---
title: "Tushar Khot — all works — Elamur Research"
description: "All 33 works of Tushar Khot in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/tushar-khot/works/"
---
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# Tushar Khot — all works

33 works · [← Tushar Khot](https://md.research.elamur.ai/free/en/authors/tushar-khot/)

1. [**Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge arXiv:1803.05457**Peter Clark, Isaac Cowhey, Oren Etzioni, et al.*2018 · 2,394 citations*](https://md.research.elamur.ai/free/en/papers/clark-2018-think-have-solved-question-answering/)
2. **[Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering ↗](https://aclanthology.org/D18-1260/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Todor Mihaylov et al.*2018 · 1,687 citations*
3. **[UNIFIEDQA: Crossing Format Boundaries with a Single QA System](https://md.research.elamur.ai/free/en/papers/khashabi-2020-unifiedqa-crossing-format-boundaries-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Khashabi, Sewon Min, Tushar Khot, et al.*2020 · 857 citations*
4. **[Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies ↗](https://aclanthology.org/2021.tacl-1.21/) Transactions of the Association for Computational Linguistics · no summary yet**Mor Geva et al.*2021 · 780 citations*
5. **[Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions](https://md.research.elamur.ai/free/en/papers/trivedi-2022-interleaving-retrieval-chain-thought-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.*2022 · 716 citations*
6. **[OLMo: Accelerating the Science of Language Models ↗](https://aclanthology.org/2024.acl-long.841/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dirk Groeneveld et al.*2024 · 429 citations*
7. **[Decomposed Prompting: A Modular Approach for Solving Complex Tasks](https://md.research.elamur.ai/free/en/papers/khot-2022-decomposed-prompting-modular-approach/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Tushar Khot, Harsh Trivedi, Matthew Finlayson, et al.*2023 · 390 citations*
8. **[♫ MuSiQue: Multihop Questions via Single-hop Question Composition](https://md.research.elamur.ai/free/en/papers/trivedi-2022-musique-multihop-questions-single-hop/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.*2022 · 390 citations*
9. [**Complexity-Based Prompting for Multi-Step Reasoning arXiv:2210.00720**Yao Fu, Hao Peng, Ashish Sabharwal, et al.*2022 · 345 citations*](https://md.research.elamur.ai/free/en/papers/fu-2022-complexity-based-prompting-multi-step/)
10. **[How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources](https://md.research.elamur.ai/free/en/papers/wang-2023-far-camels-go-exploring-state/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.*2023 · 317 citations*
11. [**Specializing Smaller Language Models towards Multi-Step Reasoning arXiv:2301.12726**Yao Fu, Hao Peng, Litu Ou, et al.*2023 · 224 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-specializing-smaller-language-models-towards/)
12. **[Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions ↗](https://doi.org/10.1609/aaai.v30i1.10325) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Peter E. Clark et al.*2016 · 191 citations*
13. **[UNQOVERing Stereotyping Biases via Underspecified Questions](https://md.research.elamur.ai/free/en/papers/li-2020-unqovering-stereotyping-biases-underspecified-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tao Li, Daniel Khashabi, Tushar Khot, et al.*2020 · 145 citations*
14. **[Answering Complex Questions Using Open Information Extraction](https://md.research.elamur.ai/free/en/papers/khot-2017-answering-complex-questions-open-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tushar Khot, Ashish Sabharwal, Peter Clark*2017 · 134 citations*
15. [**Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback arXiv:2305.10142**Yao Fu, Hao Peng, Tushar Khot, et al.*2023 · 132 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-improving-language-model-negotiation-self/)
16. **[Question Answering via Integer Programming over Semi-Structured Knowledge ↗](https://arxiv.org/abs/1604.06076) arXiv (Cornell University) · no summary yet**Daniel Khashabi et al.*2016 · 117 citations*
17. **[Temporal Reasoning on Implicit Events from Distant Supervision ↗](https://aclanthology.org/2021.naacl-main.107/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Ben Zhou et al.*2021 · 111 citations*
18. **[Question Answering as Global Reasoning Over Semantic Abstractions ↗](https://doi.org/10.1609/aaai.v32i1.11574) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Daniel Khashabi et al.*2018 · 107 citations*
19. **[More Bang for Your Buck: Natural Perturbation for Robust Question Answering ↗](https://aclanthology.org/2020.emnlp-main.12/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Daniel Khashabi, Tushar Khot, Ashish Sabharwal*2020 · 102 citations*
20. **[Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models](https://md.research.elamur.ai/free/en/papers/khot-2021-text-modular-networks-learning-decompose/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tushar Khot, Daniel Khashabi, Kyle Richardson, et al.*2021 · 95 citations*
21. **[AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples ↗](https://aclanthology.org/P18-1225/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dongyeop Kang et al.*2018 · 94 citations*
22. [**Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs arXiv:2311.04892**Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, et al.*2023 · 91 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2023-bias-runs-deep-implicit-reasoning/)
23. **[ADaPT: As-Needed Decomposition and Planning with Language Models](https://md.research.elamur.ai/free/en/papers/prasad-2024-adapt-as-needed-decomposition-planning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Archiki Prasad, Alexander Koller, Mareike Hartmann, et al.*2024 · 89 citations*
24. **[AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents](https://md.research.elamur.ai/free/en/papers/trivedi-2024-appworld-controllable-world-apps-people/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Performance arXiv:2305.17306**Yao Fu, Litu Ou, Mingyu Chen, et al.*2023 · 72 citations*](https://md.research.elamur.ai/free/en/papers/fu-2023-chain-thought-hub-continuous-effort/)
26. **[Learning What is Essential in Questions ↗](https://aclanthology.org/K17-1010/) Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) · no summary yet**Daniel Khashabi et al.*2017 · 59 citations*
27. [**DiscoveryBench: Towards Data-Driven Discovery with Large Language Models arXiv:2407.01725**Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.*2024 · 55 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2024-discoverybench-data-driven-discovery/)
28. **[Exploring Markov Logic Networks for Question Answering ↗](https://aclanthology.org/D15-1080/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tushar Khot et al.*2015 · 55 citations*
29. **[From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project ↗](https://arxiv.org/abs/1909.01958) arXiv:1909.01958 · no summary yet**Peter Clark et al.*2019 · 48 citations*
30. **[DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents ↗](https://arxiv.org/abs/2406.06769) arXiv:2406.06769 · no summary yet**Peter Jansen et al.*2024 · 43 citations*
31. **[On the Capabilities and Limitations of Reasoning for Natural Language Understanding. ↗](https://arxiv.org/abs/1901.02522) arXiv (Cornell University) · no summary yet**Daniel Khashabi et al.*2019 · 22 citations*
32. **[Markov Logic Networks for Natural Language Question Answering ↗](https://arxiv.org/abs/1507.03045) arXiv (Cornell University) · no summary yet**Tushar Khot et al.*2015 · 8 citations*
33. **[MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents](https://md.research.elamur.ai/free/en/papers/wolfson-2026-monaco-more-natural-complex-questions/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.*2026 · 5 citations*