Xinyi Wang

According to our database, Xinyi Wang authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Data Selection for Language Models.

Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang

Trans. Mach. Learn. Res., 2024

Automatically Correcting Large Language Models: <i>Surveying the Landscape of Diverse Automated Correction Strategies</i>.

Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang

Trans. Assoc. Comput. Linguistics, 2024

Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data.

Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang

CoRR, 2024

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback.

Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang

CoRR, 2024

Position: AI/ML Influencers Have a Place in the Academic Process.

Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.

Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen

Trans. Mach. Learn. Res., 2023

Guiding Language Model Reasoning with Planning Tokens.

Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni

CoRR, 2023

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang

CoRR, 2023

Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning.

Xinyi Wang, Wanrong Zhu, William Yang Wang

CoRR, 2023

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning.

Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Balancing for Domain Generalization.

Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation.

Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TheoremQA: A Theorem-driven Question Answering Dataset.

Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers.

Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2021

Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets.

Michael Saxon, Xinyi Wang, William Yang Wang

CoRR, 2021

Dimensions of Transparency in NLP Applications.

Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang

CoRR, 2021

Counterfactual Maximum Likelihood Estimation for Training Deep Networks.

Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Dataset for Answering Time-Sensitive Questions.

Wenhu Chen, Xinyi Wang, William Yang Wang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

RefBERT: Compressing BERT by Referencing to Pre-computed Representations.

Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen

Proceedings of the International Joint Conference on Neural Networks, 2021

Modeling Disclosive Transparency in NLP Application Descriptions.

Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Neural Topic Model with Attention for Supervised Learning.

Xinyi Wang, Yi Yang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020