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Hallucination Detection in Large Language Models with Metamorphic Relations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11704-025-50472-3openalex-snapshot
Large language models meet NLP: a survey
inferredcites →https://doi.org/10.1016/b978-0-443-29246-0.00004-3openalex-snapshot
Truth-O-Meter: Collaborating with LLM in fighting its hallucinations
inferredcites →https://doi.org/10.1016/j.hcc.2024.100211openalex-snapshot
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
inferredcites →https://doi.org/10.1016/j.jnlest.2022.100159openalex-snapshot
Knowledge graph and knowledge reasoning: A systematic review
inferredcites →https://doi.org/10.1109/icst60714.2024.00019openalex-snapshot
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities
inferredcites →https://doi.org/10.1109/tpami.2024.3417451openalex-snapshot
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
inferredcites →https://doi.org/10.1109/tse.2019.2962027openalex-snapshot
Machine Learning Testing: Survey, Landscapes and Horizons
inferredcites →https://doi.org/10.1145/2642937openalex-snapshot
Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3377811openalex-snapshot
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
inferredcites →https://doi.org/10.1145/3571730openalex-snapshot
Survey of Hallucination in Natural Language Generation
inferredcites →https://doi.org/10.1145/3613904openalex-snapshot
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/3689776openalex-snapshot
Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models
inferredcites →https://doi.org/10.1145/3697010openalex-snapshot
An Empirical Study of the Non-Determinism of ChatGPT in Code Generation
inferredcites →https://doi.org/10.1145/3703155openalex-snapshot
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
inferredcites →https://doi.org/10.1162/coli.a.16openalex-snapshot
🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
inferredcites →https://doi.org/10.1162/tacl_a_00454openalex-snapshot
A Survey on Automated Fact-Checking
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.229openalex-snapshot
TruthfulQA: Measuring How Models Mimic Human Falsehoods
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.397openalex-snapshot
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.778openalex-snapshot
LM vs LM: Detecting Factual Errors via Cross Examination
inferredcites →https://doi.org/10.18653/v1/2023.findings-aclopenalex-snapshot
Findings of the Association for Computational Linguistics: ACL 2023
inferredcites →https://doi.org/10.18653/v1/2024.findings-eacl.62openalex-snapshot
Do Language Models Know When They’re Hallucinating References?
inferredcites →https://doi.org/10.18653/v1/2025.trustnlp-main.37openalex-snapshot
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
inferredcites →https://doi.org/10.48550/arxiv.1809.09600openalex-snapshot
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
inferredcites →https://doi.org/10.48550/arxiv.2007.06267openalex-snapshot
BoxE: A Box Embedding Model for Knowledge Base Completion
inferredcites →https://doi.org/10.48550/arxiv.2010.11465openalex-snapshot
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
inferredcites →https://doi.org/10.48550/arxiv.2104.04402openalex-snapshot
A preliminary study on evaluating Consultation Notes with Post-Editing
inferredcites →https://doi.org/10.48550/arxiv.2203.05227openalex-snapshot
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
inferredcites →https://doi.org/10.48550/arxiv.2206.06383openalex-snapshot
An Exploration of Post-Editing Effectiveness in Text Summarization
inferredcites →https://doi.org/10.48550/arxiv.2207.05221openalex-snapshot
Language Models (Mostly) Know What They Know
inferredcites →https://doi.org/10.48550/arxiv.2303.08896openalex-snapshot
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2303.15621openalex-snapshot
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization
inferredcites →https://doi.org/10.48550/arxiv.2305.11859openalex-snapshot
Complex Claim Verification with Evidence Retrieved in the Wild
inferredcites →https://doi.org/10.48550/arxiv.2305.14251openalex-snapshot
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
inferredcites →https://doi.org/10.48550/arxiv.2306.13063openalex-snapshot
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
inferredcites →https://doi.org/10.48550/arxiv.2306.13781openalex-snapshot
Retrieving Supporting Evidence for LLMs Generated Answers
inferredcites →https://doi.org/10.48550/arxiv.2307.03987openalex-snapshot
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
inferredcites →https://doi.org/10.48550/arxiv.2307.13528openalex-snapshot
FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
inferredcites →https://doi.org/10.48550/arxiv.2310.01469openalex-snapshot
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.2310.03214openalex-snapshot
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
inferredcites →https://doi.org/10.48550/arxiv.2401.11817openalex-snapshot
Hallucination is Inevitable: An Innate Limitation of Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2402.10543openalex-snapshot
Strong hallucinations from negation and how to fix them
inferredcites →https://doi.org/10.48550/arxiv.2501.12862openalex-snapshot
Mutation-Guided LLM-based Test Generation at Meta
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-21373-0_23openalex-snapshot
LLM-Guided Metamorphic Testing: A QA-Taxonomy Driven Approach to Automated Test-Case Generation
inferred← citeshttps://doi.org/10.1007/978-3-032-37933-7_22openalex-snapshot
Accuracy is not Enough: Counterfactual Robustness Analysis for Vietnamese Hallucination Detection
inferred← citeshttps://doi.org/10.1007/978-981-92-2600-9_24openalex-snapshot
SelfCheckHybrid: A Hybrid Framework for Hallucination Detection in Vietnamese Large Language Models
inferred← citeshttps://doi.org/10.1007/s10844-026-01047-6openalex-snapshot
Hallucination detection in large language models based on multi-granularity consistency
inferred← citeshttps://doi.org/10.1007/s11390-026-5705-zopenalex-snapshot
Safety Evaluation for Large Language Models with Metamorphic Testing: An Empirical Study
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.100970openalex-snapshot
Large language models hallucination: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116324openalex-snapshot
LGMT: Logic-Grounded Metamorphic Testing for evaluating the reasoning reliability of LLMs
inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315450openalex-snapshot
Ensemble Hallucination Detection in Arabic Large Language Models: A Multi-Modal Linguistic and Self-Consistency Approach
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00225openalex-snapshot
HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing
inferred← citeshttps://doi.org/10.1109/icaiet65052.2025.11211393openalex-snapshot
Integrating Token-Level Uncertainty, Bidirectional NLI, and Semantic Entropy for Robust Hallucination Detection in Large Language Models
inferred← citeshttps://doi.org/10.1109/icaiii69475.2026.11521815openalex-snapshot
HallucinationX: Explainability-Guided Detection of Hallucinations in Large Language Models
inferred← citeshttps://doi.org/10.1109/icarc68737.2026.11454122openalex-snapshot
Prioritized Cross-Model Verification System for Hallucination Detection in Black-Box Large Language Models
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462617openalex-snapshot
Constrained Paraphrase Consistency for LLM Hallucination Detection
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463868openalex-snapshot
Cross Paraphrastic Invariance Learning for Hallucination Detection
inferred← citeshttps://doi.org/10.1109/iccnct68477.2026.11590219openalex-snapshot
A Hybrid Retrieval-Augmented Cross-Verification Framework for Detecting and Mitigating Hallucinations in Large Language Models using RMF-DMHLLM
inferred← citeshttps://doi.org/10.1109/iccvbic71195.2026.11688377openalex-snapshot
Hallucination Patterns and Its Detection Among LLMs Tuned in Low Resource Languages
inferred← citeshttps://doi.org/10.1109/iccvbic71195.2026.11689281openalex-snapshot
A Systematic Review of Approaches Used in Hallucination Detection Among Large Learning Models
inferred← citeshttps://doi.org/10.1109/icrito66076.2025.11241896openalex-snapshot
Lightweight Self-Consistency Voting Framework for Reliable Hallucination Detection in LLMs
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00025openalex-snapshot
Metamorphic Testing of Large Language Models for Natural Language Processing
inferred← citeshttps://doi.org/10.1109/itsc60802.2025.11423129openalex-snapshot
BetterCheck: Towards Safeguarding VLMs for Automotive Perception Systems
inferred← citeshttps://doi.org/10.1109/tic68483.2026.11703004openalex-snapshot
CI-FailureGuard: A Hallucination-Resilient Framework for CI/CD Failure Diagnosis Through Claim-Level Verification
inferred← citeshttps://doi.org/10.1109/wccst67302.2026.11496072openalex-snapshot
HalluciSafe: Entailment-Driven Hallucination Suppression in LLM-Assisted Manuscripts
inferred← citeshttps://doi.org/10.1145/3796315.3796340openalex-snapshot
Unveiling the Causes of AI Hallucination: A Case Study
inferred← citeshttps://doi.org/10.1145/3797146openalex-snapshot
Validating LLM-Generated SQL Queries through Metamorphic Prompting
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10303665/v1openalex-snapshot
A Risk-Oriented Verification and Validation Framework for Hallucination Detection in Public-Sector LLM Systems
inferred← citeshttps://doi.org/10.3390/app16178466openalex-snapshot
Collaborative Support for Software Product Line Modeling and Project Management: A Generative AI-Enhanced Approach with Real-Time Synchronization
inferred← citeshttps://doi.org/10.58830/ozgur.pub1230.c4969openalex-snapshot
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