| Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting S Li, X Jin, Y Xuan, X Zhou, W Chen, YX Wang, X Yan NeurIPS 2019, 2019 | 1423 | 2019 |
| Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks W Chen, X Ma, X Wang, WW Cohen TMLR 2023, 2022 | 354 | 2022 |
| TabFact: A Large-scale Dataset for Table-based Fact Verification W Chen, H Wang, J Chen, Y Zhang, H Wang, S Li, X Zhou, WY Wang ICLR 2020, 2020 | 351 | 2020 |
| Video captioning via hierarchical reinforcement learning X Wang, W Chen, J Wu, YF Wang, WY Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 306 | 2018 |
| HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data W Chen, H Zha, Z Chen, W Xiong, H Wang, W Wang Proceedings of EMNLP 2020, 2020 | 255 | 2020 |
| No metrics are perfect: Adversarial reward learning for visual storytelling X Wang*, W Chen*, YF Wang, WY Wang ACL 2018, 2018 | 177 | 2018 |
| FinQA: A Dataset of Numerical Reasoning over Financial Data Z Chen, W Chen, C Smiley, S Shah, I Borova, D Langdon, R Moussa, ... EMNLP 2021, 2021 | 162 | 2021 |
| Open question answering over tables and text W Chen, MW Chang, E Schlinger, W Wang, WW Cohen ICLR 2021, 2021 | 160 | 2021 |
| Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention W Chen, J Chen, P Qin, X Yan, WY Wang ACL 2019, 2019 | 145 | 2019 |
| Variational knowledge graph reasoning W Chen, W Xiong, X Yan, W Wang NAACL 2018, 2018 | 145 | 2018 |
| Logical Natural Language Generation from Open-Domain Tables W Chen, J Chen, Y Su, Z Chen, WY Wang ACL 2020, 2020 | 144 | 2020 |
| Few-shot NLG with Pre-trained Language Model Z Chen, H Eavani, W Chen, Y Liu, WY Wang ACL 2020, 2019 | 143 | 2019 |
| KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation W Chen, Y Su, X Yan, WY Wang EMNLP 2020, 2020 | 135 | 2020 |
| Guided alignment training for topic-aware neural machine translation W Chen, E Matusov, S Khadivi, JT Peter AMTA 2016, 2016 | 118 | 2016 |
| MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning X Yue, X Qu, G Zhang, Y Fu, W Huang, H Sun, Y Su, W Chen ICLR 2024, 2023 | 110 | 2023 |
| Re-imagen: Retrieval-augmented text-to-image generator W Chen, H Hu, C Saharia, WW Cohen ICLR 2023, 2022 | 107 | 2022 |
| MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI X Yue, Y Ni, K Zhang, T Zheng, R Liu, G Zhang, S Stevens, D Jiang, ... CVPR 2024, 2023 | 105 | 2023 |
| Subject-driven Text-to-Image Generation via Apprenticeship Learning W Chen, H Hu, Y Li, N Ruiz, X Jia, MW Chang, WW Cohen NeurIPS 2023, 2023 | 86 | 2023 |
| Large language models are few (1)-shot table reasoners W Chen EACL 2023, 2022 | 78 | 2022 |
| Explanations from Large Language Models Make Small Reasoners Better S Li, J Chen, Y Shen, Z Chen, X Zhang, Z Li, H Wang, J Qian, B Peng, ... SAI-AAAI 2024, 2022 | 76 | 2022 |
William Yang WangMellichamp Chair Professor, University of California, Santa Barbara在 cs.ucsb.edu 的电子邮件经过验证
