Sida Wang

28 papers A* 8A 1Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
CWM: An Open-Weights LLM for Research on Code Generation with World Models.
CoRR
FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve
2025 A* conf
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.
ICLR
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
2025 A* conf
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
ICLR
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 Wang, Ofir Press
2025 A* conf
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
ICLR
Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu
2025 J jnl
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models.
CoRR
Long Lian, Sida Wang, Felix Juefei-Xu, Tsu-Jui Fu, Xiuyu Li, Adam Yala, Trevor Darrell, Alane Suhr, Yuandong Tian, Xi Victoria Lin
2024 A* conf
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.
ICML
Alex Gu, Baptiste Rozière, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang
2024 J jnl
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.
CoRR
Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
2024 J jnl
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
CoRR
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
2023 A* conf
Coder Reviewer Reranking for Code Generation.
ICML
Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida Wang
2023 A* conf
InCoder: A Generative Model for Code Infilling and Synthesis.
ICLR
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis
2022 J jnl
InCoder: A Generative Model for Code Infilling and Synthesis.
CoRR
Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Wen-tau Yih, Luke Zettlemoyer, Mike Lewis
2022 — conf
On Continual Model Refinement in Out-of-Distribution Data Streams.
ACL (1)
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih
2022 J jnl
On Continual Model Refinement in Out-of-Distribution Data Streams.
CoRR
Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih
2021 A conf
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms.
AISTATS
Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal
2021 J jnl
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms.
CoRR
Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal
2020 A* conf
Pre-training via Paraphrasing.
NeurIPS
Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida Wang, Luke Zettlemoyer
2019 J jnl
Interactive Classification by Asking Informative Questions.
CoRR
Lili Yu, Howard Chen, Sida Wang, Yoav Artzi, Tao Lei
2015 — conf
Estimating Mixture Models via Mixtures of Polynomials.
NIPS
Sida Wang, Arun Tejasvi Chaganty, Percy Liang
2014 — conf
Altitude Training: Strong Bounds for Single-Layer Dropout.
NIPS
Stefan Wager, William Fithian, Sida Wang, Percy Liang
2014 J jnl
Altitude Training: Strong Bounds for Single-Layer Dropout.
CoRR
Stefan Wager, William Fithian, Sida Wang, Percy Liang
2014 — conf
Simple MAP Inference via Low-Rank Relaxations.
NIPS
Roy Frostig, Sida Wang, Percy Liang, Christopher D. Manning
2013 — conf
Dropout Training as Adaptive Regularization.
NIPS
Stefan Wager, Sida Wang, Percy Liang
2013 J jnl
Dropout Training as Adaptive Regularization.
CoRR
Stefan Wager, Sida Wang, Percy Liang
2013 — conf
Fast and Adaptive Online Training of Feature-Rich Translation Models.
ACL (1)
Spence Green, Sida Wang, Daniel M. Cer, Christopher D. Manning
2013 — conf
Fast dropout training.
ICML (2)
Sida Wang, Christopher D. Manning
2013 A* conf
Feature Noising for Log-Linear Structured Prediction.
EMNLP
Sida Wang, Mengqiu Wang, Stefan Wager, Percy Liang, Christopher D. Manning
2013 — conf
Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task.
WMT@ACL
Spence Green, Daniel M. Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert, Christopher D. Manning
2012 — conf
Baselines and Bigrams: Simple, Good Sentiment and Topic Classification.
ACL (2)
Sida Wang, Christopher D. Manning