Papers
ASOS at Arabic LLMs Hallucinations 2024: Can LLMs detect their Hallucinations :)
Serry Taiseer Sibaee, Abdullah I. Alharbi, Samar Ahmed et al.
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
Regev Cohen, Idan Kligvasser, Ehud Rivlin et al.
LLM-Check: Investigating Detection of Hallucinations in Large Language Models
Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan et al.
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
Jian Hu, Jiayi Lin, Junchi Yan et al.
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
Xinyu Lyu, Beitao Chen, Lianli Gao et al.
Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton et al.
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
Xinyan Guan, Yanjiang Liu, Hongyu Lin et al.
Detecting and Preventing Hallucinations in Large Vision Language Models
Anisha Gunjal, Jihan Yin, Erhan Bas
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
Xiaoying Zhang, Baolin Peng, Ye Tian et al.
ANAH: Analytical Annotation of Hallucinations in Large Language Models
Ziwei Ji, Yuzhe Gu, Wenwei Zhang et al.
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
Shaolei Zhang, Tian Yu, Yang Feng
Confabulation: The Surprising Value of Large Language Model Hallucinations
Peiqi Sui, Eamon Duede, Sophie Wu et al.
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation
Ge Qu, Jinyang Li, Bowen Li et al.
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
Avshalom Manevich, Reut Tsarfaty
Visual Hallucinations of Multi-modal Large Language Models
Wen Huang, Hongbin Liu, Minxin Guo et al.
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
Tian Yu, Shaolei Zhang, Yang Feng
Strong hallucinations from negation and how to fix them
Nicholas Asher, Swarnadeep Bhar
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
Xintong Wang, Jingheng Pan, Liang Ding et al.
Leveraging Graph Structures to Detect Hallucinations in Large Language Models
Noa Nonkes, Sergei Agaronian, Evangelos Kanoulas et al.
Halwasa: Quantify and Analyze Hallucinations in Large Language Models: Arabic as a Case Study
Hamdy Mubarak, Hend Al-Khalifa, Khaloud Suliman Alkhalefah
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
Sicong Leng, Hang Zhang, Guanzheng Chen et al.
Contrastive Decoding Reduces Hallucinations in Large Multilingual Machine Translation Models
Jonas Waldendorf, Barry Haddow, Alexandra Birch
Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding
Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi
LiDAR-Event Stereo Fusion with Hallucinations
Luca Bartolomei, Matteo Poggi, Andrea Conti et al.