🧑‍🔬 Tushar Khot — all works

33 works · ← Tushar Khot

1. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning ChallengearXiv:1803.05457Peter Clark, Isaac Cowhey, Oren Etzioni, et al.2018 · 2,394 citations
2. Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetTodor Mihaylov et al.2018 · 1,687 citations
3. UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemFindings of the Association for Computational LinguisticsDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 857 citations
4. Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies ↗Transactions of the Association for Computational Linguistics · no summary yetMor Geva et al.2021 · 780 citations
5. Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.2022 · 716 citations
6. OLMo: Accelerating the Science of Language Models ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDirk Groeneveld et al.2024 · 429 citations
7. Decomposed Prompting: A Modular Approach for Solving Complex Tasks ↗ICLR 2023 (arXiv 2210.02406) · no summary yetTushar Khot et al.2023 · 390 citations
8. ♫ MuSiQue: Multihop Questions via Single-hop Question CompositionTransactions of the Association for Computational Linguistics (TACL)Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.2022 · 390 citations
9. Complexity-Based Prompting for Multi-Step ReasoningarXiv:2210.00720Yao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 345 citations
10. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesConference on Neural Information Processing Systems (NeurIPS)Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 317 citations
11. Specializing Smaller Language Models towards Multi-Step ReasoningarXiv:2301.12726Yao Fu, Hao Peng, Litu Ou, et al.2023 · 224 citations
12. Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetPeter E. Clark et al.2016 · 191 citations
13. UNQOVERing Stereotyping Biases via Underspecified QuestionsFindings of the Association for Computational LinguisticsTao Li, Daniel Khashabi, Tushar Khot, et al.2020 · 145 citations
14. Answering Complex Questions Using Open Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Tushar Khot, Ashish Sabharwal, Peter Clark2017 · 134 citations
15. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackarXiv:2305.10142Yao Fu, Hao Peng, Tushar Khot, et al.2023 · 132 citations
16. Question Answering via Integer Programming over Semi-Structured Knowledge ↗arXiv (Cornell University) · no summary yetDaniel Khashabi et al.2016 · 117 citations
17. Temporal Reasoning on Implicit Events from Distant Supervision ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetBen Zhou et al.2021 · 111 citations
18. Question Answering as Global Reasoning Over Semantic Abstractions ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDaniel Khashabi et al.2018 · 107 citations
19. More Bang for Your Buck: Natural Perturbation for Robust Question Answering ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetDaniel Khashabi, Tushar Khot, Ashish Sabharwal2020 · 102 citations
20. Text Modular Networks: Learning to Decompose Tasks in the Language of Existing ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tushar Khot, Daniel Khashabi, Kyle Richardson, et al.2021 · 95 citations
21. AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDongyeop Kang et al.2018 · 94 citations
22. Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs ↗arXiv:2311.04892 · no summary yetShashank Gupta et al.2023 · 91 citations
23. ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 89 citations
24. AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Harsh Trivedi, Tushar Khot, Mareike Hartmann, et al.2024 · 80 citations
25. Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning PerformancearXiv:2305.17306Yao Fu, Litu Ou, Mingyu Chen, et al.2023 · 72 citations
26. Learning What is Essential in Questions ↗Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) · no summary yetDaniel Khashabi et al.2017 · 59 citations
27. DiscoveryBench: Towards Data-Driven Discovery with Large Language Models ↗arXiv:2407.01725 · no summary yetBodhisattwa Prasad Majumder et al.2024 · 55 citations
28. Exploring Markov Logic Networks for Question Answering ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetTushar Khot et al.2015 · 55 citations
29. From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project ↗arXiv:1909.01958 · no summary yetPeter Clark et al.2019 · 48 citations
30. DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents ↗arXiv:2406.06769 · no summary yetPeter Jansen et al.2024 · 43 citations
31. On the Capabilities and Limitations of Reasoning for Natural Language Understanding. ↗arXiv (Cornell University) · no summary yetDaniel Khashabi et al.2019 · 22 citations
32. Markov Logic Networks for Natural Language Question Answering ↗arXiv (Cornell University) · no summary yetTushar Khot et al.2015 · 8 citations
33. MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of DocumentsTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.2026 · 5 citations

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