| A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... ACM TIST (Hugging Face Daily Papers), 2024 | 1806 | 2024 |
| Promptbench: Towards evaluating the robustness of large language models on adversarial prompts K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, ... NeurIPS 2023 Workshop (Hugging Face Daily Papers), 2023 | 243* | 2023 |
| On the robustness of chatgpt: An adversarial and out-of-distribution perspective J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ... ICLR 2023 Workshop, 2023 | 220 | 2023 |
| PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ... ICLR 2024 (Hugging Face Daily Papers), 2024 | 168* | 2024 |
| Survey on factuality in large language models: Knowledge, retrieval and domain-specificity C Wang, X Liu, Y Yue, X Tang, T Zhang, C Jiayang, Y Yao, W Gao, X Hu, ... arXiv preprint arXiv:2310.07521, 2023 | 163 | 2023 |
| USB: A Unified Semi-supervised Learning Benchmark for Classification Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ... NeurIPS 2022 Dataset and Benchmark, 2022 | 128 | 2022 |
| HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction L Yang, TLJ Ng, B Smyth, R Dong WWW 2020, 2020 | 123 | 2020 |
| Fast-detectgpt: Efficient zero-shot detection of machine-generated text via conditional probability curvature G Bao, Y Zhao, Z Teng, L Yang, Y Zhang ICLR 2024, 2024 | 87 | 2024 |
| Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification L Yang, EM Kenny, TLJ Ng, Y Yang, B Smyth, R Dong COLING 2020, 2020 | 76 | 2020 |
| GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective L Yang, S Zhang, L Qin, Y Li, Y Wang, H Liu, J Wang, X Xie, Y Zhang ACL 2023 Findings, 2023 | 73 | 2023 |
| Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis L Yang, J Li, P Cunningham, Y Zhang, B Smyth, R Dong ACL 2021, 2021 | 64 | 2021 |
| Explainable Text-Driven Neural Network for Stock Prediction L Yang, Z Zhang, S Xiong, L Wei, J Ng, L Xu, R Dong CCIS 2018 (Best Paper Nomination), 2018 | 63 | 2018 |
| MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction J Li*, L Yang*, B Smyth, R Dong CIKM 2020, 2020 | 54 | 2020 |
| Deepfake text detection in the wild Y Li, Q Li, L Cui, W Bi, L Wang, L Yang, S Shi, Y Zhang ACL 2024, 2024 | 48 | 2024 |
| A Rationale-Centric Framework for Human-in-the-loop Machine Learning J Lu*, L Yang*, BM Namee, Y Zhang ACL 2022, 2022 | 34 | 2022 |
| NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting L Yang, J Li, R Dong, Y Zhang, B Smyth AAAI 2022, 2022 | 32 | 2022 |
| Detoxifying Large Language Models via Knowledge Editing M Wang, N Zhang, Z Xu, Z Xi, S Deng, Y Yao, Q Zhang, L Yang, J Wang, ... arXiv preprint arXiv:2403.14472, 2024 | 31* | 2024 |
| Leveraging BERT to Improve the FEARS Index for Stock Forecasting L Yang, Y Xu, J Ng, R Dong IJCAI 2019, 2019 | 28 | 2019 |
| 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, 2022 | 22 | 2022 |
| Llms with chain-of-thought are non-causal reasoners G Bao, H Zhang, L Yang, C Wang, Y Zhang COLING 2025, 2025 | 19 | 2025 |
Yue ZhangWestlake UniversityVerified email at wias.org.cn
