Summary of A Survey Of Hallucination in Large Visual Language Models, by Wei Lan et al.
A Survey of Hallucination in Large Visual Language Modelsby Wei Lan, Wenyi Chen, Qingfeng Chen,…
Summary of Hallucination Detox: Sensitivity Dropout (send) For Large Language Model Training, by Shahrad Mohammadzadeh et al.
Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Trainingby Shahrad Mohammadzadeh, Juan David Guerra,…
Summary of Coarse-to-fine Highlighting: Reducing Knowledge Hallucination in Large Language Models, by Qitan Lv et al.
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Modelsby Qitan Lv, Jie Wang, Hanzhu Chen,…
Summary of Enabling Scalable Evaluation Of Bias Patterns in Medical Llms, by Hamed Fayyaz et al.
Enabling Scalable Evaluation of Bias Patterns in Medical LLMsby Hamed Fayyaz, Raphael Poulain, Rahmatollah BeheshtiFirst…
Summary of Mitigating Hallucinations in Large Vision-language Models Via Summary-guided Decoding, by Kyungmin Min et al.
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decodingby Kyungmin Min, Minbeom Kim, Kang-il Lee,…
Summary of Mcqg-srefine: Multiple Choice Question Generation and Evaluation with Iterative Self-critique, Correction, and Comparison Feedback, by Zonghai Yao et al.
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedbackby Zonghai…
Summary of Faithbench: a Diverse Hallucination Benchmark For Summarization by Modern Llms, By Forrest Sheng Bao et al.
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMsby Forrest Sheng Bao, Miaoran Li,…
Summary of A Claim Decomposition Benchmark For Long-form Answer Verification, by Zhihao Zhang and Yixing Fan and Ruqing Zhang and Jiafeng Guo
A Claim Decomposition Benchmark for Long-form Answer Verificationby Zhihao Zhang, Yixing Fan, Ruqing Zhang, Jiafeng…
Summary of On a Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation, by Xiaonan Jing et al.
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluationby Xiaonan Jing, Srinivas…
Summary of Controlled Automatic Task-specific Synthetic Data Generation For Hallucination Detection, by Yong Xie et al.
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detectionby Yong Xie, Karan Aggarwal, Aitzaz Ahmad,…