Openagi: When llm meets domain experts Y Ge, W Hua, K Mei, J Ji, J Tan, S Xu, Z Li, Y Zhang Advances in Neural Information Processing Systems (Dataset and Benchmark Track), 2023 | 80 | 2023 |
Rethinking the Reverse-engineering of Trojan Triggers Z Wang, K Mei, H Ding, J Zhai, S Ma Advances in Neural Information Processing Systems, 2022 | 28 | 2022 |
War and peace (waragent): Large language model-based multi-agent simulation of world wars W Hua, L Fan, L Li, K Mei, J Ji, Y Ge, L Hemphill, Y Zhang arXiv preprint arXiv:2311.17227, 2023 | 27 | 2023 |
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models K Mei, Z Li, Z Wang, Y Zhang, S Ma Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 22 | 2023 |
UNICORN: A Unified Backdoor Trigger Inversion Framework Z Wang, K Mei, J Zhai, S Ma The Eleventh International Conference on Learning Representations, 2023 | 18 | 2023 |
Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding S Yu, C Fang, K Mei, Y Yun, Z Cao, Z Cao, Z Chen IEEE Transactions on Software Engineering, 2021 | 10* | 2021 |
LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation K Mei, Y Zhang arXiv preprint arXiv:2310.17488, 2023 | 7 | 2023 |
AIOS: LLM Agent Operating System K Mei, Z Li, S Xu, R Ye, Y Ge, Y Zhang arXiv preprint arXiv:2403.16971, 2024 | 2 | 2024 |
CoRE: LLM as Interpreter for Natural Language Programming, Pseudo-Code Programming, and Flow Programming of AI Agents S Xu, Z Li, K Mei, Y Zhang arXiv preprint arXiv:2405.06907, 2024 | | 2024 |
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? M Jin, Q Yu, J Huang, Q Zeng, Z Wang, W Hua, H Zhao, K Mei, Y Meng, ... arXiv preprint arXiv:2404.07066, 2024 | | 2024 |