Tushar Khot
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
58
Venues
15
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
58 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. | Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2025 | NAACL | Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision. | Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra, Harshit Surana, Julian J. McAuley, Peter Clark, Bodhisattwa Prasad Majumder |
| 2024 | ACL | OLMo: Accelerating the Science of Language Models. | Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi |
| 2024 | ACL | AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents. | Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian |
| 2024 | EMNLP | SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. | Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot |
| 2024 | ICLR | Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. | Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot |
| 2024 | NAACL | ADaPT: As-Needed Decomposition and Planning with Language Models. | Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot |
| 2023 | ACL | The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. | Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang |
| 2023 | ACL | Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. | Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal |
| 2023 | ICLR | Complexity-Based Prompting for Multi-step Reasoning. | Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot |
| 2023 | ICLR | Decomposed Prompting: A Modular Approach for Solving Complex Tasks. | Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal |
| 2023 | ICML | Specializing Smaller Language Models towards Multi-Step Reasoning. | Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot |
| 2022 | ACL | Hey AI, Can You Solve Complex Tasks by Talking to Agents? | Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal |
| 2022 | EMNLP | Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts. | Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal |
| 2022 | NAACL | Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. | Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi |
| 2021 | ACL | ReadOnce Transformers: Reusable Representations of Text for Transformers. | Shih-Ting Lin, Ashish Sabharwal, Tushar Khot |
| 2021 | ACL | Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? | Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang |
| 2021 | EMNLP | GooAQ: Open Question Answering with Diverse Answer Types. | Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch |
| 2021 | NAACL | Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. | Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal |
| 2021 | NAACL | Temporal Reasoning on Implicit Events from Distant Supervision. | Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2020 | AAAI | QASC: A Dataset for Question Answering via Sentence Composition. | Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal |
| 2020 | EMNLP | IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. | James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi |
| 2020 | EMNLP | A Simple Yet Strong Pipeline for HotpotQA. | Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal |
| 2020 | EMNLP | More Bang for Your Buck: Natural Perturbation for Robust Question Answering. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal |
| 2020 | EMNLP | UnifiedQA: Crossing Format Boundaries With a Single QA System. | Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi |
| 2020 | EMNLP | UNQOVERing Stereotypical Biases via Underspecified Questions. | Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar |
| 2020 | EMNLP | Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning. | Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal |
| 2019 | ACL | Exploiting Explicit Paths for Multi-hop Reading Comprehension. | Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2019 | EMNLP | What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. | Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2019 | NAACL | Repurposing Entailment for Multi-Hop Question Answering Tasks. | Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian |
| 2018 | AAAI | Question Answering as Global Reasoning Over Semantic Abstractions. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2018 | AAAI | SciTaiL: A Textual Entailment Dataset from Science Question Answering. | Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2018 | ACL | AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples. | Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Eduard H. Hovy |
| 2018 | EMNLP | Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. | Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2018 | EMNLP | Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. | Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal |
| 2018 | KR | Structure Learning for Relational Logistic Regression: An Ensemble Approach. | Nandini Ramanan, Gautam Kunapuli, Tushar Khot, Bahare Fatemi, Seyed Mehran Kazemi, David Poole, Kristian Kersting, Sriraam Natarajan |
| 2017 | ACL | Answering Complex Questions Using Open Information Extraction. | Tushar Khot, Ashish Sabharwal, Peter Clark |
| 2017 | CoNLL | Learning What is Essential in Questions. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Dan Roth |
| 2017 | ILP | Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach. | Navdeep Kaur, Gautam Kunapuli, Tushar Khot, Kristian Kersting, William Cohen, Sriraam Natarajan |
| 2016 | AAAI | Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions. | Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter D. Turney, Daniel Khashabi |
| 2016 | AAAI | Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. | Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan |
| 2016 | IJCAI | Question Answering via Integer Programming over Semi-Structured Knowledge. | Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Peter Clark, Oren Etzioni, Dan Roth |
| 2016 | ILP | Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks. | Marcin Malec, Tushar Khot, James G. Nagy, Erik Blask, Sriraam Natarajan |
| 2016 | SDM | Scaling Lifted Probabilistic Inference and Learning Via Graph Databases. | Mayukh Das, Yuqing Wu, Tushar Khot, Kristian Kersting, Sriraam Natarajan |
| 2015 | AAAI | Knowledge-Based Probabilistic Logic Learning. | Phillip Odom, Tushar Khot, Reid B. Porter, Sriraam Natarajan |
| 2015 | AIME | Extracting Adverse Drug Events from Text Using Human Advice. | Phillip Odom, Vishal Bangera, Tushar Khot, David Page, Sriraam Natarajan |
| 2015 | EMNLP | Exploring Markov Logic Networks for Question Answering. | Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff, Ashish Sabharwal, Peter Clark, Oren Etzioni |
| 2015 | FlAIRS | Anomaly Detection in Text: The Value of Domain Knowledge. | Raksha Kumaraswamy, Anurag Wazalwar, Tushar Khot, Jude W. Shavlik, Sriraam Natarajan |
| 2014 | AAAI | Relational One-Class Classification: A Non-Parametric Approach. | Tushar Khot, Sriraam Natarajan, Jude W. Shavlik |
| 2014 | AAAI | Classification from One Class of Examples for Relational Domains. | Tushar Khot, Sriraam Natarajan, Jude W. Shavlik |
| 2014 | ICDM | Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. | Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan |
| 2014 | ILP | Effectively Creating Weakly Labeled Training Examples via Approximate Domain Knowledge. | Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher R, Jude W. Shavlik |
| 2014 | ILP | Statistical Relational Learning for Handwriting Recognition. | Arti Shivram, Tushar Khot, Sriraam Natarajan, Venu Govindaraju |
| 2013 | AAAI | Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text. | Sriraam Natarajan, Jose Picado, Tushar Khot, Kristian Kersting, Christopher R, Jude W. Shavlik |
| 2013 | ILP | Accelerating Imitation Learning in Relational Domains via Transfer by Initialization. | Sriraam Natarajan, Phillip Odom, Saket Joshi, Tushar Khot, Kristian Kersting, Prasad Tadepalli |
| 2012 | ICMLA | A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. | Sriraam Natarajan, Saket Joshi, Baidya Nath Saha, Adam Edwards, Tushar Khot, Elizabeth Moody, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian |
| 2011 | ICDM | Learning Markov Logic Networks via Functional Gradient Boosting. | Tushar Khot, Sriraam Natarajan, Kristian Kersting, Jude W. Shavlik |
| 2010 | AAAI | Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. | Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik |