"hallucination detection" Papers

15 papers found

Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection

Chenyu Zhu, Yefeng Liu, Hao Zhang et al.

NEURIPS 2025

ARGUS: Hallucination and Omission Evaluation in Video-LLMs

Ruchit Rawal, Reza Shirkavand, Heng Huang et al.

ICCV 2025arXiv:2506.07371
4
citations

Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT

Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron et al.

NEURIPS 2025arXiv:2510.00296
1
citations

BRACE: A Benchmark for Robust Audio Caption Quality Evaluation

Tianyu Guo, Hongyu Chen, Hao Liang et al.

NEURIPS 2025arXiv:2512.10403
3
citations

CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding

Guo Chen, Yicheng Liu, Yifei Huang et al.

ICLR 2025arXiv:2412.12075
43
citations

Cutting the Root of Hallucination: Structural Trimming for Vulnerability Mitigation in Code LLMs

Yage Zhang

COLM 2025paper

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

Kedi Chen, Qin Chen, Jie Zhou et al.

AAAI 2025paperarXiv:2501.02020
7
citations

HaDeMiF: Hallucination Detection and Mitigation in Large Language Models

Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al.

ICLR 2025
9
citations

HalLoc: Token-level Localization of Hallucinations for Vision Language Models

Eunkyu Park, Minyeong Kim, Gunhee Kim

CVPR 2025arXiv:2506.10286
3
citations

Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators

Dingkang Yang, Dongling Xiao, Jinjie Wei et al.

AAAI 2025paperarXiv:2408.12325
15
citations

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Hadas Orgad, Michael Toker, Zorik Gekhman et al.

ICLR 2025arXiv:2410.02707
129
citations

Robust Hallucination Detection in LLMs via Adaptive Token Selection

Mengjia Niu, Hamed Haddadi, Guansong Pang

NEURIPS 2025arXiv:2504.07863
8
citations

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling

Xinyue Fang, Zhen Huang, Zhiliang Tian et al.

AAAI 2025paperarXiv:2409.11283
6
citations

Detecting and Preventing Hallucinations in Large Vision Language Models

Anisha Gunjal, Jihan Yin, Erhan Bas

AAAI 2024paperarXiv:2308.06394
264
citations

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs

Daniel D. Johnson, Daniel Tarlow, David Duvenaud et al.

ICML 2024arXiv:2402.08733
16
citations