🧑‍🔬 Srinivasan Iyer — all works

27 works · ← Srinivasan Iyer

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. Neural AMR: Sequence-to-Sequence Models for Parsing and GenerationIoannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.Machine translation · 425 citations
5. Mapping Language to Code in Programmatic Context ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetSrinivasan Iyer et al.2018 · 260 citations
6. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationarXiv:2212.12017Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 244 citations
7. Demystifying Prompts in Language Models via Perplexity Estimation ↗arXiv:2212.04037 · no summary yetHila Gonen et al.2022 · 213 citations
8. 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
9. 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
10. Efficient Large Scale Language Modeling with Mixtures of Experts ↗arXiv:2112.10684 · no summary yetMikel Artetxe et al.2021 · 113 citations
11. Complementary Explanations for Effective In-Context LearningFindings of the Association for Computational LinguisticsXi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.2023 · 106 citations
12. JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer2019 · 75 citations
13. 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
14. DeLighT: Deep and Light-weight Transformer ↗arXiv (Cornell University) · no summary yetSachin Mehta et al.2020 · 64 citations
15. 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
16. Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Peter Hase, Mona Diab, Asli Celikyilmaz, et al.2023 · 51 citations
17. 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
18. 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
19. 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
20. 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
21. MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts ↗arXiv (Cornell University) · no summary yetXi Lin et al.2024 · 21 citations
22. 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
23. Scaling Test-Time Compute for Agentic Coding ↗arXiv (Cornell University) · no summary yetJoongwon Kim et al.2026 · 3 citations
24. Fast Byte Latent Transformer ↗arXiv (Cornell University) · no summary yetJulie Kallini et al.2026 · 1 citation
25. Compute Optimal Tokenization ↗arXiv (Cornell University) · no summary yetTomasz Limisiewicz et al.2026 · 1 citation
26. Latent Speech-Text Transformer ↗arXiv (Cornell University) · no summary yetYen-Ju Lu et al.2025 · 1 citation
27. Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models ↗arXiv (Cornell University) · no summary yetKalyani Marathe et al.2026

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