| Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv.2307.09288, 2023 | 12424 | 2023 |
| The Llama 3 Herd of Models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2312 | 2024 |
| Lima: Less is more for alignment C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ... NeurIPS 2023, 2023 | 915 | 2023 |
| Llama guard: Llm-based input-output safeguard for human-ai conversations H Inan, K Upasani, J Chi, R Rungta, K Iyer, Y Mao, M Tontchev, Q Hu, ... arXiv preprint arXiv:2312.06674, 2023 | 308 | 2023 |
| Generation-augmented retrieval for open-domain question answering Y Mao, P He, X Liu, Y Shen, J Gao, J Han, W Chen ACL 2021, 2021 | 249 | 2021 |
| Towards a Unified Multi-Dimensional Evaluator for Text Generation M Zhong, Y Liu, D Yin, Y Mao, Y Jiao, P Liu, C Zhu, H Ji, J Han EMNLP 2022, 2022 | 219 | 2022 |
| Unipelt: A unified framework for parameter-efficient language model tuning Y Mao, L Mathias, R Hou, A Almahairi, H Ma, J Han, W Yih, M Khabsa ACL 2022, 2022 | 183 | 2022 |
| Hierarchical Text Classification with Reinforced Label Assignment Y Mao, J Tian, J Han, X Ren EMNLP 2019, 2019 | 138 | 2019 |
| Progressive Prompts: Continual Learning for Language Models A Razdaibiedina, Y Mao, R Hou, M Khabsa, M Lewis, A Almahairi ICLR 2023, 2023 | 135 | 2023 |
| AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ... KDD 2020, 2020 | 94 | 2020 |
| Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion Y Xie, J Shen, S Li, Y Mao, J Han Findings of ACL 2022, 2022 | 82* | 2022 |
| Generating Representative Headlines for News Stories X Gu, Y Mao, J Han, J Liu, Y Wu, C Yu, D Finnie, H Yu, J Zhai, N Zukoski WWW 2020, 2020 | 80 | 2020 |
| Mart: Improving llm safety with multi-round automatic red-teaming S Ge, C Zhou, R Hou, M Khabsa, YC Wang, Q Wang, J Han, Y Mao NAACL 2024, 2023 | 68 | 2023 |
| Xlm-v: Overcoming the vocabulary bottleneck in multilingual masked language models D Liang, H Gonen, Y Mao, R Hou, N Goyal, M Ghazvininejad, ... EMNLP 2023, 2023 | 68 | 2023 |
| SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction Y Xiao, Z Zhang, Y Mao, C Yang, J Han NAACL 2022, 2022 | 62 | 2022 |
| End-to-end reinforcement learning for automatic taxonomy induction Y Mao, X Ren, J Shen, X Gu, J Han ACL 2018, 2018 | 61 | 2018 |
| Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning D Lei, G Jiang, X Gu, K Sun, Y Mao, X Ren EMNLP 2020, 2020 | 59 | 2020 |
| Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning Y Mao, Y Qu, Y Xie, X Ren, J Han EMNLP 2020, 2020 | 54 | 2020 |
| Octet: Online Catalog Taxonomy Enrichment with Self-Supervision Y Mao, T Zhao, A Kan, C Zhang, XL Dong, C Faloutsos, J Han KDD 2020, 2020 | 49 | 2020 |
| Rainbow teaming: Open-ended generation of diverse adversarial prompts M Samvelyan, SC Raparthy, A Lupu, E Hambro, AH Markosyan, M Bhatt, ... NeurIPS 2024, 2024 | 45* | 2024 |
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisAdresse e-mail validée de cs.uiuc.edu