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Xinyi Wang
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
W Chen, X Ma, X Wang, WW Cohen
TMLR 2023, 2022
5182022
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
194*2024
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
173*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
1622023
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
822023
A dataset for answering time-sensitive questions
W Chen, X Wang, WY Wang
Neurips 2021 Datasets and Benchmarks Track, 2021
822021
Neural topic model with attention for supervised learning
X Wang, Y Yang
International Conference on Artificial Intelligence and Statistics, 1147-1156, 2020
652020
A Survey on Data Selection for Language Models
A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ...
TMLR, 2024
632024
Causal Balancing for Domain Generalization
X Wang, M Saxon, J Li, H Zhang, K Zhang, WY Wang
Proceedings of ICLR 2023, 2022
302022
Generalization vs Memorization: Tracing Language Models' Capabilities Back to Pretraining Data
X Wang, A Antoniades, Y Elazar, A Amayuelas, A Albalak, K Zhang, ...
arXiv preprint arXiv:2407.14985, 2024
82024
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
72024
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
72021
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
62021
Guiding Language Model Reasoning with Planning Tokens
X Wang, L Caccia, O Ostapenko, X Yuan, WY Wang, A Sordoni
COLM 2024, 2023
52023
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
52023
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
52021
Modeling Disclosive Transparency in NLP Application Descriptions
M Saxon, S Levy, X Wang, A Albalak, WY Wang
Proceedings of EMNLP 2021, 2021
42021
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
12024
G\" odel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
X Yin, X Wang, L Pan, X Wan, WY Wang
arXiv preprint arXiv:2410.04444, 2024
2024
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