Summary of Re-ex: Revising After Explanation Reduces the Factual Errors in Llm Responses, by Juyeon Kim et al.
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responsesby Juyeon Kim, Jeongeun Lee,…
Summary of Lstprompt: Large Language Models As Zero-shot Time Series Forecasters by Long-short-term Prompting, By Haoxin Liu et al.
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Promptingby Haoxin Liu, Zhiyuan…
Summary of Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models, by Haoran Liao et al.
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Modelsby Haoran…
Summary of A Dual-prompting For Interpretable Mental Health Language Models, by Hyolim Jeon et al.
A Dual-Prompting for Interpretable Mental Health Language Modelsby Hyolim Jeon, Dongje Yoo, Daeun Lee, Sejung…
Summary of Chatel: Entity Linking with Chatbots, by Yifan Ding and Qingkai Zeng and Tim Weninger
ChatEL: Entity Linking with Chatbotsby Yifan Ding, Qingkai Zeng, Tim WeningerFirst submitted to arxiv on:…
Summary of Llm Based Multi-agent Generation Of Semi-structured Documents From Semantic Templates in the Public Administration Domain, by Emanuele Musumeci et al.
LLM Based Multi-Agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domainby…
Summary of Identifying Multiple Personalities in Large Language Models with External Evaluation, by Xiaoyang Song et al.
Identifying Multiple Personalities in Large Language Models with External Evaluationby Xiaoyang Song, Yuta Adachi, Jessie…
Summary of Unsupervised Text Style Transfer Via Llms and Attention Masking with Multi-way Interactions, by Lei Pan et al.
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactionsby Lei Pan, Yunshi…
Summary of Unlocking Instructive In-context Learning with Tabular Prompting For Relational Triple Extraction, by Guozheng Li et al.
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extractionby Guozheng Li, Wenjun Ke,…
Summary of Large Language Models Are Vulnerable to Bait-and-switch Attacks For Generating Harmful Content, by Federico Bianchi et al.
Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful Contentby Federico Bianchi, James…