Sida I. Wang - RankMe

41 papers A* 9Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution. CoRR Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, Lingming Zhang, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida I. Wang
2025	J	`jnl`	Toward Training Superintelligent Software Agents through Self-Play SWE-RL. CoRR Yuxiang Wei, Zhiqing Sun, Emily McMilin, Jonas Gehring, David Zhang, Gabriel Synnaeve, Daniel Fried, Lingming Zhang, Sida I. Wang
2025	J	`jnl`	What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces. CoRR 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
2024	J	`jnl`	CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. CoRR Alex Gu, Baptiste Rozière, Hugh Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida I. Wang
2024	J	`jnl`	SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? CoRR 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
2024	J	`jnl`	Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. CoRR 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 I. Wang, Tao Yu
2024	A*	`conf`	Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? NeurIPS Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
2023	J	`jnl`	Accessing Higher Dimensions for Unsupervised Word Translation. CoRR Sida I. Wang
2023	A*	`conf`	DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. ICML Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu
2023	A*	`conf`	LEVER: Learning to Verify Language-to-Code Generation with Execution. ICML Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	J	`jnl`	LEVER: Learning to Verify Language-to-Code Generation with Execution. CoRR Ansong Ni, Srini Iyer, Dragomir Radev, Ves Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin
2023	—	`conf`	Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. ACL (1) Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
2023	J	`jnl`	Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing. CoRR Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih, Ziyu Yao
2022	—	`conf`	BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. NAACL-HLT (Findings) Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad
2022	J	`jnl`	Coder Reviewer Reranking for Code Generation. CoRR Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang
2022	J	`jnl`	DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. CoRR Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu
2022	A*	`conf`	Natural Language to Code Translation with Execution. EMNLP Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang
2022	J	`jnl`	Natural Language to Code Translation with Execution. CoRR Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang
2022	A*	`conf`	UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 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
2022	J	`jnl`	UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR 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
2021	—	`conf`	Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. ACL/IJCNLP (1) Haoyue Shi, Luke Zettlemoyer, Sida I. Wang
2021	J	`jnl`	Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. CoRR Haoyue Shi, Luke Zettlemoyer, Sida I. Wang
2021	J	`jnl`	BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation. CoRR Eleftheria Briakou, Sida I. Wang, Luke Zettlemoyer, Marjan Ghazvininejad
2021	A*	`conf`	SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2021	J	`jnl`	SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2020	—	`conf`	Grounded Adaptation for Zero-shot Executable Semantic Parsing. EMNLP (1) Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
2020	J	`jnl`	Grounded Adaptation for Zero-shot Executable Semantic Parsing. CoRR Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
2020	A*	`conf`	Interactive Classification by Asking Informative Questions. ACL Lili Yu, Howard Chen, Sida I. Wang, Tao Lei, Yoav Artzi
2020	J	`jnl`	Pre-training via Paraphrasing. CoRR Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, Armen Aghajanyan, Sida I. Wang, Luke Zettlemoyer
2018	A*	`conf`	Simple Recurrent Units for Highly Parallelizable Recurrence. EMNLP Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi
2017	—	`conf`	Data Noising as Smoothing in Neural Network Language Models. ICLR (Poster) Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng
2017	J	`jnl`	Data Noising as Smoothing in Neural Network Language Models. CoRR Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng
2017	—	`—`	Learning adaptive language interfaces through interaction. Sida I. Wang
2017	—	`conf`	Naturalizing a Programming Language via Interactive Learning. ACL (1) Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning
2017	J	`jnl`	Naturalizing a Programming Language via Interactive Learning. CoRR Sida I. Wang, Samuel Ginn, Percy Liang, Christopher D. Manning
2016	J	`jnl`	Estimating Mixture Models via Mixtures of Polynomials. CoRR Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang
2016	—	`conf`	Learning Language Games through Interaction. ACL (1) Sida I. Wang, Percy Liang, Christopher D. Manning
2016	J	`jnl`	Learning Language Games through Interaction. CoRR Sida I. Wang, Percy Liang, Christopher D. Manning
2014	J	`jnl`	A sub-constant improvement in approximating the positive semidefinite Grothendieck problem. CoRR Roy Frostig, Sida I. Wang
2014	A*	`conf`	Human Effort and Machine Learnability in Computer Aided Translation. EMNLP Spence Green, Sida I. Wang, Jason Chuang, Jeffrey Heer, Sebastian Schuster, Christopher D. Manning
2014	—	`conf`	Relaxations for inference in restricted Boltzmann machines. ICLR (Workshop) Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning