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ORCIDSida I. Wang
Person information
- affiliation: Facebook AI Research, Seattle, WA, USA
- affiliation (PhD 2017): Stanford University, Departments of Computer Science, CA, USA
Other persons with the same name
- Sida Wang (aka: SiDa Wang, Si-Da Wang) — disambiguation page
- Sida Wang 0002 — LinkedIn, Mountain View, CA, USA (and 1 more)
- Sida Wang 0003 (aka: SiDa Wang 0003) — Xihua University, School of Computer and Software Engineering, Chengdu, China
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Books and Theses
- 2017
[b1]Sida I. Wang:
Learning adaptive language interfaces through interaction. Stanford University, USA, 2017
Conference and Workshop Papers
- 2023
- [c30]Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao:
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. ACL (1) 2023: 3149-3170 - [c29]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. ICLR 2023 - [c28]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. ICML 2023: 18319-18345 - [c27]Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML 2023: 26106-26128 - [c26]Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang:
Coder Reviewer Reranking for Code Generation. ICML 2023: 41832-41846 - 2022
- [c25]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) 2022: 3128-3139 - [c24]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c23]Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang:
Natural Language to Code Translation with Execution. EMNLP 2022: 3533-3546 - [c22]Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad:
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. NAACL-HLT (Findings) 2022: 1469-1485 - 2021
- [c21]Haoyue Shi, Luke Zettlemoyer, Sida I. Wang:
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. ACL/IJCNLP (1) 2021: 813-826 - [c20]Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS 2021: 1486-1494 - [c19]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS 2021: 21505-21519 - 2020
- [c18]Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, Yoav Artzi:
Interactive Classification by Asking Informative Questions. ACL 2020: 2664-2680 - [c17]Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer:
Grounded Adaptation for Zero-shot Executable Semantic Parsing. EMNLP (1) 2020: 6869-6882 - [c16]Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer:
Pre-training via Paraphrasing. NeurIPS 2020 - 2018
- [c15]Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi:
Simple Recurrent Units for Highly Parallelizable Recurrence. EMNLP 2018: 4470-4481 - 2017
- [c14]Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning
:
Naturalizing a Programming Language via Interactive Learning. ACL (1) 2017: 929-938 - [c13]Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng:
Data Noising as Smoothing in Neural Network Language Models. ICLR (Poster) 2017 - 2016
- [c12]Sida I. Wang, Percy Liang, Christopher D. Manning:
Learning Language Games through Interaction. ACL (1) 2016 - 2015
- [c11]Sida Wang, Arun Tejasvi Chaganty, Percy Liang:
Estimating Mixture Models via Mixtures of Polynomials. NIPS 2015: 487-495 - 2014
- [c10]Spence Green, Sida I. Wang, Jason Chuang, Jeffrey Heer, Sebastian Schuster, Christopher D. Manning:
Human Effort and Machine Learnability in Computer Aided Translation. EMNLP 2014: 1225-1236 - [c9]Stefan Wager, William Fithian, Sida Wang, Percy Liang:
Altitude Training: Strong Bounds for Single-Layer Dropout. NIPS 2014: 100-108 - [c8]Roy Frostig, Sida Wang, Percy Liang, Christopher D. Manning:
Simple MAP Inference via Low-Rank Relaxations. NIPS 2014: 3077-3085 - [c7]Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning:
Relaxations for inference in restricted Boltzmann machines. ICLR (Workshop) 2014 - 2013
- [c6]Spence Green, Sida Wang, Daniel M. Cer, Christopher D. Manning:
Fast and Adaptive Online Training of Feature-Rich Translation Models. ACL (1) 2013: 311-321 - [c5]Sida Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning:
Feature Noising for Log-Linear Structured Prediction. EMNLP 2013: 1170-1179 - [c4]Sida Wang, Christopher D. Manning:
Fast dropout training. ICML (2) 2013: 118-126 - [c3]Stefan Wager, Sida Wang, Percy Liang:
Dropout Training as Adaptive Regularization. NIPS 2013: 351-359 - [c2]Spence Green, Daniel M. Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert, Christopher D. Manning:
Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task. WMT@ACL 2013: 148-153 - 2012
- [c1]Sida Wang, Christopher D. Manning:
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. ACL (2) 2012: 90-94
Informal and Other Publications
- 2024
- [i25]Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang:
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. CoRR abs/2401.03065 (2024) - [i24]Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica:
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code. CoRR abs/2403.07974 (2024) - 2023
- [i23]Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin:
LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR abs/2302.08468 (2023) - [i22]Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao:
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. CoRR abs/2305.08195 (2023) - [i21]Sida I. Wang:
Accessing Higher Dimensions for Unsupervised Word Translation. CoRR abs/2305.14200 (2023) - 2022
- [i20]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i19]Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis:
InCoder: A Generative Model for Code Infilling and Synthesis. CoRR abs/2204.05999 (2022) - [i18]Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang:
Natural Language to Code Translation with Execution. CoRR abs/2204.11454 (2022) - [i17]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR abs/2205.02014 (2022) - [i16]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. CoRR abs/2211.11501 (2022) - [i15]Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang:
Coder Reviewer Reranking for Code Generation. CoRR abs/2211.16490 (2022) - 2021
- [i14]Haoyue Shi, Luke Zettlemoyer, Sida I. Wang:
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. CoRR abs/2101.00148 (2021) - [i13]Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR abs/2101.00977 (2021) - [i12]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR abs/2110.10661 (2021) - [i11]Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad:
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. CoRR abs/2111.06787 (2021) - 2020
- [i10]Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer:
Pre-training via Paraphrasing. CoRR abs/2006.15020 (2020) - [i9]Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer:
Grounded Adaptation for Zero-shot Executable Semantic Parsing. CoRR abs/2009.07396 (2020) - 2019
- [i8]Lili Yu, Howard Chen, Sida Wang, Yoav Artzi, Tao Lei:
Interactive Classification by Asking Informative Questions. CoRR abs/1911.03598 (2019) - 2017
- [i7]Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng:
Data Noising as Smoothing in Neural Network Language Models. CoRR abs/1703.02573 (2017) - [i6]Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning:
Naturalizing a Programming Language via Interactive Learning. CoRR abs/1704.06956 (2017) - 2016
- [i5]Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang:
Estimating Mixture Models via Mixtures of Polynomials. CoRR abs/1603.08482 (2016) - [i4]Sida I. Wang, Percy Liang, Christopher D. Manning:
Learning Language Games through Interaction. CoRR abs/1606.02447 (2016) - 2014
- [i3]Stefan Wager, William Fithian, Sida Wang, Percy Liang:
Altitude Training: Strong Bounds for Single-Layer Dropout. CoRR abs/1407.3289 (2014) - [i2]Roy Frostig, Sida I. Wang:
A sub-constant improvement in approximating the positive semidefinite Grothendieck problem. CoRR abs/1408.2270 (2014) - 2013
- [i1]Stefan Wager, Sida Wang, Percy Liang:
Dropout Training as Adaptive Regularization. CoRR abs/1307.1493 (2013)
Coauthor Index
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