🧑‍🔬 Srini Iyer

🏛️ Affiliations

🎓University of WashingtonSeattle · United States2016–2026 · 17 paperscurrent🎓Stanford UniversityStanford · United States2012–2015 · 12 papers🏢MetaMenlo Park · United States2020–2025 · 10 papers🏢MetaLondon · United Kingdom2020–2025 · 6 papers🎓University of North Carolina at Chapel HillChapel Hill · United States2021–2023 · 2 papers🎓Toyota Technological Institute at ChicagoChicago · United States2022 · 2 papers🎓Yale UniversityNew Haven · United States2021–2022 · 2 papers🏥Stanford MedicineStanford · United States2013 · 2 papers🎓Manipal Academy of Higher EducationManipal · India2022Employment since 2022 · Associate professor, Commerce

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Demystifying Prompts in Language Models via Perplexity Estimation (2022 · 213 citations)
   Prompts that look equally reasonable to a human can produce very different results from a large language model.
2. LEVER: Learning to Verify Language-to-Code Generation with Execution (2023 · 126 citations)
   Code-oriented large language models can turn natural-language requests into programs, but their single best guess is often wrong.

All works

21 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. LIMA: Less Is More for Alignment ↗arXiv:2305.11206 · no summary yetChunting Zhou et al.2023 · 1,022 citations
2. Summarizing Source Code using a Neural Attention Model ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSrinivasan Iyer et al.2016 · 800 citations
3. Learning a Neural Semantic Parser from User Feedback ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSrinivasan Iyer et al.2017 · 472 citations
4. Demystifying Prompts in Language Models via Perplexity EstimationarXiv:2212.04037Hila Gonen, Srini Iyer, Terra Blevins, et al.2022 · 213 citations
5. Efficient One-Pass End-to-End Entity Linking for Questions ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetBelinda Z. Li et al.2020 · 172 citations
6. Learning to Map Context-Dependent Sentences to Executable Formal Queries ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetAlane Suhr, Srinivasan Iyer, Yoav Artzi2018 · 139 citations
7. LEVER: Learning to Verify Language-to-Code Generation with ExecutionarXiv:2302.08468Ansong Ni, Srini Iyer, Dragomir Radev, et al.2023 · 126 citations
8. Byte Latent Transformer: Patches Scale Better Than Tokens ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetArtidoro Pagnoni et al.2025 · 73 citations
9. DeLighT: Deep and Light-weight Transformer ↗arXiv (Cornell University) · no summary yetSachin Mehta et al.2020 · 64 citations
10. Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs ↗arXiv:2111.13654 · no summary yetPeter Hase et al.2021 · 60 citations
11. Learning Programmatic Idioms for Scalable Semantic Parsing ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetSrinivasan Iyer, Alvin Cheung, Luke Zettlemoyer2019 · 48 citations
12. Instruction-tuned Language Models are Better Knowledge Learners ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhengbao Jiang et al.2024 · 47 citations
13. Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models ↗arXiv:2411.04996 · Transactions on Machine Learning Research (2025), ISSN: 2835-8856 · no summary yetWeixin Liang et al.2024 · 25 citations
14. Neural Semantic Parsing ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yetMatt Gardner et al.2018 · 23 citations
15. MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts ↗arXiv (Cornell University) · no summary yetXi Lin et al.2024 · 21 citations
16. ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetDavid Wan et al.2024 · 20 citations
17. Scaling Test-Time Compute for Agentic Coding ↗arXiv (Cornell University) · no summary yetJoongwon Kim et al.2026 · 3 citations
18. Fast Byte Latent Transformer ↗arXiv (Cornell University) · no summary yetJulie Kallini et al.2026 · 1 citation
19. Compute Optimal Tokenization ↗arXiv (Cornell University) · no summary yetTomasz Limisiewicz et al.2026 · 1 citation
20. Latent Speech-Text Transformer ↗arXiv (Cornell University) · no summary yetYen-Ju Lu et al.2025 · 1 citation
21. Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models ↗arXiv (Cornell University) · no summary yetKalyani Marathe et al.2026

🤝 Co-authors here

10 co-authors with a page, the most papers together first.

• Ansong Ni
• Dragomir Radev
• Hila Gonen
• Luke Zettlemoyer
• Noah A. Smith
• Sida Wang
• Terra Blevins
• Ves Stoyanov
• Wen-tau Yih
• Xi Victoria Lin

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×5
• Conference on Empirical Methods in Natural Language Processing (EMNLP) ×3
• Conference of the European Chapter of the Association for Computational Linguistics (EACL)
• Findings of the Association for Computational Linguistics
• Findings of the Association for Computational Linguistics: ACL 2024
• Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
• Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts

🔗 Cited by

Papers of our library cite their works 2,273 times (of the 149,439 papers whose bibliographies we read); 477 citing papers with a page here →.

Updated 2 November 2026

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