Summary of Wise: Rethinking the Knowledge Memory For Lifelong Model Editing Of Large Language Models, by Peng Wang et al.
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Modelsby Peng Wang,…
Summary of Calibrated Self-rewarding Vision Language Models, by Yiyang Zhou et al.
Calibrated Self-Rewarding Vision Language Modelsby Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen,…
Summary of A Comprehensive Survey Of Hallucination in Large Language, Image, Video and Audio Foundation Models, by Pranab Sahoo et al.
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Modelsby Pranab…
Summary of Mitigating Hallucinations in Large Language Models Via Self-refinement-enhanced Knowledge Retrieval, by Mengjia Niu et al.
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrievalby Mengjia Niu, Hao Li, Jie…
Summary of Throne: An Object-based Hallucination Benchmark For the Free-form Generations Of Large Vision-language Models, by Prannay Kaul et al.
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Modelsby Prannay Kaul,…
Summary of Sora Detector: a Unified Hallucination Detection For Large Text-to-video Models, by Zhixuan Chu et al.
Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Modelsby Zhixuan Chu, Lei Zhang, Yichen…
Summary of Quantifying the Capabilities Of Llms Across Scale and Precision, by Sher Badshah and Hassan Sajjad
Quantifying the Capabilities of LLMs across Scale and Precisionby Sher Badshah, Hassan SajjadFirst submitted to…
Summary of Mitigating Llm Hallucinations Via Conformal Abstention, by Yasin Abbasi Yadkori et al.
Mitigating LLM Hallucinations via Conformal Abstentionby Yasin Abbasi Yadkori, Ilja Kuzborskij, David Stutz, András György,…
Summary of Harmonic Llms Are Trustworthy, by Nicholas S. Kersting et al.
Harmonic LLMs are Trustworthyby Nicholas S. Kersting, Mohammad Rahman, Suchismitha Vedala, Yang WangFirst submitted to…
Summary of Serpent-vlm : Self-refining Radiology Report Generation Using Vision Language Models, by Manav Nitin Kapadnis et al.
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Modelsby Manav Nitin Kapadnis, Sohan Patnaik,…