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,…
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimizationby Wenqi Zhang, Ke Tang, Hai Wu,…
Generative Retrieval with Large Language Modelsby Ye Wang, Xinrun Xu, Rui Xie, Wenxin Hu, Wei…
Understanding the Dataset Practitioners Behind Large Language Model Developmentby Crystal Qian, Emily Reif, Minsuk KahngFirst…
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generationby Qinyu Luo, Yining Ye, Shihao…
Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Spaceby Gaurav Verma,…
GROUNDHOG: Grounding Large Language Models to Holistic Segmentationby Yichi Zhang, Ziqiao Ma, Xiaofeng Gao, Suhaila…
LLM Inference Unveiled: Survey and Roofline Model Insightsby Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen…
Empowering Large Language Model Agents through Action Learningby Haiteng Zhao, Chang Ma, Guoyin Wang, Jing…
Citation-Enhanced Generation for LLM-based Chatbotsby Weitao Li, Junkai Li, Weizhi Ma, Yang LiuFirst submitted to…