Based on Knowledge and Reasoning ACL 2025 TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation ACL 2025 Trust but Verify: Programmatic VLM Evaluation in the Wild ICCV 2025 ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization ACL 2024 ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation ACL 2024 CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems ACL 2024 “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation EMNLP 2024 MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models ACL 2024 Multi-Object Hallucination in Vision Language Models NeurIPS 2024 ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024 UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation ACL 2024 Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models Interspeech 2024 VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models ACL 2024 HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models EMNLP 2023