You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

Research.md 4.7 kB

2 years ago
2 years ago
2 years ago
2 years ago
2 years ago
2 years ago
2 years ago
2 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101
  1. # Research
  2. For technical details, please check our technical report and research publications.
  3. * [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.
  4. ```bibtex
  5. @inproceedings{wu2023autogen,
  6. title={AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework},
  7. 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},
  8. year={2023},
  9. eprint={2308.08155},
  10. archivePrefix={arXiv},
  11. primaryClass={cs.AI}
  12. }
  13. ```
  14. * [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.
  15. ```bibtex
  16. @inproceedings{wang2023EcoOptiGen,
  17. title={Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference},
  18. author={Chi Wang and Susan Xueqing Liu and Ahmed H. Awadallah},
  19. year={2023},
  20. booktitle={AutoML'23},
  21. }
  22. ```
  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).
  24. ```bibtex
  25. @inproceedings{wu2023empirical,
  26. title={An Empirical Study on Challenging Math Problem Solving with GPT-4},
  27. 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},
  28. year={2023},
  29. booktitle={ArXiv preprint arXiv:2306.01337},
  30. }
  31. ```
  32. * [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).
  33. ```bibtex
  34. @inproceedings{zhang2023ecoassistant,
  35. title={EcoAssistant: Using LLM Assistant More Affordably and Accurately},
  36. author={Zhang, Jieyu and Krishna, Ranjay and Awadallah, Ahmed H and Wang, Chi},
  37. year={2023},
  38. booktitle={ArXiv preprint arXiv:2310.03046},
  39. }
  40. ```
  41. * [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).
  42. ```bibtex
  43. @misc{Kiseleva2024agenteval,
  44. title={Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications},
  45. author={Negar Arabzadeh and Julia Kiseleva and Qingyun Wu and Chi Wang and Ahmed Awadallah and Victor Dibia and Adam Fourney and Charles Clarke},
  46. year={2024},
  47. eprint={2402.09015},
  48. archivePrefix={arXiv},
  49. primaryClass={cs.CL}
  50. }
  51. ```
  52. * [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).
  53. ```bibtex
  54. @misc{zhang2024agentoptimizer,
  55. title={Training Language Model Agents without Modifying Language Models},
  56. author={Shaokun Zhang and Jieyu Zhang and Jiale Liu and Linxin Song and Chi Wang and Ranjay Krishna and Qingyun Wu},
  57. year={2024},
  58. eprint={2402.11359},
  59. archivePrefix={arXiv},
  60. primaryClass={cs.AI}
  61. }
  62. ```
  63. * [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).
  64. ```bibtex
  65. @misc{zeng2024autodefense,
  66. title={AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks},
  67. author={Yifan Zeng and Yiran Wu and Xiao Zhang and Huazheng Wang and Qingyun Wu},
  68. year={2024},
  69. eprint={2403.04783},
  70. archivePrefix={arXiv},
  71. primaryClass={cs.LG}
  72. }
  73. ```
  74. * [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).
  75. ```bibtex
  76. @misc{wu2024stateflow,
  77. title={StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows},
  78. author={Yiran Wu and Tianwei Yue and Shaokun Zhang and Chi Wang and Qingyun Wu},
  79. year={2024},
  80. eprint={2403.11322},
  81. archivePrefix={arXiv},
  82. primaryClass={cs.CL}
  83. }
  84. ```