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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

Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments ACL 2026
Hallucination Detection in LLMs with Topological Divergence on Attention Graphs ACL 2026
HAT: Hallucination Annotation for Translation ACL 2026
ReFL: Reflective Feedback Learning for Hallucination Detection of Large Language Models ACL 2026
Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations ACL 2026
GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark WACV 2026
Do LLM hallucination detectors suffer from low-resource effect? EACL 2026
Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026
Attribution-Guided Multi-Object Hallucination and Bias Detection in Vision-Language Models EACL 2026
Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026
DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness EACL 2026
KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge EACL 2026
RiddleBench: A New Generative Reasoning Benchmark for LLMs EACL 2026
A Knowledge Graph Based Diagnostic Framework for Analyzing Hallucinations in Arabic Machine Reading Comprehension EACL 2026
POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs EACL 2026
Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict AAAI 2026
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026
Multi-Agent Undercover Gaming: Hallucination Removal Through Counterfactual Test for Multimodal Reasoning AAAI 2026
Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models AAAI 2026
Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding AAAI 2026
Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs AAAI 2026
Global-Local Confidence Fusion for Hallucination Detection in Mathematical Reasoning Task AAAI 2026
HalluClean: A Unified Framework to Combat Hallucinations in LLMs AAAI 2026
Diffusion for Combating the Hallucination in Large Language Models (Student Abstract) AAAI 2026
Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations ACL 2026