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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

NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SelfCheckGPT ACL 2025
SynClaimEval: A Framework for Evaluating the Utility of Synthetic Data in Long-Context Claim Verification AACL 2025
G2LDetect: A Global-to-Local Approach for Hallucination Detection AAAI 2025
“AGI” team at SHROOM-CAP: Data-Centric Approach to Multilingual Hallucination Detection using XLM-RoBERTa AACL 2025
SmurfCat at SHROOM-CAP: Factual but Awkward? Fluent but Wrong? Tackling Both in LLM Scientific QA AACL 2025
Attributive Reasoning for Hallucination Diagnosis of Large Language Models AAAI 2025
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025
Deloitte (Drocks) at SemEval-2025 Task 3: Fine-Grained Multi-lingual Hallucination Detection Using Internal LLM Weights ACL 2025
SHROOM-CAP: Shared Task on Hallucinations and Related Observable Overgeneration Mistakes in Crosslingual Analyses of Publications AACL 2025
Team Cantharellus at SemEval-2025 Task 3: Hallucination Span Detection with Fine Tuning on Weakly Supervised Synthetic Data ACL 2025
BHRAM-IL: A Benchmark for Hallucination Recognition and Assessment in Multiple Indian Languages AACL 2025
Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts AACL 2025
HalluCounter: Reference-free LLM Hallucination Detection in the Wild! AACL 2025
Hallucination Detectives at SemEval-2025 Task 3: Span-Level Hallucination Detection for LLM-Generated Answers ACL 2025
GIL-IIMAS UNAM at SemEval-2025 Task 3: MeSSI: A Multilmodule System to detect hallucinated Segments in trivia-like Inquiries. ACL 2025
AUTOSUMM: A Comprehensive Framework for LLM-Based Conversation Summarization ACL 2025
Knowledge-Centric Hallucination Detection EMNLP 2024
CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence NIPS 2024
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models NIPS 2024
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NIPS 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NIPS 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NIPS 2024
FineSurE: Fine-grained Summarization Evaluation using LLMs ACL 2024
Unified Hallucination Detection for Multimodal Large Language Models ACL 2024
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation ACL 2024