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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

Multi-Hall-SA: A Cross-lingual Benchmark for Multi-Type Hallucination Detection in Low-Resource South African Languages EACL 2026

Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models AAAI 2026

Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity EACL 2026

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs EACL 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

HalluZig: Hallucination Detection using Zigzag Persistence EACL 2026

HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token EACL 2026

Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness Labels EACL 2026

Multilingual Self-Taught Faithfulness Evaluators EACL 2026

The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods EACL 2026

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict AAAI 2026

Teach AI What It Doesn’t Know AAAI 2026

PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination AAAI 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

CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation AAAI 2026