| UltraFeedback: Boosting Language Models with High-quality Feedback G Cui*, L Yuan*, N Ding, G Yao, W Zhu, Y Ni, G Xie, Z Liu, M Sun ICML, 2024 | 142 | 2024 |
| A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks G Cui*, L Yuan*, B He, Y Chen, Z Liu, M Sun NeurIPS (Datasets and Benchmarks Track), 2022 | 59 | 2022 |
| MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback X Wang*, Z Wang*, J Liu, Y Chen, L Yuan, H Peng, H Ji ICLR, 2024 | 57 | 2024 |
| Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations L Yuan, Y Chen, G Cui, H Gao, F Zou, X Cheng, H Ji, Z Liu, M Sun NeurIPS (Datasets and Benchmarks Track), 2023 | 47 | 2023 |
| A Close Look into the Calibration of Pre-trained Language Models Y Chen*, L Yuan*, G Cui, Z Liu, H Ji ACL, 2023 | 35 | 2023 |
| Bridge the gap between CV and NLP! a gradient-based textual adversarial attack framework L Yuan*, Y Zhang*, Y Chen, W Wei Findings of ACL, 2023 | 31 | 2023 |
| Executable Code Actions Elicit Better LLM Agents X Wang, Y Chen, L Yuan, Y Zhang, Y Li, H Peng, H Ji ICML, 2024 | 29 | 2024 |
| Advancing LLM Reasoning Generalists with Preference Trees L Yuan*, G Cui*, H Wang*, N Ding, X Wang, J Deng, B Shan, H Chen, ... arXiv preprint arXiv:2404.02078, 2024 | 25 | 2024 |
| CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets L Yuan*, Y Chen*, X Wang, YR Fung, H Peng, H Ji ICLR, 2024 | 24 | 2024 |
| FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition L Yang*, L Yuan*, L Cui, W Gao, Y Zhang COLING, 2022 | 19 | 2022 |
| Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis L Wu*, L Yuan*, G Zhao, H Lin, SZ Li IEEE Transactions on Neural Networks and Learning Systems, 2022 | 16 | 2022 |
| Controllable preference optimization: Toward controllable multi-objective alignment Y Guo, G Cui, L Yuan, N Ding, J Wang, H Chen, B Sun, R Xie, J Zhou, ... arXiv preprint arXiv:2402.19085, 2024 | 11 | 2024 |
| Noise contrastive alignment of language models with explicit rewards H Chen, G He, L Yuan, G Cui, H Su, J Zhu arXiv preprint arXiv:2402.05369, 2024 | 8 | 2024 |
| From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework Y Chen*, H Gao*, G Cui*, L Yuan, D Kong, H Wu, N Shi, B Yuan, L Huang, ... Findings of ACL, 2023 | 5 | 2023 |
| Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT B Zhu, L Yuan, G Cui, Y Chen, C Fu, B He, Y Deng, Z Liu, M Sun, M Gu EMNLP, 2023 | 3 | 2023 |
| Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown G Liu, X Wang, L Yuan, Y Chen, H Peng arXiv preprint arXiv:2311.09731, 2023 | 3 | 2023 |
| Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity B He, N Ding, C Qian, J Deng, G Cui, L Yuan, H Gao, H Chen, Z Liu, ... arXiv preprint arXiv:2406.11721, 2024 | 1 | 2024 |
| Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training B Zhu*, G Cui*, Y Chen, Y Qin, L Yuan, C Fu, Y Deng, Z Liu, M Sun, M Gu TACL, 2023 | | 2023 |
Ganqu CuiTsinghua UniversityПотвърден имейл адрес: mails.tsinghua.edu.cn
