Summary of Texthawk: Exploring Efficient Fine-grained Perception Of Multimodal Large Language Models, by Ya-qi Yu et al.
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Modelsby Ya-Qi Yu, Minghui Liao, Jihao…
Summary of Learn From Failure: Fine-tuning Llms with Trial-and-error Data For Intuitionistic Propositional Logic Proving, by Chenyang An et al.
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Provingby Chenyang An,…
Summary of Jetmoe: Reaching Llama2 Performance with 0.1m Dollars, by Yikang Shen et al.
JetMoE: Reaching Llama2 Performance with 0.1M Dollarsby Yikang Shen, Zhen Guo, Tianle Cai, Zengyi QinFirst…
Summary of Wese: Weak Exploration to Strong Exploitation For Llm Agents, by Xu Huang et al.
WESE: Weak Exploration to Strong Exploitation for LLM Agentsby Xu Huang, Weiwen Liu, Xiaolong Chen,…
Summary of From Words to Numbers: Your Large Language Model Is Secretly a Capable Regressor When Given In-context Examples, by Robert Vacareanu et al.
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given…
Summary of Dynamic Generation Of Personalities with Large Language Models, by Jianzhi Liu et al.
Dynamic Generation of Personalities with Large Language Modelsby Jianzhi Liu, Hexiang Gu, Tianyu Zheng, Liuyu…
Summary of Webcode2m: a Real-world Dataset For Code Generation From Webpage Designs, by Yi Gui et al.
WebCode2M: A Real-World Dataset for Code Generation from Webpage Designsby Yi Gui, Zhen Li, Yao…
Summary of Enhancing Decision Analysis with a Large Language Model: Pydecision a Comprehensive Library Of Mcda Methods in Python, by Valdecy Pereira et al.
Enhancing Decision Analysis with a Large Language Model: pyDecision a Comprehensive Library of MCDA Methods…
Summary of Wilbur: Adaptive In-context Learning For Robust and Accurate Web Agents, by Michael Lutz et al.
WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agentsby Michael Lutz, Arth Bohra, Manvel…
Summary of Autonomous Artificial Intelligence Agents For Clinical Decision Making in Oncology, by Dyke Ferber et al.
Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncologyby Dyke Ferber, Omar S. M.…