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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

Can I trust You? LLMs as conversational agents EACL 2024
Simple Token-Level Confidence Improves Caption Correctness WACV 2024
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 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
German Also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset COLING 2024
Automated Question-Answer Generation for Evaluating RAG-based Chatbots COLING 2024
Deductive Verification of LLM Generated SPARQL Queries COLING 2024
Hallucination Detection in LLM-enriched Product Listings COLING 2024
ASOS at Arabic LLMs Hallucinations 2024: Can LLMs detect their Hallucinations :) COLING 2024
On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization NAACL 2024
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method NAACL 2024
HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes NAACL 2024
NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT NAACL 2024
Byun at SemEval-2024 Task 6: Text Classification on Hallucinating Text with Simple Data Augmentation NAACL 2024
DeepPavlov at SemEval-2024 Task 6: Detection of Hallucinations and Overgeneration Mistakes with an Ensemble of Transformer-based Models NAACL 2024
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models NAACL 2024
IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations? NAACL 2024
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data NAACL 2024
SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection NAACL 2024
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection NAACL 2024
NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection NAACL 2024
DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes NAACL 2024
TU Wien at SemEval-2024 Task 6: Unifying Model-Agnostic and Model-Aware Techniques for Hallucination Detection NAACL 2024