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Siva Reddy — all works

37 works · ← Siva Reddy

  1. StarCoder: may the source be with you! ↗arXiv:2305.06161 · no summary yetRaymond Li et al.2023 · 732 citations
  2. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal DependenciesDaniel Zeman, Martin Popel, Milan Straka, et al.English · 604 citations
  3. Visually Grounded Reasoning across Languages and Cultures ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetFangyu Liu et al.2021 · 228 citations
  4. LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersarXiv:2404.05961Parishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 213 citations
  5. Transforming Dependency Structures to Logical Forms for Semantic Parsing ↗Transactions of the Association for Computational Linguistics · no summary yetSiva Reddy et al.2016 · 206 citations
  6. Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetRajarshi Das et al.2017 · 189 citations
  7. The Impact of Positional Encoding on Length Generalization in Transformers ↗arXiv:2305.19466 · no summary yetAmirhossein Kazemnejad et al.2023 · 134 citations
  8. Universal Semantic Parsing ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetSiva Reddy et al.2017 · 121 citations
  9. Learning Structured Natural Language Representations for Semantic Parsing ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJianpeng Cheng et al.2017 · 92 citations
  10. End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering ↗arXiv:2106.05346 · no summary yetDevendra Singh Sachan et al.2021 · 88 citations
  11. VinePPO: Refining Credit Assignment in RL Training of LLMs ↗arXiv:2410.01679 · no summary yetAmirhossein Kazemnejad et al.2024 · 63 citations
  12. Learning an Executable Neural Semantic ParserComputational LinguisticsJianpeng Cheng, Siva Reddy, Vijay Saraswat, et al.2019 · 63 citations
  13. In-Context Learning for Text Classification with Many Labels ↗Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP · no summary yetAristides Milios, Siva Reddy, Dzmitry Bahdanau2023 · 60 citations
  14. WebLINX: Real-World Website Navigation with Multi-Turn DialoguearXiv:2402.05930Xing Han Lu, Zden\vek Kasner, Siva Reddy2024 · 50 citations
  15. DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning ↗arXiv:2504.07128 · no summary yetSara Vera Marjanovic et al.2025 · 47 citations
  16. Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing ↗Proceedings of the 9th International Natural Language Generation conference · no summary yetShashi Narayan, Siva Reddy, Shay B. Cohen2016 · 36 citations
  17. Scope Ambiguities in Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Gaurav Kamath, Sebastian Schuster, Sowmya Vajjala, et al.2024 · 35 citations
  18. The BrowserGym Ecosystem for Web Agent Research ↗arXiv (Cornell University) · no summary yetThibault Le Sellier De Chezelles et al.2024 · 34 citations
  19. Evaluating In-Context Learning of Libraries for Code Generation ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetArkil Patel et al.2024 · 9 citations
  20. How to Get Your LLM to Generate Challenging Problems for Evaluation ↗arXiv (Cornell University) · no summary yetArkil Patel, Siva Reddy, Dzmitry Bahdanau2025 · 6 citations
  21. Compositional Generalization in Dependency Parsing ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetEmily Goodwin et al.2022 · 6 citations
  22. MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetArkil Patel et al.2023 · 5 citations
  23. BRIDGE: Predicting Human Task Completion Time From Model Performance ↗arXiv (Cornell University) · no summary yetFengyuan Liu et al.2026
  24. Forecasting Downstream Performance of LLMs With Proxy Metrics ↗arXiv (Cornell University) · no summary yetArkil Patel et al.2026

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