Ashish Sabharwal

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 140

Top Venues

CoRR

AAAI

EMNLP

Trans. Assoc. Comput. Linguistics

Publications

Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Closing the Curious Case of Neural Text Degeneration. ICLR (2024)
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models. CoRR (2024)
Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents. CoRR (2024)
Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark
Data-driven Discovery with Large Generative Models. CoRR (2024)
Lena Strobl, Dana Angluin, David Chiang, Jonathan Rawski, Ashish Sabharwal
Transformers as Transducers. CoRR (2024)
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-Context Learning for Semantic Parsing. NAACL-HLT (2024)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT (2024)
William Merrill, Jackson Petty, Ashish Sabharwal
The Illusion of State in State-Space Models. CoRR (2024)
Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions. CoRR (2024)
William Merrill, Ashish Sabharwal
The Expressive Power of Transformers with Chain of Thought. ICLR (2024)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. ICLR (2024)
William Merrill, Ashish Sabharwal
The Parallelism Tradeoff: Limitations of Log-Precision Transformers. Trans. Assoc. Comput. Linguistics 11 (2023)
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
Increasing Probability Mass on Answer Choices Does Not Always Improve Accuracy. EMNLP (2023)
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
Language Models with Rationality. EMNLP (2023)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. ACL (1) (2023)
Nora Kassner, Oyvind Tafjord, Ashish Sabharwal, Kyle Richardson, Hinrich Schütze, Peter Clark
Language Models with Rationality. CoRR (2023)
Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot
Specializing Smaller Language Models towards Multi-Step Reasoning. ICML (2023)
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. EMNLP (2023)
William Merrill, Ashish Sabharwal
The Expressive Power of Transformers with Chain of Thought. CoRR (2023)
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. CoRR (2023)
Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson
DISCO: Distilling Counterfactuals with Large Language Models. ACL (1) (2023)
William Merrill, Ashish Sabharwal
A Logic for Expressing Log-Precision Transformers. NeurIPS (2023)
Matthew Finlayson, John Hewitt, Alexander Koller, Swabha Swayamdipta, Ashish Sabharwal
Closing the Curious Case of Neural Text Degeneration. CoRR (2023)
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. CoRR (2023)
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. ICLR (2023)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. CoRR (2023)
Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot
Specializing Smaller Language Models towards Multi-Step Reasoning. CoRR (2023)
Sarah Wiegreffe, Matthew Finlayson, Oyvind Tafjord, Peter Clark, Ashish Sabharwal
Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy. CoRR (2023)
Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal
Improving Language Models via Plug-and-Play Retrieval Feedback. CoRR (2023)
Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot
ADaPT: As-Needed Decomposition and Planning with Language Models. CoRR (2023)
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot
Complexity-Based Prompting for Multi-step Reasoning. ICLR (2023)
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-context Learning for Semantic Parsing. CoRR (2023)
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Decomposed Prompting: A Modular Approach for Solving Complex Tasks. CoRR (2022)
Kyle Richardson, Ashish Sabharwal
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. AAAI (2022)
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. CoRR (2022)
Matthew Finlayson, Kyle Richardson, Ashish Sabharwal, Peter Clark
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment. EMNLP (2022)
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot
Complexity-Based Prompting for Multi-Step Reasoning. CoRR (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
♫ MuSiQue: Multihop Questions via Single-hop Question Composition. Trans. Assoc. Comput. Linguistics 10 (2022)
William Merrill, Ashish Sabharwal
Log-Precision Transformers are Constant-Depth Uniform Threshold Circuits. CoRR (2022)
Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
Multi-Modal Answer Validation for Knowledge-Based VQA. AAAI (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts. EMNLP (2022)
Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal
Hey AI, Can You Solve Complex Tasks by Talking to Agents? ACL (Findings) (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP (2022)
Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal
DISCO: Distilling Phrasal Counterfactuals with Large Language Models. CoRR (2022)
Kyle Richardson, Ronen Tamari, Oren Sultan, Dafna Shahaf, Reut Tsarfaty, Ashish Sabharwal
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs. EMNLP (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions. CoRR (2022)
Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT (2022)
Zhengzhong Liang, Tushar Khot, Steven Bethard, Mihai Surdeanu, Ashish Sabharwal
Better Retrieval May Not Lead to Better Question Answering. CoRR (2022)
Kyle Richardson, Ronen Tamari, Oren Sultan, Reut Tsarfaty, Dafna Shahaf, Ashish Sabharwal
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs. CoRR (2022)
William Merrill, Ashish Sabharwal
Transformers Implement First-Order Logic with Majority Quantifiers. CoRR (2022)
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR (2022)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Teaching Broad Reasoning Skills via Decomposition-Guided Contexts. CoRR (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR (2022)
William Merrill, Ashish Sabharwal, Noah A. Smith
Saturated Transformers are Constant-Depth Threshold Circuits. Trans. Assoc. Comput. Linguistics 10 (2022)
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. CoRR (2021)
Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth
Temporal Reasoning on Implicit Events from Distant Supervision. NAACL-HLT (2021)
Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR (2021)
Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch
GooAQ: Open Question Answering with Diverse Answer Types. EMNLP (Findings) (2021)
Tushar Khot, Kyle Richardson, Daniel Khashabi, Ashish Sabharwal
Learning to Solve Complex Tasks by Talking to Agents. CoRR (2021)
Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? CoRR (2021)
Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark
Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge. CoRR (2021)
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. NAACL-HLT (2021)
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. EMNLP (1) (2021)
Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL/IJCNLP (Findings) (2021)
Daniel Khashabi, Amos Ng, Tushar Khot, Ashish Sabharwal, Hannaneh Hajishirzi, Chris Callison-Burch
GooAQ: Open Question Answering with Diverse Answer Types. CoRR (2021)
Shih-Ting Lin, Ashish Sabharwal, Tushar Khot
ReadOnce Transformers: Reusable Representations of Text for Transformers. ACL/IJCNLP (1) (2021)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
MuSiQue: Multi-hop Questions via Single-hop Question Composition. CoRR (2021)
Kyle Richardson, Ashish Sabharwal
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability. CoRR (2021)
Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
Multi-Modal Answer Validation for Knowledge-Based VQA. CoRR (2021)
Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon
Belief Propagation Neural Networks. CoRR (2020)
Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal
A Simple Yet Strong Pipeline for HotpotQA. EMNLP (1) (2020)
Shih-Ting Lin, Ashish Sabharwal, Tushar Khot
ReadOnce Transformers: Reusable Representations of Text for Transformers. CoRR (2020)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
UnifiedQA: Crossing Format Boundaries With a Single QA System. CoRR (2020)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering. CoRR (2020)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal
Natural Perturbation for Robust Question Answering. CoRR (2020)
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models. CoRR (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. CoRR (2020)
Tao Li, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Vivek Srikumar
UNQOVERing Stereotypical Biases via Underspecified Questions. EMNLP (Findings) (2020)
Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
Towards Efficient Discrete Integration via Adaptive Quantile Queries. ECAI (2020)
Jonathan Kuck, Shuvam Chakraborty, Hao Tang, Rachel Luo, Jiaming Song, Ashish Sabharwal, Stefano Ermon
Belief Propagation Neural Networks. NeurIPS (2020)
Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. AI Mag. 41 (4) (2020)
Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal
Probing Natural Language Inference Models through Semantic Fragments. AAAI (2020)
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, Ashish Sabharwal
Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning. EMNLP (1) (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. ICML (2020)
Dirk Groeneveld, Tushar Khot, Mausam, Ashish Sabharwal
A Simple Yet Strong Pipeline for HotpotQA. CoRR (2020)
Daniel Khashabi, Tushar Khot, Ashish Sabharwal
More Bang for Your Buck: Natural Perturbation for Robust Question Answering. EMNLP (1) (2020)
Daniel Khashabi, Sewon Min, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Clark, Hannaneh Hajishirzi
UnifiedQA: Crossing Format Boundaries With a Single QA System. EMNLP (Findings) (2020)
Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, Dan Roth
Temporal Reasoning on Implicit Events from Distant Supervision. CoRR (2020)
Kyle Richardson, Ashish Sabharwal
What Does My QA Model Know? Devising Controlled Probes using Expert. Trans. Assoc. Comput. Linguistics 8 (2020)
Tao Li, Tushar Khot, Daniel Khashabi, Ashish Sabharwal, Vivek Srikumar
UnQovering Stereotyping Biases via Underspecified Questions. CoRR (2020)
Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal, Dan Roth
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. ACL (2020)
Tushar Khot, Peter Clark, Michal Guerquin, Peter Jansen, Ashish Sabharwal
QASC: A Dataset for Question Answering via Sentence Composition. AAAI (2020)
Tushar Khot, Ashish Sabharwal, Peter Clark
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering. CoRR (2019)
Jonathan Kuck, Tri Dao, Hamid Rezatofighi, Ashish Sabharwal, Stefano Ermon
Approximating the Permanent by Sampling from Adaptive Partitions. CoRR (2019)
Souvik Kundu, Tushar Khot, Ashish Sabharwal, Peter Clark
Exploiting Explicit Paths for Multi-hop Reading Comprehension. ACL (1) (2019)
Kyle Richardson, Ashish Sabharwal
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge. CoRR (2019)
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI (2019)
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
Repurposing Entailment for Multi-Hop Question Answering Tasks. CoRR (2019)
Kyle Richardson, Hai Hu, Lawrence S. Moss, Ashish Sabharwal
Probing Natural Language Inference Models through Semantic Fragments. CoRR (2019)

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Ashish Sabharwal