conftrace_

hallucination detection

530 papers

Explore in graph

Co-occurring keywords

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

Benchmarking Deflection and Hallucination in Large Vision-Language Models ACL 2026
RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection ACL 2026
HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models ACL 2026
MARCH: Multi-Agent Reinforced Check for Hallucination ACL 2026
Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals ACL 2026
Evolutionary Search for Automated Design of Uncertainty Quantification Methods ACL 2026
HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy ACL 2026
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026
A Knowledge Graph Based Diagnostic Framework for Analyzing Hallucinations in Arabic Machine Reading Comprehension EACL 2026
RiddleBench: A New Generative Reasoning Benchmark for LLMs EACL 2026
DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and Trustworthiness EACL 2026
Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026
SciHallu: A Multi-Granularity Hallucination Detection Dataset for Scientific Writing IJCNLP 2025
SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection ACL 2025
FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes ACL 2025
DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models SEMEVAL 2025
iai_MSU at SemEval-2025 Task-3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes in English SEMEVAL 2025
VADE: Visual Attention Guided Hallucination Detection and Elimination ACL 2025
HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection ACL 2025
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation ACL 2025
NLP_CIMAT at SemEval-2025 Task 3: Just Ask GPT or look Inside. A prompt and Neural Networks Approach to Hallucination Detection ACL 2025
LCTeam at SemEval-2025 Task 3: Multilingual Detection of Hallucinations and Overgeneration Mistakes Using XLM-RoBERTa ACL 2025
Luna: A Lightweight Evaluation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost COLING 2025
From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning ACL 2025
AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection ACL 2025