Sida I. Wang

According to our database, Sida I. Wang authored at least 39 papers between 2012 and 2024.

Collaborative distances:

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

2024

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

John Yang, Carlos E. Jimenez, Alex L. Zhang, Kilian Lieret, Joyce Yang, Xindi Wu, Ori Press, Niklas Muennighoff, Gabriel Synnaeve, Karthik R. Narasimhan, Diyi Yang, Sida I. Wang, Ofir Press

CoRR, 2024

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu

CoRR, 2024

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica

CoRR, 2024

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

Alex Gu, Baptiste Rozière, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang

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

2023

Accessing Higher Dimensions for Unsupervised Word Translation.

Sida I. Wang

CoRR, 2023

Coder Reviewer Reranking for Code Generation.

Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang

Proceedings of the International Conference on Machine Learning, 2023

LEVER: Learning to Verify Language-to-Code Generation with Execution.

Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida I. Wang, Xi Victoria Lin

Proceedings of the International Conference on Machine Learning, 2023

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida I. Wang, Tao Yu

Proceedings of the International Conference on Machine Learning, 2023

InCoder: A Generative Model for Code Infilling and Synthesis.

Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing.

Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation.

Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Natural Language to Code Translation with Execution.

Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Continual Model Refinement in Out-of-Distribution Data Streams.

Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark.

Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer

CoRR, 2021

Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms.

Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

CoRR, 2021

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark.

Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer

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

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms.

Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment.

Haoyue Shi, Luke Zettlemoyer, Sida I. Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Pre-training via Paraphrasing.

Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Grounded Adaptation for Zero-shot Executable Semantic Parsing.

Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Classification by Asking Informative Questions.

Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, Yoav Artzi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Simple Recurrent Units for Highly Parallelizable Recurrence.

Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Learning adaptive language interfaces through interaction.

Sida I. Wang

PhD thesis, 2017

Data Noising as Smoothing in Neural Network Language Models.

Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng

Proceedings of the 5th International Conference on Learning Representations, 2017

Naturalizing a Programming Language via Interactive Learning.

Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Learning Language Games through Interaction.

Sida I. Wang, Percy Liang, Christopher D. Manning

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Estimating Mixture Models via Mixtures of Polynomials.

Sida Wang, Arun Tejasvi Chaganty, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Relaxations for inference in restricted Boltzmann machines.

Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning

Proceedings of the 2nd International Conference on Learning Representations, 2014

A sub-constant improvement in approximating the positive semidefinite Grothendieck problem.

Roy Frostig, Sida I. Wang

CoRR, 2014

Altitude Training: Strong Bounds for Single-Layer Dropout.

Stefan Wager, William Fithian, Sida Wang, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Simple MAP Inference via Low-Rank Relaxations.

Roy Frostig, Sida Wang, Percy Liang, Christopher D. Manning

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Human Effort and Machine Learnability in Computer Aided Translation.

Spence Green, Sida I. Wang, Jason Chuang, Jeffrey Heer, Sebastian Schuster, Christopher D. Manning

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task.

Spence Green, Daniel M. Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert, Christopher D. Manning

Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

Dropout Training as Adaptive Regularization.

Stefan Wager, Sida Wang, Percy Liang

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Fast dropout training.

Sida Wang, Christopher D. Manning

Proceedings of the 30th International Conference on Machine Learning, 2013

Feature Noising for Log-Linear Structured Prediction.

Sida Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Fast and Adaptive Online Training of Feature-Rich Translation Models.

Spence Green, Sida Wang, Daniel M. Cer, Christopher D. Manning

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Baselines and Bigrams: Simple, Good Sentiment and Topic Classification.

Sida Wang, Christopher D. Manning

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012