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ORCIDXinyi Wang 0003
Person information
- affiliation: University of California, Department of Computer Science, Santa Barbara, CA, USA
Other persons with the same name
- Xinyi Wang — disambiguation page
- Xinyi Wang 0001 (aka: Xinyi (Cindy) Wang) — Google DeepMind, New York, NY, USA (and 1 more)
- Xinyi Wang 0002
![[0000-0002-4010-7895]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4010-7895")
— Beijing Institute of Technology, School of Information and Electronics, Research Institute of Communication Technology, Beijing, China - Xinyi Wang 0004 — University of Oslo, Simula Research Laboratory, Oslo, Norway (and 1 more)
- Xinyi Wang 0005 — University of Malaya, Malaysia (and 1 more)
- Xinyi Wang 0006 — Cornell University, School of Electrical and Computer Engineering, Ithaca, NY, USA
- Xinyi Wang 0007 — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
- Xinyi Wang 0008 — Chongqing University, School of Big Data and Software Engineering, Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China
- Xinyi Wang 0009 — University of Tasmania, School of Technology, Environments and Design, College of Sciences and Engineering, Hobart, Australia (and 1 more)
- Xinyi Wang 0010 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
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Journal Articles
- 2024
[j3]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. Trans. Assoc. Comput. Linguistics 12: 484-506 (2024)- [j2]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:
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j1]Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen:
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. Trans. Mach. Learn. Res. 2023 (2023)
Conference and Workshop Papers
- 2024
- [c13]Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang:
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. ICML 2024 - [c12]Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang:
Position: AI/ML Influencers Have a Place in the Academic Process. ICML 2024 - 2023
- [c11]Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang:
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. EACL 2023: 3053-3066 - [c10]Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang:
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. EMNLP (Findings) 2023: 3806-3824 - [c9]Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia:
TheoremQA: A Theorem-driven Question Answering Dataset. EMNLP 2023: 7889-7901 - [c8]Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang:
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. EMNLP 2023: 11113-11122 - [c7]Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang:
Causal Balancing for Domain Generalization. ICLR 2023 - [c6]Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang:
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. NeurIPS 2023 - 2021
- [c5]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Modeling Disclosive Transparency in NLP Application Descriptions. EMNLP (1) 2021: 2023-2037 - [c4]Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen:
RefBERT: Compressing BERT by Referencing to Pre-computed Representations. IJCNN 2021: 1-8 - [c3]Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. NeurIPS Datasets and Benchmarks 2021 - [c2]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. NeurIPS 2021: 25072-25085 - 2020
- [c1]Xinyi Wang, Yi Yang:
Neural Topic Model with Attention for Supervised Learning. AISTATS 2020: 1147-1156
Informal and Other Publications
- 2024
- [i17]Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang:
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR abs/2402.03268 (2024) - [i16]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:
A Survey on Data Selection for Language Models. CoRR abs/2402.16827 (2024) - [i15]Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang:
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. CoRR abs/2405.18750 (2024) - [i14]Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang:
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. CoRR abs/2407.14985 (2024) - 2023
- [i13]Xinyi Wang, Wanrong Zhu, William Yang Wang:
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning. CoRR abs/2301.11916 (2023) - [i12]Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. CoRR abs/2305.11317 (2023) - [i11]Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang:
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. CoRR abs/2305.12295 (2023) - [i10]Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia:
TheoremQA: A Theorem-driven Question Answering dataset. CoRR abs/2305.12524 (2023) - [i9]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR abs/2308.03188 (2023) - [i8]Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni:
Guiding Language Model Reasoning with Planning Tokens. CoRR abs/2310.05707 (2023) - 2022
- [i7]Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang:
Causal Balancing for Domain Generalization. CoRR abs/2206.05263 (2022) - [i6]Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen:
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. CoRR abs/2211.12588 (2022) - 2021
- [i5]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Dimensions of Transparency in NLP Applications. CoRR abs/2101.00433 (2021) - [i4]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. CoRR abs/2106.03831 (2021) - [i3]Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen:
RefBERT: Compressing BERT by Referencing to Pre-computed Representations. CoRR abs/2106.08898 (2021) - [i2]Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. CoRR abs/2108.06314 (2021) - [i1]Michael Saxon, Xinyi Wang, William Yang Wang:
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. CoRR abs/2112.09237 (2021)
Coauthor Index
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