Summary of Fine-grained Self-endorsement Improves Factuality and Reasoning, by Ante Wang et al.
Fine-Grained Self-Endorsement Improves Factuality and Reasoningby Ante Wang, Linfeng Song, Baolin Peng, Ye Tian, Lifeng…
Fine-Grained Self-Endorsement Improves Factuality and Reasoningby Ante Wang, Linfeng Song, Baolin Peng, Ye Tian, Lifeng…
Empowering Large Language Model Agents through Action Learningby Haiteng Zhao, Chang Ma, Guoyin Wang, Jing…
An LLM Maturity Model for Reliable and Transparent Text-to-Queryby Lei Yu, Abir RayFirst submitted to…
LLMBind: A Unified Modality-Task Integration Frameworkby Bin Zhu, Munan Ning, Peng Jin, Bin Lin, Jinfa…
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answeringby Chang…
Large Language Models are Advanced Anonymizersby Robin Staab, Mark Vero, Mislav Balunović, Martin VechevFirst submitted…
Kuaiji: the First Chinese Accounting Large Language Modelby Jiayuan Luo, Songhua Yang, Xiaoling Qiu, Panyu…
PreAct: Prediction Enhances Agent’s Planning Abilityby Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie…
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large…
Can Large Language Models perform Relation-based Argument Mining?by Deniz Gorur, Antonio Rago, Francesca ToniFirst submitted…