4 papers
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…
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
Nicole Meng, Caleb Manicke, David Chen +4
Adversarial examples represent a serious issue for the application of machine learning models in many sensitive domains. For generating adversarial examples, decision based black-b…