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hallucination detection

530 papers

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large language model (13587) retrieval-augmented generation (1592) text generation (2913) text classification (6793) uncertainty quantification (1393) natural language inference (1287) language model (4599) question answering (2963) benchmark evaluation (1556) fact verification (257)

Papers

NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection SEMEVAL 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
Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection EMNLP 2023
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering EMNLP 2023
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better ACL 2023
Contrastive Error Attribution for Finetuned Language Models ACL 2023
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization EACL 2023
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation EACL 2023
Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text EMNLP 2023
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation EMNLP 2023
Evaluating Object Hallucination in Large Vision-Language Models EMNLP 2023
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency EMNLP 2023
GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization ACL 2023
Med-HALT: Medical Domain Hallucination Test for Large Language Models EMNLP 2023
CReTIHC: Designing Causal Reasoning Tasks about Temporal Interventions and Hallucinated Confoundings EMNLP 2023
Evaluating Open-Domain Question Answering in the Era of Large Language Models ACL 2023
Pragmatic Pertinence: A Learnable Confidence Metric to Assess the Subjective Quality of LM-Generated Text INTERSPEECH 2023
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition ACL 2023
Models See Hallucinations: Evaluating the Factuality in Video Captioning EMNLP 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models EMNLP 2023
Detecting and Mitigating Hallucinations in Multilingual Summarisation EMNLP 2023
Fast and Accurate Factual Inconsistency Detection Over Long Documents EMNLP 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus EMNLP 2023
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation EMNLP 2023
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation EMNLP 2023