Summary of An Evaluation Of Estimative Uncertainty in Large Language Models, by Zhisheng Tang et al.
An Evaluation of Estimative Uncertainty in Large Language Modelsby Zhisheng Tang, Ke Shen, Mayank KejriwalFirst…
Summary of Searchlvlms: a Plug-and-play Framework For Augmenting Large Vision-language Models by Searching Up-to-date Internet Knowledge, By Chuanhao Li et al.
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledgeby Chuanhao…
Summary of Efficient Medical Question Answering with Knowledge-augmented Question Generation, by Julien Khlaut et al.
Efficient Medical Question Answering with Knowledge-Augmented Question Generationby Julien Khlaut, Corentin Dancette, Elodie Ferreres, Alaedine…
Summary of Deepseek-prover: Advancing Theorem Proving in Llms Through Large-scale Synthetic Data, by Huajian Xin et al.
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Databy Huajian Xin, Daya Guo, Zhihong…
Summary of Jiuzhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models, By Kun Zhou et al.
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Modelsby Kun Zhou, Beichen Zhang,…
Summary of Perception Of Knowledge Boundary For Large Language Models Through Semi-open-ended Question Answering, by Zhihua Wen et al.
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answeringby Zhihua Wen, Zhiliang…
Summary of Exploring the Use Of a Large Language Model For Data Extraction in Systematic Reviews: a Rapid Feasibility Study, by Lena Schmidt et al.
Exploring the use of a Large Language Model for data extraction in systematic reviews: a…
Summary of Evaluating Large Language Models with Human Feedback: Establishing a Swedish Benchmark, by Birger Moell
Evaluating Large Language Models with Human Feedback: Establishing a Swedish Benchmarkby Birger MoellFirst submitted to…
Summary of Learning to Transform Dynamically For Better Adversarial Transferability, by Rongyi Zhu et al.
Learning to Transform Dynamically for Better Adversarial Transferabilityby Rongyi Zhu, Zeliang Zhang, Susan Liang, Zhuo…
Summary of Safety Alignment For Vision Language Models, by Zhendong Liu et al.
Safety Alignment for Vision Language Modelsby Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi…