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Chitta Baral
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2024
- [c207]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. AAAI 2024: 14554-14562 - [c206]Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. ACL (Findings) 2024: 12717-12733 - [c205]Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. ACL (Findings) 2024: 13111-13128 - [c204]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. ACL (1) 2024: 13679-13707 - [c203]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CVPR 2024: 2794-2803 - [c202]Aayush Atul Verma, Amir Saeidi, Shamanthak Hegde, Ajay Therala, Fenil Denish Bardoliya, Nagaraju Machavarapu, Shri Ajay Kumar Ravindhiran, Srija Malyala, Agneet Chatterjee, Yezhou Yang, Chitta Baral:
Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations. CVPR Workshops 2024: 5314-5324 - [c201]Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang:
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CVPR Workshops 2024: 7303-7313 - [c200]Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang:
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CVPR 2024: 9069-9078 - [c199]Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) 2024: 204-222 - [c198]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. NAACL (Short Papers) 2024: 572-582 - [c197]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 - [c196]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with 'LITE'. NAACL-HLT (Findings) 2024: 3656-3677 - [c195]Kuntal Kumar Pal, Ati Priya Bajaj, Pratyay Banerjee, Audrey Dutcher, Mutsumi Nakamura, Zion Leonahenahe Basque, Himanshu Gupta, Saurabh Arjun Sawant, Ujjwala Anantheswaran, Yan Shoshitaishvili, Adam Doupé, Chitta Baral, Ruoyu Wang:
"Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning. SP 2024: 4069-4087 - [c194]Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Pal, Chitta Baral:
EDM3: Event Detection as Multi-task Text Generation. *SEM@NAACL 2024: 438-451 - [i138]Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. CoRR abs/2401.00287 (2024) - [i137]Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang:
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. CoRR abs/2402.05195 (2024) - [i136]Divij Handa, Advait Chirmule, Bimal G. Gajera, Chitta Baral:
Jailbreaking Proprietary Large Language Models using Word Substitution Cipher. CoRR abs/2402.10601 (2024) - [i135]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR abs/2403.11092 (2024) - [i134]Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR abs/2404.01197 (2024) - [i133]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CoRR abs/2404.08540 (2024) - [i132]Amir Saeidi, Shivanshu Verma, Chitta Baral:
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks. CoRR abs/2404.14723 (2024) - [i131]Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. CoRR abs/2404.15522 (2024) - [i130]Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang:
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CoRR abs/2405.15961 (2024) - [i129]Amir Saeidi, Shivanshu Verma, Aswin RRV, Chitta Baral:
Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization. CoRR abs/2405.16681 (2024) - [i128]Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. CoRR abs/2406.03827 (2024) - [i127]Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Chitta Baral, Tran Cao Son:
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints. CoRR abs/2406.04046 (2024) - [i126]Neeraj Varshney, Satyam Raj, Venkatesh Mishra, Agneet Chatterjee, Ritika Sarkar, Amir Saeidi, Chitta Baral:
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation. CoRR abs/2406.05494 (2024) - [i125]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) - [i124]Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral:
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. CoRR abs/2406.17169 (2024) - [i123]Md Nayem Uddin, Amir Saeidi, Divij Handa, Agastya Seth, Tran Cao Son, Eduardo Blanco, Steven R. Corman, Chitta Baral:
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization. CoRR abs/2407.03525 (2024) - [i122]Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral:
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter? CoRR abs/2407.14790 (2024) - [i121]Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral:
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. CoRR abs/2408.02231 (2024) - 2023
- [b2]Paulo Shakarian, Chitta Baral, Gerardo I. Simari, Bowen Xi, Lahari Pokala:
Neuro Symbolic Reasoning and Learning. Springer Briefs in Computer Science, Springer 2023, ISBN 978-3-031-39178-1, pp. 1-119 - [j56]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) - [c193]Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE 2023 - [c192]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. ACL (1) 2023: 967-982 - [c191]Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. ACL (2) 2023: 1617-1626 - [c190]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) 2023: 1794-1818 - [c189]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) 2023: 8573-8589 - [c188]Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 2023: 2385-2387 - [c187]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 - [c186]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? EACL (Findings) 2023: 1012-1027 - [c185]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. EACL 2023: 1771-1781 - [c184]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 - [c183]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 - [c182]Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral:
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. EMNLP (Findings) 2023: 13322-13334 - [c181]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. WACV 2023: 434-443 - [i120]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. CoRR abs/2301.10165 (2023) - [i119]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) - [i118]Kevin Scaria, Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral:
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. CoRR abs/2302.08624 (2023) - [i117]Kuntal Kumar Pal, Kazuaki Kashihara, Ujjwala Anantheswaran, Kirby C. Kuznia, Siddhesh Jagtap, Chitta Baral:
Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain. CoRR abs/2302.10346 (2023) - [i116]Tung Thai, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. CoRR abs/2302.14208 (2023) - [i115]Kazuaki Kashihara, Kuntal Kumar Pal, Chitta Baral, Robert P. Trevino:
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums. CoRR abs/2303.05400 (2023) - [i114]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. CoRR abs/2305.01812 (2023) - [i113]Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. CoRR abs/2305.05079 (2023) - [i112]Neeraj Varshney, Mihir Parmar, Nisarg Patel, Divij Handa, Sayantan Sarkar, Man Luo, Chitta Baral:
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? CoRR abs/2305.12096 (2023) - [i111]Man Luo, Xin Xu, Zhuyun Dai, Panupong Pasupat, Seyed Mehran Kazemi, Chitta Baral, Vaiva Imbrasaite, Vincent Y. Zhao:
Dr.ICL: Demonstration-Retrieved In-context Learning. CoRR abs/2305.14128 (2023) - [i110]Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Kumar Pal, Chitta Baral:
EDM3: Event Detection as Multi-task Text Generation. CoRR abs/2305.16357 (2023) - [i109]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. CoRR abs/2306.00424 (2023) - [i108]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. CoRR abs/2306.04695 (2023) - [i107]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) - [i106]Srija Macherla, Man Luo, Mihir Parmar, Chitta Baral:
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation. CoRR abs/2308.08147 (2023) - [i105]Divyanshu Raj, Chitta Baral, Nakul Gopalan:
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. CoRR abs/2309.00743 (2023) - [i104]Ayushi Agarwal, Nisarg Patel, Neeraj Varshney, Mihir Parmar, Pavan Mallina, Aryan Bhavin Shah, Srihari Raju Sangaraju, Tirth Patel, Nihar Thakkar, Chitta Baral:
Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? CoRR abs/2309.04635 (2023) - [i103]Man Luo, Shrinidhi Kumbhar, Ming Shen, Mihir Parmar, Neeraj Varshney, Pratyay Banerjee, Somak Aditya, Chitta Baral:
Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models. CoRR abs/2310.00836 (2023) - [i102]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) - [i101]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) - [i100]Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral:
Accelerating LLM Inference by Enabling Intermediate Layer Decoding. CoRR abs/2310.18581 (2023) - [i99]Mihir Parmar, Aakanksha Naik, Himanshu Gupta, Disha Agrawal, Chitta Baral:
LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks. CoRR abs/2311.09564 (2023) - [i98]Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang:
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CoRR abs/2312.04655 (2023) - 2022
- [j55]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
An action language for multi-agent domains. Artif. Intell. 302: 103601 (2022) - [c180]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. AAAI 2022: 11038-11046 - [c179]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. ACL (2) 2022: 355-361 - [c178]Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. ACL (Findings) 2022: 589-612 - [c177]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. ACL (Findings) 2022: 1493-1513 - [c176]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. ACL (Findings) 2022: 1995-2002 - [c175]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. ACL (Findings) 2022: 2003-2016 - [c174]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 - [c173]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. ACL (1) 2022: 3412-3425 - [c172]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Cross-Task Generalization via Natural Language Crowdsourcing Instructions. ACL (1) 2022: 3470-3487 - [c171]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 - [c170]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CLEF (Working Notes) 2022: 291-304 - [c169]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. EMNLP 2022: 4532-4552 - [c168]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? EMNLP 2022: 4553-4569 - [c167]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 - [c166]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. EMNLP (Findings) 2022: 5914-5924 - [c165]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. EMNLP (Findings) 2022: 6992-7007 - [c164]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. EMNLP 2022: 9856-9870 - [c163]Neeraj Varshney, Chitta Baral:
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. EMNLP 2022: 11007-11021 - [c162]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 - [c161]Man Luo, Shuguang Chen, Chitta Baral:
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. NAACL-HLT (Student Research Workshop) 2022: 181-187 - [c160]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Towards Improving Selective Prediction Ability of NLP Systems. RepL4NLP@ACL 2022: 221-226 - [i97]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. CoRR abs/2201.07745 (2022) - [i96]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. CoRR abs/2203.00211 (2022) - [i95]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. CoRR abs/2203.03073 (2022) - [i94]Man Luo, Kazuma Hashimoto, Semih Yavuz, Zhiwei Liu, Chitta Baral, Yingbo Zhou:
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering. CoRR abs/2203.07522 (2022) - [i93]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) - [i92]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) - [i91]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? CoRR abs/2203.09161 (2022) - [i90]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. CoRR abs/2203.16682 (2022) - [i89]