Research

For technical details, please check our technical report and research publications.

• AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems

@inproceedings{dibia2024studio,
      title={AutoGen Studio: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems},
      author={Victor Dibia and Jingya Chen and Gagan Bansal and Suff Syed and Adam Fourney and Erkang (Eric) Zhu and Chi Wang and Saleema Amershi},
      year={2024},
      booktitle={Pre-Print}
}

• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework.

@inproceedings{wu2024autogen,
      title={AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework},
      author={Qingyun Wu and Gagan Bansal and Jieyu Zhang and Yiran Wu and Beibin Li and Erkang Zhu and Li Jiang and Xiaoyun Zhang and Shaokun Zhang and Jiale Liu and Ahmed Hassan Awadallah and Ryen W White and Doug Burger and Chi Wang},
      year={2024},
      booktitle={COLM}
}

• Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference. Chi Wang, Susan Xueqing Liu, Ahmed H. Awadallah. AutoML'23.

@inproceedings{wang2023EcoOptiGen,
    title={Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference},
    author={Chi Wang and Susan Xueqing Liu and Ahmed H. Awadallah},
    year={2023},
    booktitle={AutoML'23},
}

• An Empirical Study on Challenging Math Problem Solving with GPT-4. Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang. ArXiv preprint arXiv:2306.01337 (2023).

@inproceedings{wu2023empirical,
    title={An Empirical Study on Challenging Math Problem Solving with GPT-4},
    author={Yiran Wu and Feiran Jia and Shaokun Zhang and Hangyu Li and Erkang Zhu and Yue Wang and Yin Tat Lee and Richard Peng and Qingyun Wu and Chi Wang},
    year={2023},
    booktitle={ArXiv preprint arXiv:2306.01337},
}

• EcoAssistant: Using LLM Assistant More Affordably and Accurately. Jieyu Zhang, Ranjay Krishna, Ahmed H. Awadallah, Chi Wang. ArXiv preprint arXiv:2310.03046 (2023).

@inproceedings{zhang2023ecoassistant,
    title={EcoAssistant: Using LLM Assistant More Affordably and Accurately},
    author={Zhang, Jieyu and Krishna, Ranjay and Awadallah, Ahmed H and Wang, Chi},
    year={2023},
    booktitle={ArXiv preprint arXiv:2310.03046},
}

• Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications. Negar Arabzadeh, Julia Kiseleva, Qingyun Wu, Chi Wang, Ahmed Awadallah, Victor Dibia, Adam Fourney, Charles Clarke. ArXiv preprint arXiv:2402.09015 (2024).

@misc{Kiseleva2024agenteval,
      title={Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications},
      author={Negar Arabzadeh and Julia Kiseleva and Qingyun Wu and Chi Wang and Ahmed Awadallah and Victor Dibia and Adam Fourney and Charles Clarke},
      year={2024},
      eprint={2402.09015},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

• Training Language Model Agents without Modifying Language Models. Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu. ICML'24.

@misc{zhang2024agentoptimizer,
      title={Training Language Model Agents without Modifying Language Models},
      author={Shaokun Zhang and Jieyu Zhang and Jiale Liu and Linxin Song and Chi Wang and Ranjay Krishna and Qingyun Wu},
      year={2024},
      booktitle={ICML'24},
}

• AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu. ArXiv preprint arXiv:2403.04783 (2024).

@misc{zeng2024autodefense,
      title={AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks},
      author={Yifan Zeng and Yiran Wu and Xiao Zhang and Huazheng Wang and Qingyun Wu},
      year={2024},
      eprint={2403.04783},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

• StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu. ArXiv preprint arXiv:2403.11322 (2024).

@misc{wu2024stateflow,
        title={StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows},
        author={Yiran Wu and Tianwei Yue and Shaokun Zhang and Chi Wang and Qingyun Wu},
        year={2024},
        eprint={2403.11322},
        archivePrefix={arXiv},
        primaryClass={cs.CL}
}