| Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks W Chen, X Ma, X Wang, WW Cohen TMLR 2023, 2022 | 584 | 2022 |
| Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies L Pan, M Saxon, W Xu, D Nathani, X Wang, WY Wang Transactions of the Association for Computational Linguistics 12, 484-506, 2024 | 222* | 2024 |
| Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning L Pan, A Albalak, X Wang, WY Wang Findings of EMNLP 2023, 2023 | 198 | 2023 |
| Large language models are latent variable models: Explaining and finding good demonstrations for in-context learning X Wang, W Zhu, M Saxon, M Steyvers, WY Wang Advances in Neural Information Processing Systems 36, 2024 | 193* | 2024 |
| TheoremQA: A Theorem-driven Question Answering dataset W Chen, M Yin, M Ku, E Wan, X Ma, J Xu, T Xia, X Wang, P Lu Proceedings of EMNLP 2023, 2023 | 95 | 2023 |
| A dataset for answering time-sensitive questions W Chen, X Wang, WY Wang Neurips 2021 Datasets and Benchmarks Track, 2021 | 88 | 2021 |
| A Survey on Data Selection for Language Models A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ... TMLR 2024, 2024 | 71 | 2024 |
| Neural topic model with attention for supervised learning X Wang, Y Yang International Conference on Artificial Intelligence and Statistics, 1147-1156, 2020 | 69 | 2020 |
| Causal Balancing for Domain Generalization X Wang, M Saxon, J Li, H Zhang, K Zhang, WY Wang Proceedings of ICLR 2023, 2022 | 32 | 2022 |
| T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback J Li, W Feng, TJ Fu, X Wang, S Basu, W Chen, WY Wang NeurIPS 2024, 2024 | 20 | 2024 |
| Generalization vs Memorization: Tracing Language Models' Capabilities Back to Pretraining Data X Wang, A Antoniades, Y Elazar, A Amayuelas, A Albalak, K Zhang, ... ICLR 2025, 2024 | 14 | 2024 |
| Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation X Wang, A Amayuelas, K Zhang, L Pan, W Chen, WY Wang ICML 2024, 2024 | 8* | 2024 |
| Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility IX Weissburg, M Arora, X Wang, L Pan, WY Wang ICML 2024, 2024 | 8 | 2024 |
| Guiding Language Model Reasoning with Planning Tokens X Wang, L Caccia, O Ostapenko, X Yuan, WY Wang, A Sordoni COLM 2024, 2023 | 8 | 2023 |
| PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers M Saxon, X Wang, W Xu, WY Wang Proceedings of EACL 2023, 2021 | 8 | 2021 |
| Counterfactual Maximum Likelihood Estimation for Training Deep Networks X Wang, W Chen, M Saxon, WY Wang Advances in Neural Information Processing Systems 34, 25072-25085, 2021 | 7 | 2021 |
| Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation W Zhu, X Wang, Y Lu, TJ Fu, XE Wang, M Eckstein, WY Wang Proceedings of EMNLP 2023, 2023 | 5 | 2023 |
| Refbert: Compressing bert by referencing to pre-computed representations X Wang, H Yang, L Zhao, Y Mo, J Shen 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Modeling Disclosive Transparency in NLP Application Descriptions M Saxon, S Levy, X Wang, A Albalak, WY Wang Proceedings of EMNLP 2021, 2021 | 4 | 2021 |
| Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models S Cheng, L Pan, X Yin, X Wang, WY Wang arXiv preprint arXiv:2410.08414, 2024 | 1 | 2024 |
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
