Summary of To Believe or Not to Believe Your Llm, by Yasin Abbasi Yadkori et al.
To Believe or Not to Believe Your LLMby Yasin Abbasi Yadkori, Ilja Kuzborskij, András György,…
Summary of Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-of-the-art Large Language Models, by Marianna Nezhurina et al.
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Modelsby Marianna…
Summary of Causal Prompting Model-based Offline Reinforcement Learning, by Xuehui Yu et al.
Causal prompting model-based offline reinforcement learningby Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen…
Summary of Evaluating Mathematical Reasoning Of Large Language Models: a Focus on Error Identification and Correction, by Xiaoyuan Li et al.
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correctionby Xiaoyuan…
Summary of Empirical Influence Functions to Understand the Logic Of Fine-tuning, by Jordan K. Matelsky et al.
Empirical influence functions to understand the logic of fine-tuningby Jordan K. Matelsky, Lyle Ungar, Konrad…
Summary of Toward Conversational Agents with Context and Time Sensitive Long-term Memory, by Nick Alonso et al.
Toward Conversational Agents with Context and Time Sensitive Long-term Memoryby Nick Alonso, Tomás Figliolia, Anthony…
Summary of Can Gpt Redefine Medical Understanding? Evaluating Gpt on Biomedical Machine Reading Comprehension, by Shubham Vatsal et al.
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehensionby Shubham Vatsal, Ayush…
Summary of Crafting Interpretable Embeddings by Asking Llms Questions, By Vinamra Benara et al.
Crafting Interpretable Embeddings by Asking LLMs Questionsby Vinamra Benara, Chandan Singh, John X. Morris, Richard…
Summary of Confidence Under the Hood: An Investigation Into the Confidence-probability Alignment in Large Language Models, by Abhishek Kumar et al.
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Modelsby Abhishek…
Summary of Chain-of-thought Prompting For Demographic Inference with Large Multimodal Models, by Yongsheng Yu et al.
Chain-of-Thought Prompting for Demographic Inference with Large Multimodal Modelsby Yongsheng Yu, Jiebo LuoFirst submitted to…