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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

Bias in News Summarization: Measures, Pitfalls and Corpora ACL 2024
Strong hallucinations from negation and how to fix them ACL 2024
CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models ACL 2024
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models CVPR 2024
Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the Wild EMNLP 2024
UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs EMNLP 2024
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models EMNLP 2024
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection EMNLP 2024
LLM Internal States Reveal Hallucination Risk Faced With a Query EMNLP 2024
Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations EMNLP 2024
Atomic Self-Consistency for Better Long Form Generations EMNLP 2024
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration EMNLP 2024
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists EMNLP 2024
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024
Tutorial Proposal: Hallucination in Large Language Models COLING 2024
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer COLING 2024
UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes NAACL 2024
HaRMoNEE at SemEval-2024 Task 6: Tuning-based Approaches to Hallucination Recognition NAACL 2024
BrainLlama at SemEval-2024 Task 6: Prompting Llama to detect hallucinations and related observable overgeneration mistakes NAACL 2024
MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations NIPS 2024
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection NIPS 2024
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space NIPS 2024
Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation NIPS 2024
IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations? SEMEVAL 2024
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data SEMEVAL 2024