hallucination detection

HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models ACL 2026 Hallucination Detection in LLMs with Topological Divergence on Attention Graphs ACL 2026 HalluClean: A Unified Framework to Combat Hallucinations in LLMs AAAI 2026 HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration CVPR 2026 HalluZig: Hallucination Detection using Zigzag Persistence EACL 2026 HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token EACL 2026 HAT: Hallucination Annotation for Translation ACL 2026 Improving Vision-language Models with Perception-centric Process Reward Models CVPR 2026 Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models AAAI 2026 KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge EACL 2026 LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection ACL 2026 Learning Uncertainty from Sequential Internal Dispersion in Large Language Models ACL 2026 Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments ACL 2026 Logic Matters in Lightweight Hallucination Classification for RAG System ACL 2026 LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation ACL 2026 Lyapunov Probes for Hallucination Detection in Large Foundation Models CVPR 2026 MARCH: Multi-Agent Reinforced Check for Hallucination ACL 2026 Multi-Agent Undercover Gaming: Hallucination Removal Through Counterfactual Test for Multimodal Reasoning AAAI 2026 Multi-Hall-SA: A Cross-lingual Benchmark for Multi-Type Hallucination Detection in Low-Resource South African Languages EACL 2026 Multilingual Self-Taught Faithfulness Evaluators EACL 2026 Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict AAAI 2026 PAS: Prelim Attention Score for Detecting Object Hallucinations in Large Vision-Language Models CVPR 2026 PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination AAAI 2026 POaaS: Minimal-Edit Prompt Optimization as a Service to Lift Accuracy and Cut Hallucinations on On-Device sLLMs EACL 2026 Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026