Hi, I'm Haotian Sun.

Ph.D. Student in ML at Georgia Tech

I'm a Machine Learning (ML) Ph.D. student co-advised by Dr. Bo Dai and Dr. Chao Zhang.

My research interest lies in reinforcement learning and foundation models for decision making. My primary objective is in creating generalist agents that are scalable and practical for real-world applications.

I am fortunate to collaborate with researchers, developers, and scientists while working at

Georgia Tech,

CentraleSupélec, and

Xi'an Jiaotong University.

Featured Research

BBox-Adapter

Lightweight Adapting for Black-Box Large Language Models

arXiv

AdaPlanner: Adaptive Planning from Feedback with Language Models

An LLM agent for solving embodied tasks via closed-loop planning

Accepted at NeurIPS 2023

ToolQA: A Dataset for LLM Question Answering with External Tools

A dataset faithfully evaluating LLMs' ability to use external tools for question answering

Accepted at NeurIPS 2023 (Datasets and Benchmarks Track)

Featured Publications

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai

arXiv

Black-box LLMs, Adaptation, Plug-and-play

AdaPlanner: Adaptive Planning from Feedback with Language Models

Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

Accepted at NeurIPS 2023

Closed-loop adaptive planning, LLM agent, Code interface, Skill discovery

ToolQA: A Dataset for LLM Question Answering with External Tools

Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang

Accepted at NeurIPS 2023 (Datasets and Benchmarks Track)

LLM evaluation, Dataset curation, Tool use

Autoregressive Diffusion Model for Graph Generation

Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B Aditya Prakash, Chao Zhang

Accepted at ICML 2023

Graph generation, Diffusion model, Autoregressive generative model

Misc.

All Projects

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Life at a Glance