Sida I. Wang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Topics

Semantic Parsing

Code Generation

Restricted Boltzmann Machine

Top Venues

Publications

Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. CoRR (2024)
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 (2023)
Sida I. Wang
Accessing Higher Dimensions for Unsupervised Word Translation. CoRR (2023)
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)
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 (2023)
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)
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)
Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang
Natural Language to Code Translation with Execution. CoRR (2022)
Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang
Natural Language to Code Translation with Execution. EMNLP (2022)
Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang
Coder Reviewer Reranking for Code Generation. CoRR (2022)
Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. NAACL-HLT (Findings) (2022)
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)
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 (2022)
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 (2022)
Haoyue Shi, Luke Zettlemoyer, Sida I. Wang
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. CoRR (2021)
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS (2021)
Haoyue Shi, Luke Zettlemoyer, Sida I. Wang
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. ACL/IJCNLP (1) (2021)
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR (2021)
Yilun Zhou, Adithya Renduchintala, Xian Li, Sida I. Wang, Yashar Mehdad, Asish Ghoshal
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS (2021)
Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. CoRR (2021)
Yilun Zhou, Adi Renduchintala, Xian Li, Sida I. Wang, Yashar Mehdad, Asish Ghoshal
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR (2021)
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer
Pre-training via Paraphrasing. CoRR (2020)
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer
Pre-training via Paraphrasing. NeurIPS (2020)
Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
Grounded Adaptation for Zero-shot Executable Semantic Parsing. CoRR (2020)
Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
Grounded Adaptation for Zero-shot Executable Semantic Parsing. EMNLP (1) (2020)
Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, Yoav Artzi
Interactive Classification by Asking Informative Questions. ACL (2020)
Lili Yu, Howard Chen, Sida I. Wang, Yoav Artzi, Tao Lei
Interactive Classification by Asking Informative Questions. CoRR (2019)
Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi
Simple Recurrent Units for Highly Parallelizable Recurrence. EMNLP (2018)
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)
Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning
Naturalizing a Programming Language via Interactive Learning. CoRR (2017)
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 (2017)
Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning
Naturalizing a Programming Language via Interactive Learning. ACL (1) (2017)
Sida I. Wang, Percy Liang, Christopher D. Manning
Learning Language Games through Interaction. CoRR (2016)
Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
Estimating Mixture Models via Mixtures of Polynomials. CoRR (2016)
Sida I. Wang, Percy Liang, Christopher D. Manning
Learning Language Games through Interaction. ACL (1) (2016)
Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
Estimating Mixture Models via Mixtures of Polynomials. NIPS (2015)
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)
Roy Frostig, Sida I. Wang
A sub-constant improvement in approximating the positive semidefinite Grothendieck problem. CoRR (2014)
Stefan Wager, William Fithian, Sida I. Wang, Percy Liang
Altitude Training: Strong Bounds for Single-Layer Dropout. NIPS (2014)
Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning
Relaxations for inference in restricted Boltzmann machines. ICLR (Workshop) (2014)
Stefan Wager, William Fithian, Sida I. Wang, Percy Liang
Altitude Training: Strong Bounds for Single-Layer Dropout. CoRR (2014)
Roy Frostig, Sida I. Wang, Percy Liang, Christopher D. Manning
Simple MAP Inference via Low-Rank Relaxations. NIPS (2014)
Stefan Wager, Sida I. Wang, Percy Liang
Dropout Training as Adaptive Regularization. CoRR (2013)
Sida I. Wang, Christopher D. Manning
Fast dropout training. ICML (2) (2013)
Sida I. Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning
Feature Noising for Log-Linear Structured Prediction. EMNLP (2013)
Spence Green, Sida I. Wang, Daniel M. Cer, Christopher D. Manning
Fast and Adaptive Online Training of Feature-Rich Translation Models. ACL (1) (2013)
Spence Green, Daniel M. Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida I. 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)
Stefan Wager, Sida I. Wang, Percy Liang
Dropout Training as Adaptive Regularization. NIPS (2013)
Sida I. Wang, Christopher D. Manning
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. ACL (2) (2012)