---
title: "Sida Wang — all works — Elamur Research"
description: "All 38 works of Sida Wang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/sida-wang/works/"
---
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# Sida Wang — all works

38 works · [← Sida Wang](https://md.research.elamur.ai/free/en/authors/sida-wang/)

1. **[Baselines and Bigrams: Simple, Good Sentiment and Topic Classification](https://md.research.elamur.ai/free/en/papers/wang-2012-baselines-bigrams-simple-good-sentiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sida Wang, Christopher Manning*2012 · 1,136 citations*
2. [**LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code arXiv:2403.07974**Naman Jain, King Han, Alex Gu, et al.*2024 · 578 citations*](https://md.research.elamur.ai/free/en/papers/jain-2024-livecodebench-holistic-contamination-free-evaluation/)
3. **[UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://md.research.elamur.ai/free/en/papers/xie-2022-unifiedskg-unifying-multi-tasking-structured/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianbao Xie, Chen Henry Wu, Peng Shi, et al.*2022 · 407 citations*
4. **[Simple Recurrent Units for Highly Parallelizable Recurrence ↗](https://aclanthology.org/D18-1477/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tao Lei et al.*2018 · 320 citations*
5. **[InCoder: A Generative Model for Code Infilling and Synthesis ↗](https://arxiv.org/abs/2204.05999) arXiv:2204.05999 · no summary yet**Daniel Fried et al.*2023 · 300 citations*
6. **[Fast dropout training ↗](https://openalex.org/W35527955) no summary yet**Sida Wang, Christopher D. Manning*2013 · 277 citations*
7. **[Dropout Training as Adaptive Regularization ↗](https://arxiv.org/abs/1307.1493) arXiv (Cornell University) · no summary yet**Stefan Wager, Sida Wang, Percy Liang*2013 · 271 citations*
8. **[Data Noising as Smoothing in Neural Network Language Models ↗](https://arxiv.org/abs/1703.02573) arXiv (Cornell University) · no summary yet**Ziang Xie et al.*2017 · 269 citations*
9. **[DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation ↗](https://arxiv.org/abs/2211.11501) arXiv:2211.11501 · no summary yet**Yuhang Lai et al.*2022 · 199 citations*
10. **[Learning Language Games through Interaction ↗](https://aclanthology.org/P16-1224/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Sida I. Wang, Percy Liang, Christopher D. Manning*2016 · 194 citations*
11. [**Pre-training via Paraphrasing arXiv:2006.15020**Mike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.*2020 · 187 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2020-pre-training-paraphrasing/)
12. **[Grounded Adaptation for Zero-shot Executable Semantic Parsing](https://md.research.elamur.ai/free/en/papers/zhong-2020-grounded-adaptation-zero-shot-executable/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Victor Zhong, Mike Lewis, Sida I. Wang, et al.*2020 · 136 citations*
13. [**LEVER: Learning to Verify Language-to-Code Generation with Execution arXiv:2302.08468**Ansong Ni, Srini Iyer, Dragomir Radev, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/ni-2023-lever-learning-verify-language-code/)
14. [**CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution arXiv:2401.03065**Alex Gu, Baptiste Rozière, Hugh Leather, et al.*2024 · 122 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-cruxeval-benchmark-code-reasoning-understanding/)
15. **[Natural Language to Code Translation with Execution ↗](https://aclanthology.org/2022.emnlp-main.231/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Freda Shi et al.*2022 · 116 citations*
16. **[Human Effort and Machine Learnability in Computer Aided Translation ↗](https://aclanthology.org/D14-1130/) Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Spence Green et al.*2014 · 105 citations*
17. **[Naturalizing a Programming Language via Interactive Learning ↗](https://aclanthology.org/P17-1086/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Sida I. Wang et al.*2017 · 87 citations*
18. **[SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution ↗](https://arxiv.org/abs/2502.18449) arXiv:2502.18449 · no summary yet**Yuxiang Wei et al.*2025 · 64 citations*
19. **[Fast and Adaptive Online Training of Feature-Rich Translation Models ↗](https://aclanthology.org/P13-1031/) Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Spence Green et al.*2013 · 57 citations*
20. **[Coder Reviewer Reranking for Code Generation ↗](https://arxiv.org/abs/2211.16490) arXiv:2211.16490 · no summary yet**Tianyi Zhang et al.*2022 · 52 citations*
21. **[SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? ↗](https://arxiv.org/abs/2410.03859) arXiv (Cornell University) · no summary yet**John Jeongseok Yang et al.*2024 · 48 citations*
22. **[Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment ↗](https://doi.org/10.18653/v1/2021.acl-long.67) ACL-IJCNLP 2021 (online) · no summary yet**Haoyue Shi, Luke Zettlemoyer, Sida I. Wang*2021 · 43 citations*
23. **[Feature Noising for Log-Linear Structured Prediction ↗](https://aclanthology.org/D13-1117/) Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sida Wang et al.*2013 · 37 citations*
24. **[Altitude Training: Strong Bounds for Single-Layer Dropout ↗](https://arxiv.org/abs/1407.3289) arXiv (Cornell University) · no summary yet**Stefan Wager et al.*2014 · 18 citations*
25. **[Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task ↗](https://aclanthology.org/W13-2217/) Proceedings of the Eighth Workshop on Statistical Machine Translation · no summary yet**Spence Green et al.*2013 · 10 citations*
26. **[BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation ↗](https://aclanthology.org/2022.findings-naacl.110/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Eleftheria Briakou et al.*2022 · 9 citations*
27. **[SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark ↗](https://openalex.org/W3214506775) neural information processing systems · no summary yet**Victor W. Zhong et al.*2021 · 9 citations*
28. **[SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark ↗](https://arxiv.org/abs/2110.10661) arXiv (Cornell University) · no summary yet**Zhong, Victor et al.*2021 · 7 citations*
29. **[Simple MAP Inference via Low-Rank Relaxations ↗](https://openalex.org/W2152045836) no summary yet**Roy Frostig et al.*2014 · 7 citations*
30. **[Relaxations for inference in restricted Boltzmann machines ↗](https://arxiv.org/abs/1312.6205) arXiv (Cornell University) · no summary yet**Sida Wang et al.*2013 · 3 citations*
31. **[ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models ↗](https://arxiv.org/abs/2512.07843) arXiv (Cornell University) · no summary yet**Lian, Long et al.*2025 · 1 citation*
32. **[Estimating Mixture Models via Mixtures of Polynomials ↗](https://arxiv.org/abs/1603.08482) arXiv (Cornell University) · no summary yet**Sida Wang, Arun Tejasvi Chaganty, Percy Liang*2016 · 1 citation*
33. **[Improvements That Don’t Add Up: Ad-Hoc Retrieval Results Since 1998 ↗](https://openalex.org/W7098507998) no summary yet**Sida Wang et al.*2016 · 1 citation*
34. **[Fast dropout training for logistic regression ↗](https://openalex.org/W7099207585) no summary yet**Sida Wang, Christopher D. Manning*2012 · 1 citation*
35. **[and Machine Learnability in Computer Aided Translation ↗](https://openalex.org/W2188206703) no summary yet**Spence Green et al.*2014*
36. **[Fast deterministic dropout training NIPS workshop ↗](https://openalex.org/W7095380654) no summary yet**Sida Wang, Christopher D. Manning*2014*
37. **[• Part 1: Dropout as adaptive regularization ↗](https://openalex.org/W7097994560) no summary yet**Sida Wang et al.*2014*
38. **[on Statistical Machine Translation Shared ↗](https://openalex.org/W7096969387) no summary yet**Spence Green et al.*2013*