| AlpaGasus: Training a Better Alpaca with Fewer Data L Chen, S Li, J Yan, H Wang, K Gunaratna, V Yadav, Z Tang, V Srinivasan, ... ICLR 2024, 2023 | 76 | 2023 |
| Hallusionbench: You see what you think? or you think what you see? an image-context reasoning benchmark challenging for gpt-4v (ision), llava-1.5, and other multi-modality models F Liu, T Guan, Z Li, L Chen, Y Yacoob, D Manocha, T Zhou CVPR 2024, 2023 | 71* | 2023 |
| From quantity to quality: Boosting llm performance with self-guided data selection for instruction tuning M Li, Y Zhang, Z Li, J Chen, L Chen, N Cheng, J Wang, T Zhou, J Xiao NAACL 2024, 2023 | 33 | 2023 |
| Instructzero: Efficient instruction optimization for black-box large language models L Chen, J Chen, T Goldstein, H Huang, T Zhou ICML 2024, 2023 | 31 | 2023 |
| When do you need Chain-of-Thought Prompting for ChatGPT? J Chen, L Chen, H Huang, T Zhou arXiv preprint arXiv:2304.03262, 2023 | 30 | 2023 |
| Graph edit distance reward: Learning to edit scene graph L Chen, G Lin, S Wang, Q Wu ECCV 2020, 2020 | 21 | 2020 |
| Virtual prompt injection for instruction-tuned large language models J Yan, V Yadav, S Li, L Chen, Z Tang, H Wang, V Srinivasan, X Ren, H Jin NAACL 2024, 2023 | 20* | 2023 |
| Unbiased watermark for large language models Z Hu, L Chen, X Wu, Y Wu, H Zhang, H Huang ICLR 2024(spotlight), 2024 | 18 | 2024 |
| How Many Demonstrations Do You Need for In-context Learning? J Chen, L Chen, C Zhu, T Zhou EMNLP 2023, 2023 | 15* | 2023 |
| Alpacare: Instruction-tuned large language models for medical application X Zhang, C Tian, X Yang, L Chen, Z Li, LR Petzold arXiv preprint arXiv:2310.14558, 2023 | 15 | 2023 |
| Task-aware sampling layer for point-wise analysis Y Lin, L Chen, H Huang, C Ma, X Han, S Cui IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022 | 10* | 2022 |
| Prompting language-informed distribution for compositional zero-shot learning W Bao, L Chen, H Huang, Y Kong arXiv preprint arXiv:2305.14428, 2023 | 7 | 2023 |
| Backdoor learning on sequence to sequence models L Chen, M Cheng, H Huang arXiv preprint arXiv:2305.02424, 2023 | 7 | 2023 |
| Reflection-tuning: Recycling data for better instruction-tuning M Li, L Chen, J Chen, S He, T Zhou NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 6* | 2023 |
| PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer L Chen, H Huang, M Cheng EMNLP 2023, 2023 | 3 | 2023 |
| ODIN: Disentangled Reward Mitigates Hacking in RLHF L Chen, C Zhu, D Soselia, J Chen, T Zhou, T Goldstein, H Huang, ... ICML 2024, 2024 | 2 | 2024 |
| Can llms speak for diverse people? tuning llms via debate to generate controllable controversial statements M Li, J Chen, L Chen, T Zhou arXiv preprint arXiv:2402.10614, 2024 | 1 | 2024 |
Tianyi ZhouAssistant Professor of Computer Science, University of Maryland, College ParkVerified email at umiacs.umd.edu
