Summary of Rethinking the Bounds Of Llm Reasoning: Are Multi-agent Discussions the Key?, by Qineng Wang et al.
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?by Qineng Wang, Zihao Wang,…
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?by Qineng Wang, Zihao Wang,…
One-stage Prompt-based Continual Learningby Youngeun Kim, Yuhang Li, Priyadarshini PandaFirst submitted to arxiv on: 25…
Defending LLMs against Jailbreaking Attacks via Backtranslationby Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui HsiehFirst…
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractorsby Shengkun Ma, Jiale Han, Yi Liang,…
LLM Based Multi-Agent Generation of Semi-structured Documents from Semantic Templates in the Public Administration Domainby…
Driving Generative Agents With Their Personalityby Lawrence J. Klinkert, Stephanie Buongiorno, Corey ClarkFirst submitted to…
Can Large Language Models Detect Misinformation in Scientific News Reporting?by Yupeng Cao, Aishwarya Muralidharan Nair,…
Round Trip Translation Defence against Large Language Model Jailbreaking Attacksby Canaan Yung, Hadi Mohaghegh Dolatabadi,…
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Modelsby Loka Li, Zhenhao Chen, Guangyi…
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like…