| 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 Advances in Neural Information Processing Systems (NeurIPS 2019), 2019 | 1303 | 2019 |
| 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 International Conference on Learning Representations (ICLR 2020), 2020 | 320 | 2020 |
| AlpaGasus: Training A Better Alpaca with Fewer Data L Chen*, S Li*, J Yan, H Wang, K Gunaratna, V Yadav, Z Tang, ... International Conference on Learning Representations (ICLR 2024), 2024 | 72 | 2024 |
| CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers S Li*, S Yavuz*, K Hashimoto, J Li, T Niu, N Rajani, X Yan, Y Zhou, ... International Conference on Learning Representations (ICLR 2021), 2021 | 64 | 2021 |
| 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, ... AAAI 2024 Workshop on Sustainable AI (SAI-AAAI2024), 2024 | 62 | 2024 |
| Limitations of language models in arithmetic and symbolic induction J Qian, H Wang, Z Li, S Li, X Yan Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 43 | 2023 |
| ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering Z Chen, S Li, C Smiley, Z Ma, S Shah, WY Wang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 38 | 2022 |
| Dialogic: Controllable Dialogue Simulation with In-Context Learning Z Li, W Chen, S Li, H Wang, J Qian, X Yan Findings of the Association for Computational Linguistics: EMNLP 2022 …, 2022 | 23* | 2022 |
| Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach S Li, J Chen, D Yu Knowledge Representation & Reasoning Meets Machine Learning Workshop at …, 2019 | 18 | 2019 |
| Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection J Yan, V Yadav*, S Li*, L Chen, Z Tang, H Wang, V Srinivasan, X Ren, ... Proceedings of the 2024 Conference of the North American Chapter of the …, 2023 | 17* | 2023 |
| HierCon: Hierarchical Organization of Technical Documents Based on Concepts K Li, S Li, S Yavuz, H Zha, Y Su, X Yan 2019 IEEE International Conference on Data Mining (IEEE ICDM 2019), 2019 | 13 | 2019 |
| Instruction-following evaluation through verbalizer manipulation S Li, J Yan, H Wang, Z Tang, X Ren, V Srinivasan, H Jin Findings of the Association for Computational Linguistics: NAACL 2024 …, 2023 | 11 | 2023 |
| Towards understanding acceleration tradeoff between momentum and asynchrony in nonconvex stochastic optimization T Liu, S Li, J Shi, E Zhou, T Zhao Advances in Neural Information Processing Systems (NeurIPS 2018), 3682-3692, 2018 | 11 | 2018 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling X Zhang*, S Li*, Z Chen, X Yan, L Petzold Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023 | 8 | 2023 |
| Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding S Li, S Yavuz, W Chen, X Yan Findings of the Association for Computational Linguistics: EMNLP 2021 …, 2021 | 8 | 2021 |
| Making Something out of Nothing: Building Robust Task-oriented Dialogue Systems from Scratch Z Li, H Wang, A Albalak, Y Yang, J Qian, S Li, X Yan 1st Proceedings of Alexa Prize TaskBot (Alexa Prize 2021), 2022 | 6 | 2022 |
| Graph Reasoning for Question Answering with Triplet Retrieval S Li, Y Gao, H Jiang, Q Yin, Z Li, X Yan, C Zhang, B Yin Findings of the Association for Computational Linguistics: ACL 2023 …, 2023 | 5 | 2023 |
| Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Z Li, S Li, X Yan Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 5 | 2023 |
| Multi-step Deep Autoregressive Forecasting with Latent States X Jin, S Li, Y Zhang, X Yan Time Series Workshop at ICML 2019, 2019 | 4 | 2019 |
| Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting X Zhang, S Li, X Yang, C Tian, Y Qin, LR Petzold International Conference on Learning Representations (ICLR 2024), 2024 | 3 | 2024 |
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraDirección de correo verificada de cs.ucsb.edu
