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- # Research
-
- For technical details, please check our technical report and research publications.
-
- * [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework](https://arxiv.org/abs/2308.08155). Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang and Chi Wang. ArXiv 2023.
-
- ```bibtex
- @inproceedings{wu2023autogen,
- 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 Shaokun Zhang and Erkang Zhu and Beibin Li and Li Jiang and Xiaoyun Zhang and Chi Wang},
- year={2023},
- eprint={2308.08155},
- archivePrefix={arXiv},
- primaryClass={cs.AI}
- }
- ```
-
- * [Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference](https://arxiv.org/abs/2303.04673). Chi Wang, Susan Xueqing Liu, Ahmed H. Awadallah. AutoML'23.
-
- ```bibtex
- @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](https://arxiv.org/abs/2306.01337). 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).
-
- ```bibtex
- @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](https://arxiv.org/abs/2310.03046). Jieyu Zhang, Ranjay Krishna, Ahmed H. Awadallah, Chi Wang. ArXiv preprint arXiv:2310.03046 (2023).
-
- ```bibtex
- @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](https://arxiv.org/abs/2402.09015). Negar Arabzadeh, Julia Kiseleva, Qingyun Wu, Chi Wang, Ahmed Awadallah, Victor Dibia, Adam Fourney, Charles Clarke. ArXiv preprint arXiv:2402.09015 (2024).
-
- ```bibtex
- @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](https://arxiv.org/abs/2402.11359). Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu. ArXiv preprint arXiv:2402.09015 (2024).
-
- ```bibtex
- @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},
- eprint={2402.11359},
- archivePrefix={arXiv},
- primaryClass={cs.AI}
- }
- ```
-
- * [AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks](https://arxiv.org/abs/2403.04783). Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu. ArXiv preprint arXiv:2403.04783 (2024).
-
- ```bibtex
- @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](https://arxiv.org/abs/2403.11322). Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu. ArXiv preprint arXiv:2403.11322 (2024).
-
- ```bibtex
- @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}
- }
- ```
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