5 citations · 5 across the 5 of their papers we have counts for
5 papers
Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition
Xiangyu Kong, Hengde Zhu, Haoqin Sun +6
Automatic real personality recognition (RPR) aims to evaluate human real personality traits from their expressive behaviours. However, most existing solutions generally act as exte…
Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation
Xinyi Ni, Haonan Jian, Qiuyang Wang +2
REST APIs play important roles in enriching the action space of web agents, yet most API-based agents rely on curated and uniform toolsets that do not reflect the complexity of rea…
Multiple Abstraction Level Retrieve Augment Generation
Zheng Zheng, Xinyi Ni, Pengyu Hong
A Retrieval-Augmented Generation (RAG) model powered by a large language model (LLM) provides a faster and more cost-effective solution for adapting to new data and knowledge. It a…
ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
Xinyi Ni, Qiuyang Wang, Yukun Zhang +1
LLM-based tool agents offer natural language interfaces, enabling users to seamlessly interact with computing services. While REST APIs are valuable resources for building such age…
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141
Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…