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Karthik Narasimhan — all works

43 works · ← Karthik Narasimhan

  1. Tree of Thoughts: Deliberate Problem Solving with Large Language Models ↗arXiv:2305.10601 · no summary yetShunyu Yao et al.2023 · 2,671 citations
  2. ReAct: Synergizing Reasoning and Acting in Language ModelsarXiv:2210.03629Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.2022 · 2,591 citations
  3. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?arXiv:2310.06770Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 704 citations
  4. Language Understanding for Text-based Games Using Deep Reinforcement Learning ↗arXiv:1506.08941 · no summary yetKarthik Narasimhan, Tejas Kulkarni, Regina Barzilay2015 · 380 citations
  5. Toxicity in chatgpt: Analyzing persona-assigned language modelsFindings of the Association for Computational LinguisticsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 353 citations
  6. Cognitive Architectures for Language Agents ↗arXiv:2309.02427 · no summary yetTheodore R. Sumers et al.2023 · 189 citations
  7. Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetKarthik Narasimhan, Adam Yala, Regina Barzilay2016 · 183 citations
  8. τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World DomainsarXiv:2406.12045Shunyu Yao, Noah Shinn, Pedram Razavi, et al.2024 · 137 citations
  9. sk_p: a neural program corrector for MOOCs ↗ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH) · no summary yetYewen Pu et al.2016 · 121 citations
  10. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
  11. Nonparametric Spherical Topic Modeling with Word Embeddings ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetKayhan Batmanghelich et al.2016 · 98 citations
  12. Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetNicholas Locascio et al.2016 · 97 citations
  13. An Unsupervised Method for Uncovering Morphological Chains ↗Transactions of the Association for Computational Linguistics · no summary yetKarthik Narasimhan, Regina Barzilay, Tommi Jaakkola2015 · 88 citations
  14. τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment ↗arXiv:2506.07982 · no summary yetVictor Barres et al.2025 · 76 citations
  15. Anthropomorphization of AI: Opportunities and Risks ↗Proceedings of the Natural Legal Language Processing Workshop 2023 · no summary yetAmeet Deshpande et al.2023 · 67 citations
  16. Can Rationalization Improve Robustness? ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetHoward Chen et al.2022 · 59 citations
  17. Morphological Segmentation for Keyword Spotting ↗Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetKarthik Narasimhan et al.2014 · 52 citations
  18. SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? ↗arXiv (Cornell University) · no summary yetJohn Jeongseok Yang et al.2024 · 48 citations
  19. Self-Attention Networks Can Process Bounded Hierarchical Languages ↗arXiv:2105.11115 · no summary yetShunyu Yao et al.2021 · 43 citations
  20. Can Language Models Solve Olympiad Programming?arXiv:2404.10952Quan Shi, Michael Tang, Karthik Narasimhan, et al.2024 · 28 citations
  21. Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetShunyu Yao, Karthik Narasimhan, Matthew Hausknecht2021 · 26 citations
  22. C-STS: Conditional Semantic Textual Similarity ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetAmeet Deshpande et al.2023 · 25 citations
  23. COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
  24. Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting ↗arXiv (Cornell University) · no summary yetHoward Chen et al.2025 · 21 citations
  25. Unsupervised Learning of Morphological Forests ↗Transactions of the Association for Computational Linguistics · no summary yetJiaming Luo, Karthik Narasimhan, Regina Barzilay2017 · 16 citations
  26. LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks ↗Proceedings of the 31st International Conference on Computational Linguistics: Industry Track · no summary yetAkshara Prabhakar et al.2025 · 14 citations
  27. Contextual Experience Replay for Self-Improvement of Language Agents ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYitao Liu et al.2025 · 13 citations
  28. Controllable Text Generation with Language Constraints ↗arXiv (Cornell University) · no summary yetHoward Chen et al.2022 · 11 citations
  29. SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark ↗neural information processing systems · no summary yetVictor W. Zhong et al.2021 · 9 citations
  30. Deep Transfer in Reinforcement Learning by Language Grounding. ↗arXiv (Cornell University) · no summary yetKarthik Narasimhan, Regina Barzilay, Tommi Jaakkola2017 · 9 citations
  31. SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark ↗arXiv (Cornell University) · no summary yetZhong, Victor et al.2021 · 7 citations
  32. Humans are Missing from AI Coding Agent Research ↗arXiv (Cornell University) · no summary yetZora Z. Wang et al.2026 · 6 citations
  33. Referral Augmentation for Zero-Shot Information Retrieval ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetMichael Tang et al.2024 · 3 citations
  34. When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration ↗neural information processing systems · no summary yetQuan Shi et al.2025 · 2 citations
  35. Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning ↗arXiv (Cornell University) · no summary yetChengshuai Shi et al.2026
  36. An Unsupervised Method for Uncovering Morphological Chains (Open Access, Publisher's Version) ↗no summary yetKarthik Narasimhan, Regina Barzilay, Tommi Jaakkola2015

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