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Swaroop Mishra
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2020 – today
- 2024
- [c29]Xiao Ma
, Swaroop Mishra
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CHI Extended Abstracts 2024: 56:1-56:12 - [c28]Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou:
Large Language Models Cannot Self-Correct Reasoning Yet. ICLR 2024 - [c27]Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou:
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. ICLR 2024 - [c26]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. ICML 2024 - [c25]Kevin Scaria, Himanshu Gupta, Siddharth Goyal, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral:
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. NAACL (Short Papers) 2024: 720-736 - [i53]Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng:
Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR abs/2402.03620 (2024) - [i52]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. CoRR abs/2402.05403 (2024) - [i51]Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou:
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning. CoRR abs/2406.04520 (2024) - [i50]Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, Shreyas Verma, Chitta Baral, Swaroop Mishra:
Investigating the Robustness of LLMs on Math Word Problems. CoRR abs/2406.15444 (2024) - [i49]Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR abs/2407.08223 (2024) - 2023
- [j1]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) - [c24]Swaroop Mishra, Elnaz Nouri:
HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models. ACL (Findings) 2023: 11834-11890 - [c23]Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi:
Self-Instruct: Aligning Language Models with Self-Generated Instructions. ACL (1) 2023: 13484-13508 - [c22]Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral:
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. EACL 2023: 407-417 - [c21]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? EACL (Findings) 2023: 1012-1027 - [c20]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. EACL 2023: 1771-1781 - [c19]Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan:
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. EACL 2023: 2891-2919 - [c18]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. EMNLP (Findings) 2023: 4026-4043 - [i48]Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan:
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. CoRR abs/2302.04434 (2023) - [i47]Kevin Scaria, Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral:
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. CoRR abs/2302.08624 (2023) - [i46]Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Mutsumi Nakamura, Arindam Mitra, Santosh Mashetty, Chitta Baral:
Instruction Tuned Models are Quick Learners. CoRR abs/2306.05539 (2023) - [i45]Xiao Ma, Swaroop Mishra, Ahmad Beirami, Alex Beutel, Jilin Chen:
Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning. CoRR abs/2306.14308 (2023) - [i44]Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou:
Large Language Models Cannot Self-Correct Reasoning Yet. CoRR abs/2310.01798 (2023) - [i43]Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui:
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR abs/2310.03051 (2023) - [i42]Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou:
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. CoRR abs/2310.06117 (2023) - [i41]Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - [i40]Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. CoRR abs/2310.14495 (2023) - [i39]Himanshu Gupta, Kevin Scaria, Ujjwala Anantheswaran, Shreyas Verma, Mihir Parmar, Saurabh Arjun Sawant, Chitta Baral, Swaroop Mishra:
TarGEN: Targeted Data Generation with Large Language Models. CoRR abs/2310.17876 (2023) - [i38]Jeffrey Zhou, Tianjian Lu, Swaroop Mishra, Siddhartha Brahma, Sujoy Basu, Yi Luan, Denny Zhou, Le Hou:
Instruction-Following Evaluation for Large Language Models. CoRR abs/2311.07911 (2023) - [i37]Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Ying Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi:
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses. CoRR abs/2312.00763 (2023) - 2022
- [c17]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. ACL (Findings) 2022: 1995-2002 - [c16]Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral:
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. ACL (Findings) 2022: 2705-2718 - [c15]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. ACL (1) 2022: 3412-3425 - [c14]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Cross-Task Generalization via Natural Language Crowdsourcing Instructions. ACL (1) 2022: 3470-3487 - [c13]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. ACL (1) 2022: 3505-3523 - [c12]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CLEF (Working Notes) 2022: 291-304 - [c11]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. EMNLP 2022: 4532-4552 - [c10]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? EMNLP 2022: 4553-4569 - [c9]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [c8]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: 5807-5832 - [c7]Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, Murad Mohammad, Chitta Baral:
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. NAACL-HLT (Findings) 2022: 112-128 - [c6]Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. NeurIPS 2022 - [c5]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Towards Improving Selective Prediction Ability of NLP Systems. RepL4NLP@ACL 2022: 221-226 - [i36]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. CoRR abs/2203.00211 (2022) - [i35]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. CoRR abs/2203.03073 (2022) - [i34]Swaroop Mishra, Anjana Arunkumar:
A Proposal to Study "Is High Quality Data All We Need?". CoRR abs/2203.06404 (2022) - [i33]Tejas Gokhale, Swaroop Mishra, Man Luo, Bhavdeep Singh Sachdeva, Chitta Baral:
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness. CoRR abs/2203.07653 (2022) - [i32]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. CoRR abs/2203.08597 (2022) - [i31]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? CoRR abs/2203.09161 (2022) - [i30]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan:
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR abs/2204.05660 (2022) - [i29]Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral:
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning. CoRR abs/2204.07600 (2022) - [i28]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i27]Mihir Parmar, Swaroop Mishra, Mor Geva
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. CoRR abs/2205.00415 (2022) - [i26]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Let the Model Decide its Curriculum for Multitask Learning. CoRR abs/2205.09898 (2022) - [i25]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? CoRR abs/2205.12538 (2022) - [i24]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
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i23]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CoRR abs/2207.02419 (2022) - [i22]Swaroop Mishra, Elnaz Nouri:
HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models. CoRR abs/2208.08232 (2022) - [i21]Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan:
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. CoRR abs/2209.09513 (2022) - [i20]Swaroop Mishra, Anjana Arunkumar, Chitta Baral:
Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications. CoRR abs/2210.04466 (2022) - [i19]Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral:
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. CoRR abs/2210.07471 (2022) - [i18]Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
A Survey of Parameters Associated with the Quality of Benchmarks in NLP. CoRR abs/2210.07566 (2022) - [i17]Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task. CoRR abs/2210.07631 (2022) - [i16]Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral:
Pretrained Transformers Do not Always Improve Robustness. CoRR abs/2210.07663 (2022) - [i15]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 abs/2210.17517 (2022) - [i14]Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi, Hannaneh Hajishirzi:
Self-Instruct: Aligning Language Model with Self Generated Instructions. CoRR abs/2212.10560 (2022) - 2021
- [c4]Swaroop Mishra, Anjana Arunkumar:
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation. AAAI 2021: 13561-13569 - [c3]Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral:
Constructing Flow Graphs from Procedural Cybersecurity Texts. ACL/IJCNLP (Findings) 2021: 3945-3957 - [c2]Pratyay Banerjee, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Commonsense Reasoning with Implicit Knowledge in Natural Language. AKBC 2021 - [i13]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. CoRR abs/2104.08773 (2021) - [i12]Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang, Chitta Baral:
Constructing Flow Graphs from Procedural Cybersecurity Texts. CoRR abs/2105.14357 (2021) - [i11]Swaroop Mishra, Anjana Arunkumar:
How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation. CoRR abs/2106.05532 (2021) - [i10]Swaroop Mishra, Anjana Arunkumar:
Front Contribution instead of Back Propagation. CoRR abs/2106.05569 (2021) - [i9]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. CoRR abs/2107.00315 (2021) - [i8]Swaroop Mishra:
Development of User-friendly Smart Grid Architecture. CoRR abs/2108.13677 (2021) - [i7]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. CoRR abs/2109.07830 (2021) - 2020
- [c1]Swaroop Mishra, Bhavdeep Singh Sachdeva:
Do We Need to Create Big Datasets to Learn a Task? SustaiNLP@EMNLP 2020: 169-173 - [i6]Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: Measuring Data Quality in NLP. CoRR abs/2005.00816 (2020) - [i5]Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Chitta Baral:
Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks. CoRR abs/2005.08516 (2020) - [i4]Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral:
Our Evaluation Metric Needs an Update to Encourage Generalization. CoRR abs/2007.06898 (2020) - [i3]Swaroop Mishra, Anjana Arunkumar, Bhavdeep Singh Sachdeva, Chris Bryan, Chitta Baral:
DQI: A Guide to Benchmark Evaluation. CoRR abs/2008.03964 (2020) - [i2]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems. CoRR abs/2008.09371 (2020)
2010 – 2019
- 2019
- [i1]Arindam Mitra, Pratyay Banerjee
Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. CoRR abs/1909.08855 (2019)
Coauthor Index
[c25] [i50] [j1] [c22] [c21] [c20] [c19] [c18] [i48] [i47] [i46] [i40] [i39] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [c7] [c5] [i36] [i35] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i20] [i19] [i18] [i17] [i16] [i15] [c3] [c2] [i13] [i12] [i9] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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