Summary of Claim Verification in the Age Of Large Language Models: a Survey, by Alphaeus Dmonte et al.
Claim Verification in the Age of Large Language Models: A Surveyby Alphaeus Dmonte, Roland Oruche,…
Summary of Enhancing Few-shot Transfer Learning with Optimized Multi-task Prompt Tuning Through Modular Prompt Composition, by Ahmad Pouramini et al.
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Compositionby Ahmad Pouramini,…
Summary of Gendercare: a Comprehensive Framework For Assessing and Reducing Gender Bias in Large Language Models, by Kunsheng Tang et al.
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Modelsby Kunsheng…
Summary of Investigating Llm Applications in E-commerce, by Chester Palen-michel et al.
Investigating LLM Applications in E-Commerceby Chester Palen-Michel, Ruixiang Wang, Yipeng Zhang, David Yu, Canran Xu,…
Summary of Sam-sp: Self-prompting Makes Sam Great Again, by Chunpeng Zhou et al.
SAM-SP: Self-Prompting Makes SAM Great Againby Chunpeng Zhou, Kangjie Ning, Qianqian Shen, Sheng Zhou, Zhi…
Summary of Enhanced Fine-tuning Of Lightweight Domain-specific Q&a Model Based on Large Language Models, by Shenglin Zhang et al.
Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Modelsby Shenglin Zhang, Pengtian…
Summary of Identifying and Mitigating Social Bias Knowledge in Language Models, by Ruizhe Chen et al.
Identifying and Mitigating Social Bias Knowledge in Language Modelsby Ruizhe Chen, Yichen Li, Jianfei Yang,…
Summary of Xinyu: An Efficient Llm-based System For Commentary Generation, by Yiquan Wu et al.
Xinyu: An Efficient LLM-based System for Commentary Generationby Yiquan Wu, Bo Tang, Chenyang Xi, Yu…
Summary of Clinical Insights: a Comprehensive Review Of Language Models in Medicine, by Nikita Neveditsin et al.
Clinical Insights: A Comprehensive Review of Language Models in Medicineby Nikita Neveditsin, Pawan Lingras, Vijay…
Summary of Minor Sft Loss For Llm Fine-tune to Increase Performance and Reduce Model Deviation, by Shiming Xie et al.
Minor SFT loss for LLM fine-tune to increase performance and reduce model deviationby Shiming Xie,…