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,…
Leveraging Large Language Models for Solving Rare MIP Challengesby Teng Wang, Wing-Yin Yu, Ruifeng She,…
Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Smallby Maheep Chaudhary, Atticus GeigerFirst…
xLAM: A Family of Large Action Models to Empower AI Agent Systemsby Jianguo Zhang, Tian…
CortexCompile: Harnessing Cortical-Inspired Architectures for Enhanced Multi-Agent NLP Code Synthesisby Gautham Ramachandran, Rick YangFirst submitted…
Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language…
Large Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Learningby Guanwen Xie,…
ToolACE: Winning the Points of LLM Function Callingby Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong…
TinyAgent: Function Calling at the Edgeby Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim,…
Towards Faster Graph Partitioning via Pre-training and Inductive Inferenceby Meng Qin, Chaorui Zhang, Yu Gao,…
Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphsby Mazal…