Summary of A Dataset For Evaluating Llm-based Evaluation Functions For Research Question Extraction Task, by Yuya Fujisaki et al.
A Dataset for Evaluating LLM-based Evaluation Functions for Research Question Extraction Taskby Yuya Fujisaki, Shiro…
Summary of Can Large Language Models Unlock Novel Scientific Research Ideas?, by Sandeep Kumar et al.
Can Large Language Models Unlock Novel Scientific Research Ideas?by Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal,…
Summary of Fairhome: a Fair Housing and Fair Lending Dataset, by Anusha Bagalkotkar (1) et al.
FairHome: A Fair Housing and Fair Lending Datasetby Anusha Bagalkotkar, Aveek Karmakar, Gabriel Arnson, Ondrej…
Summary of Leveraging Large Language Models For Solving Rare Mip Challenges, by Teng Wang et al.
Leveraging Large Language Models for Solving Rare MIP Challengesby Teng Wang, Wing-Yin Yu, Ruifeng She,…
Summary of Evaluating Open-source Sparse Autoencoders on Disentangling Factual Knowledge in Gpt-2 Small, by Maheep Chaudhary and Atticus Geiger
Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Smallby Maheep Chaudhary, Atticus GeigerFirst…
Summary of Xlam: a Family Of Large Action Models to Empower Ai Agent Systems, by Jianguo Zhang et al.
xLAM: A Family of Large Action Models to Empower AI Agent Systemsby Jianguo Zhang, Tian…
Summary of Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-shot Learning with Large Language Models, By Moein Shahiki Tash et al.
Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language…
Summary of Cortexcompile: Harnessing Cortical-inspired Architectures For Enhanced Multi-agent Nlp Code Synthesis, by Gautham Ramachandran et al.
CortexCompile: Harnessing Cortical-Inspired Architectures for Enhanced Multi-Agent NLP Code Synthesisby Gautham Ramachandran, Rick YangFirst submitted…
Summary of Large Language Models As Efficient Reward Function Searchers For Custom-environment Multi-objective Reinforcement Learning, by Guanwen Xie et al.
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learningby Guanwen Xie,…
Summary of Toolace: Winning the Points Of Llm Function Calling, by Weiwen Liu et al.
ToolACE: Winning the Points of LLM Function Callingby Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong…