collabllm 0.0.5

(Oral @ ICML 2025) CollabLLM: From Passive Responders to Active Collaborators

CollabLLM: From Passive Responders to Active Collaborators (ICML 2025 Oral)

Paper

Installation

conda create -n collabllm python=3.10
pip install collabllm

You can further install additional packages for customized metric, such as bigcodebench.

Quick Start

notebook_tutorials/

scripts/

Citation

If you use this code in your research, please cite the following paper:

@inproceedings{
    collabllm,
    title={CollabLLM: From Passive Responders to Active Collaborators},
    author={Shirley Wu and Michel Galley and 
            Baolin Peng and Hao Cheng and 
            Gavin Li and Yao Dou and Weixin Cai and 
            James Zou and Jure Leskovec and Jianfeng Gao
            },
    booktitle={ICML},
    year={2025}
}