Summary of Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models, by Yitian Li et al.
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Modelsby Yitian Li, Jidong Tian, Hao…
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Modelsby Yitian Li, Jidong Tian, Hao…
Can large language models understand uncommon meanings of common words?by Jinyang Wu, Feihu Che, Xinxin…
Chain of Thoughtlessness? An Analysis of CoT in Planningby Kaya Stechly, Karthik Valmeekam, Subbarao KambhampatiFirst…
Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligenceby Silvan Ferreira,…
Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark…
Controllable Text Generation in the Instruction-Tuning Eraby Dhananjay Ashok, Barnabas PoczosFirst submitted to arxiv on:…
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended…
Reinforcement Learning Problem Solving with Large Language Modelsby Sina Gholamian, Domingo HuhFirst submitted to arxiv…
PECC: Problem Extraction and Coding Challengesby Patrick Haller, Jonas Golde, Alan AkbikFirst submitted to arxiv…
Advancing Healthcare Automation: Multi-Agent System for Medical Necessity Justificationby Himanshu Pandey, Akhil Amod, ShivangFirst submitted…