Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. - Sida Wang 001; Christopher D. Manning (ACL (2), 2012)

Fast and Adaptive Online Training of Feature-Rich Translation Models. - Spence Green; Sida Wang 001; Daniel M. Cer; Christopher D. Manning (ACL (1), 2013)

Feature Noising for Log-Linear Structured Prediction. - Sida Wang 001; Mengqiu Wang; Stefan Wager; Percy Liang; Christopher D. Manning (EMNLP, 2013)

Fast dropout training. - Sida Wang 001; Christopher D. Manning (ICML (2), 2013)

Dropout Training as Adaptive Regularization. - Stefan Wager; Sida Wang 001; Percy Liang (NIPS, 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 001; Natalia Silveira; Julia Neidert; Christopher D. Manning (WMT@ACL, 2013)

Human Effort and Machine Learnability in Computer Aided Translation. - Spence Green; Sida I. Wang; Jason Chuang; Jeffrey Heer; Sebastian Schuster; Christopher D. Manning (EMNLP, 2014)

Simple MAP Inference via Low-Rank Relaxations. - Roy Frostig; Sida Wang 001; Percy Liang; Christopher D. Manning (NIPS, 2014)

Altitude Training: Strong Bounds for Single-Layer Dropout. - Stefan Wager; William Fithian; Sida Wang 001; Percy Liang (NIPS, 2014)

A sub-constant improvement in approximating the positive semidefinite Grothendieck problem. - Roy Frostig; Sida I. Wang (CoRR, 2014)

Relaxations for inference in restricted Boltzmann machines. - Sida I. Wang; Roy Frostig; Percy Liang; Christopher D. Manning (ICLR (Workshop), 2014)

Estimating Mixture Models via Mixtures of Polynomials. - Sida Wang 001; Arun Tejasvi Chaganty; Percy Liang (NIPS, 2015)

Learning Language Games through Interaction. - Sida I. Wang; Percy Liang; Christopher D. Manning (ACL (1), 2016)

Naturalizing a Programming Language via Interactive Learning. - Sida I. Wang; Samuel Ginn; Percy Liang; Christopher D. Manning (ACL (1), 2017)

Data Noising as Smoothing in Neural Network Language Models. - Ziang Xie; Sida I. Wang; Jiwei Li 001; Daniel Lévy; Aiming Nie; Dan Jurafsky; Andrew Y. Ng (ICLR (Poster), 2017)

Learning adaptive language interfaces through interaction. - Sida I. Wang (2017)

Simple Recurrent Units for Highly Parallelizable Recurrence. - Tao Lei 001; Yu Zhang; Sida I. Wang; Hui Dai; Yoav Artzi (EMNLP, 2018)

Interactive Classification by Asking Informative Questions. - Lili Yu; Howard Chen 003; Sida I. Wang; Tao Lei 001; Yoav Artzi (ACL, 2020)

Grounded Adaptation for Zero-shot Executable Semantic Parsing. - Victor Zhong; Mike Lewis; Sida I. Wang; Luke Zettlemoyer (EMNLP (1), 2020)

Pre-training via Paraphrasing. - Mike Lewis; Marjan Ghazvininejad; Gargi Ghosh; Armen Aghajanyan; Sida Wang 001; Luke Zettlemoyer (NeurIPS, 2020)

Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. - Haoyue Shi 001; Luke Zettlemoyer; Sida I. Wang (ACL/IJCNLP (1), 2021)

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. - Yilun Zhou; Adithya Renduchintala; Xian Li 003; Sida Wang 001; Yashar Mehdad; Asish Ghoshal (AISTATS, 2021)

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. - Victor Zhong; Austin W. Hanjie; Sida I. Wang; Karthik Narasimhan; Luke Zettlemoyer (NeurIPS, 2021)

Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. - Yilun Zhou; Adi Renduchintala; Xian Li 003; Sida Wang 001; Yashar Mehdad; Asish Ghoshal (CoRR, 2021)

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. - Victor Zhong; Austin W. Hanjie; Sida I. Wang; Karthik Narasimhan; Luke Zettlemoyer (CoRR, 2021)

On Continual Model Refinement in Out-of-Distribution Data Streams. - Bill Yuchen Lin; Sida Wang 001; Xi Victoria Lin; Robin Jia; Lin Xiao; Xiang Ren 001; Scott Yih (ACL (1), 2022)

Natural Language to Code Translation with Execution. - Freda Shi; Daniel Fried; Marjan Ghazvininejad; Luke Zettlemoyer; Sida I. Wang (EMNLP, 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. - Eleftheria Briakou; Sida I. Wang; Luke Zettlemoyer; Marjan Ghazvininejad (NAACL-HLT (Findings), 2022)

Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. - Hao Yan; Saurabh Srivastava; Yintao Tai; Sida I. Wang; Wen-tau Yih; Ziyu Yao 002 (ACL (1), 2023)

InCoder: A Generative Model for Code Infilling and Synthesis. - Daniel Fried; Armen Aghajanyan; Jessy Lin; Sida Wang 001; Eric Wallace; Freda Shi; Ruiqi Zhong; Scott Yih; Luke Zettlemoyer; Mike Lewis (ICLR, 2023)

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. - Yuhang Lai; Chengxi Li 011; Yiming Wang; Tianyi Zhang; Ruiqi Zhong; Luke Zettlemoyer; Wen-Tau Yih; Daniel Fried; Sida I. Wang; Tao Yu 009 (ICML, 2023)

LEVER: Learning to Verify Language-to-Code Generation with Execution. - Ansong Ni; Srini Iyer 001; Dragomir Radev; Veselin Stoyanov; Wen-Tau Yih; Sida I. Wang; Xi Victoria Lin (ICML, 2023)

Coder Reviewer Reranking for Code Generation. - Tianyi Zhang; Tao Yu 009; Tatsunori Hashimoto; Mike Lewis; Wen-Tau Yih; Daniel Fried; Sida Wang 001 (ICML, 2023)

Accessing Higher Dimensions for Unsupervised Word Translation. - Sida I. Wang (CoRR, 2023)

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. - Alex Gu; Baptiste Rozière; Hugh James Leather; Armando Solar-Lezama; Gabriel Synnaeve; Sida Wang 001 (ICML, 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; Wenjing Hu; Yuchen Mao; Tianbao Xie; Hongshen Xu; et al. (NeurIPS, 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 001; Armando Solar-Lezama; Koushik Sen; Ion Stoica (ICLR, 2025)

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. - Fangyu Lei; Jixuan Chen; Yuxiao Ye; Ruisheng Cao; Dongchan Shin; Hongjin Su; Zhaoqing Suo; Hongcheng Gao; Wenjing Hu; Pengcheng Yin; Victor Zhong; Caiming Xiong; et al. (ICLR, 2025)

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? - John Yang 002; Carlos E. Jimenez; Alex L. Zhang; Kilian Lieret; Joyce Yang; Xindi Wu; Ori Press; Niklas Muennighoff; Gabriel Synnaeve; Karthik R. Narasimhan; Diyi Yang; Sida Wang 001; et al. (ICLR, 2025)

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution. - Yuxiang Wei 003; Olivier Duchenne; Jade Copet; Quentin Carbonneaux; Lingming Zhang 001; Daniel Fried; Gabriel Synnaeve; Rishabh Singh; Sida I. Wang (CoRR, 2025)

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces. - Jordi Armengol-Estapé; Quentin Carbonneaux; Tianjun Zhang; Aram H. Markosyan; Volker Seeker; Chris Cummins; Melanie Kambadur; Michael F. P. O'Boyle; Sida I. Wang; Gabriel Synnaeve; Hugh James Leather (CoRR, 2025)