Shiyang Li
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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) Advances in Neural Information Processing Systems, 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
(ICLR 2020) International Conference on Learning Representations, 2020
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
S Li*, S Yavuz*, K Hashimoto, J Li, T Niu, N Rajani, X Yan, Y Zhou, ...
(ICLR 2021) International Conference on Learning Representations, 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, ...
arXiv preprint arXiv:2210.06726, 2022
Limitations of language models in arithmetic and symbolic induction
J Qian, H Wang, Z Li, S Li, X Yan
(ACL 2023) Annual Meeting of the Association for Computational Linguistics, 2023
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
S Li, J Chen, D Yu
NeurIPS KR2ML Workshop, 2019
HierCon: Hierarchical Organization of Technical Documents Based on Concepts
K Li, S Li, S Yavuz, H Zha, Y Su, X Yan
(IEEE ICDM 2019) IEEE International Conference on Data Mining, 2019
Towards understanding acceleration tradeoff between momentum and asynchrony in nonconvex stochastic optimization
T Liu, S Li, J Shi, E Zhou, T Zhao
(NeurIPS 2018) Advances in Neural Information Processing Systems, 3682-3692, 2018
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
Z Chen, S Li, C Smiley, Z Ma, S Shah, WY Wang
(EMNLP 2022) Proceedings of the Conference on Empirical Methods in Natural …, 2022
AlpaGasus: Training A Better Alpaca with Fewer Data
L Chen*, S Li*, J Yan, H Wang, K Gunaratna, V Yadav, Z Tang, ...
arXiv preprint arXiv:2307.08701, 2023
Controllable Dialogue Simulation with In-Context Learning
Z Li, W Chen, S Li, H Wang, J Qian, X Yan
(Findings of EMNLP 2022) Findings of the Conference on Empirical Methods in …, 2022
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
S Li, S Yavuz, W Chen, X Yan
(Findings of EMNLP 2021) Findings of the Conference on Empirical Methods in …, 2021
Multi-step Deep Autoregressive Forecasting with Latent States
X Jin, S Li, Y Zhang, X Yan
ICML 2019 Workshop on Time Series, 2019
Instruction-following evaluation through verbalizer manipulation
S Li, J Yan, H Wang, Z Tang, X Ren, V Srinivasan, H Jin
arXiv preprint arXiv:2307.10558, 2023
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
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
X Zhang, S Li, X Yang, C Tian, Y Qin, LR Petzold
arXiv preprint arXiv:2305.12723, 2023
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
X Zhang*, S Li*, Z Chen, X Yan, L Petzold
(ICML 2023) International Conference on Machine Learning, 2023
Domain Adaptation for Trauma Mortality Prediction in EHRs with Feature Disparity
X Zhang, S Li, Z Cheng, R Callcut, L Petzold
(BIBM 2021) IEEE International Conference on Bioinformatics and Biomedicine …, 2021
Virtual Prompt Injection for Instruction-Tuned Large Language Models
J Yan, V Yadav*, S Li*, L Chen, Z Tang, H Wang, V Srinivasan, X Ren, ...
arXiv preprint arXiv:2307.16888, 2023
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 ACL 2023) Findings of Annual Meeting of the Association for …, 2023
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