hallucination detection

Bias in News Summarization: Measures, Pitfalls and Corpora ACL 2024 BrainLlama at SemEval-2024 Task 6: Prompting Llama to detect hallucinations and related observable overgeneration mistakes SemEval 2024 Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data Augmentation SemEval 2024 Can I trust You? LLMs as conversational agents EACL 2024 CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models ACL 2024 CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text EMNLP 2024 CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems ACL 2024 Citation-Enhanced Generation for LLM-based Chatbots ACL 2024 Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination SemEval 2024 Contrastive Decoding Reduces Hallucinations in Large Multilingual Machine Translation Models EACL 2024 CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence NeurIPS 2024 Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison EMNLP 2024 Deductive Verification of LLM Generated SPARQL Queries COLING 2024 DeepPavlov at SemEval-2024 Task 6: Detection of Hallucinations and Overgeneration Mistakes with an Ensemble of Transformer-based Models SemEval 2024 Detecting and Preventing Hallucinations in Large Vision Language Models AAAI 2024 Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors EMNLP 2024 Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics COLING 2024 Detection, Diagnosis, and Explanation: A Benchmark for Chinese Medical Hallucination Evaluation COLING 2024 DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models EMNLP 2024 Do Androids Know They’re Only Dreaming of Electric Sheep? ACL 2024 Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer COLING 2024 Do Language Models Know When They’re Hallucinating References? EACL 2024 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes SemEval 2024 Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024