🧑‍🔬 Ashish Sabharwal — all works

52 works · ← Ashish Sabharwal

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. 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
5. Parsing Algebraic Word Problems into Equations ↗Transactions of the Association for Computational Linguistics · no summary yetRik Koncel-Kedziorski et al.2015 · 404 citations
6. Decomposed Prompting: A Modular Approach for Solving Complex Tasks ↗ICLR 2023 (arXiv 2210.02406) · no summary yetTushar Khot et al.2023 · 390 citations
7. ♫ 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
8. Complexity-Based Prompting for Multi-Step ReasoningarXiv:2210.00720Yao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 345 citations
9. Specializing Smaller Language Models towards Multi-Step ReasoningarXiv:2301.12726Yao Fu, Hao Peng, Litu Ou, et al.2023 · 224 citations
10. 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
11. LILA: A Unified Benchmark for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Swaroop Mishra, Matthew Finlayson, Pan Lu, et al.2022 · 179 citations
12. UNQOVERing Stereotyping Biases via Underspecified QuestionsFindings of the Association for Computational LinguisticsTao Li, Daniel Khashabi, Tushar Khot, et al.2020 · 145 citations
13. Answering Complex Questions Using Open Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Tushar Khot, Ashish Sabharwal, Peter Clark2017 · 134 citations
14. Question Answering via Integer Programming over Semi-Structured Knowledge ↗arXiv (Cornell University) · no summary yetDaniel Khashabi et al.2016 · 117 citations
15. 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
16. 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
17. 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
18. Probing Natural Language Inference Models through Semantic FragmentsProceedings of the AAAI Conference on Artificial IntelligenceKyle Richardson, Hai Hu, Lawrence S. Moss, et al.2019 · 102 citations
19. 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
20. 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
21. Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs ↗arXiv:2311.04892 · no summary yetShashank Gupta et al.2023 · 91 citations
22. 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
23. 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
24. Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ↗arXiv (Cornell University) · no summary yetStefano Ermon et al.2013 · 76 citations
25. Embed and Project: Discrete Sampling with Universal Hashing ↗no summary yetStefano Ermon et al.2013 · 62 citations
26. ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning ↗arXiv:2502.01100 · no summary yetBill Yuchen Lin et al.2025 · 60 citations
27. Low-density Parity Constraints for Hashing-Based Discrete Integration ↗no summary yetStefano Ermon et al.2014 · 60 citations
28. 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
29. What Does My QA Model Know? Devising Controlled Probes Using Expert KnowledgeTransactions of the Association for Computational Linguistics (TACL)Kyle Richardson, Ashish Sabharwal2020 · 58 citations
30. DiscoveryBench: Towards Data-Driven Discovery with Large Language Models ↗arXiv:2407.01725 · no summary yetBodhisattwa Prasad Majumder et al.2024 · 55 citations
31. 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
32. Improving Language Models via Plug-and-Play Retrieval FeedbackarXiv:2305.14002Wenhao Yu, Zhihan Zhang, Zhenwen Liang, et al.2023 · 54 citations
33. 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
34. IfQA: A Dataset for Open-domain Question Answering under Counterfactual PresuppositionsWenhao Yu, Meng Jiang, Peter Clark, et al.English · 26 citations
35. Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetErfan Sadeqi Azer et al.2020 · 26 citations
36. Adaptive Concentration Inequalities for Sequential Decision Problems ↗neural information processing systems · no summary yetShengjia Zhao et al.2016 · 26 citations
37. Belief Propagation Neural Networks ↗arXiv (Cornell University) · no summary yetJonathan Kuck et al.2020 · 25 citations
38. Exact Sampling with Integer Linear Programs and Random Perturbations ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetCarolyn Kim, Ashish Sabharwal, Stefano Ermon2016 · 25 citations
39. On the Capabilities and Limitations of Reasoning for Natural Language Understanding. ↗arXiv (Cornell University) · no summary yetDaniel Khashabi et al.2019 · 22 citations
40. AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite ↗arXiv:2510.21652 · no summary yetJonathan Bragg et al.2025 · 19 citations
41. Closing the Gap Between Short and Long XORs for Model Counting ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShengjia Zhao et al.2016 · 19 citations
42. Optimization With Parity Constraints: From Binary Codes to Discrete Integration ↗arXiv (Cornell University) · no summary yetStefano Ermon et al.2013 · 19 citations
43. Data-driven Discovery with Large Generative ModelsarXiv:2402.13610Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 15 citations
44. Designing Fast Absorbing Markov Chains ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetStefano Ermon et al.2014 · 15 citations
45. Beyond parity constraints: Fourier analysis of hash functions for inference ↗International Conference on Machine Learning · no summary yetTudor Achim, Ashish Sabharwal, Stefano Ermon2016 · 9 citations
46. Markov Logic Networks for Natural Language Question Answering ↗arXiv (Cornell University) · no summary yetTushar Khot et al.2015 · 8 citations
47. Adaptive Hashing for Model Counting. ↗Uncertainty in Artificial Intelligence · no summary yetJonathan Kuck et al.2019 · 7 citations
48. Accelerated Adaptive Markov Chain for Partition Function Computation ↗no summary yetStefano Ermon et al.2011 · 6 citations
49. 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
50. Approximating the Permanent by Sampling from Adaptive Partitions ↗arXiv (Cornell University) · no summary yetJonathan Kuck et al.2019 · 5 citations
51. Density Propagation and Improved Bounds on the Partition Function ↗no summary yetStefano Ermon et al.2012 · 1 citation
52. Discrete Integration by Decoding Binary Codes ↗no summary yetStefano Ermon et al.2013

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ashish-sabharwal/works/