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ORCIDChitta Baral
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2023
[c190]Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE 2023- [c189]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. ACL (1) 2023: 967-982 - [c188]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 - [c187]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 - [c186]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) 2023: 8573-8589 - [c185]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 - [c184]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 - [c183]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? EACL (Findings) 2023: 1012-1027 - [c182]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. EACL 2023: 1771-1781 - [c181]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 - [c180]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 - [i113]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. CoRR abs/2301.10165 (2023) - [i112]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) - [i111]Kevin Scaria, Himanshu Gupta, Saurabh Arjun Sawant, Swaroop Mishra, Chitta Baral:
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. CoRR abs/2302.08624 (2023) - [i110]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) - [i109]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) - [i108]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) - [i107]Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. CoRR abs/2305.01812 (2023) - [i106]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) - [i105]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) - [i104]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) - [i103]Ujjwala Anantheswaran, Himanshu Gupta, Mihir Parmar, Kuntal Kumar Pal, Chitta Baral:
EDM3: Event Detection as Multi-task Text Generation. CoRR abs/2305.16357 (2023) - [i102]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. CoRR abs/2306.00424 (2023) - [i101]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. CoRR abs/2306.04695 (2023) - [i100]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) - [i99]Srija Macherla, Man Luo, Mihir Parmar, Chitta Baral:
MDDial: A Multi-turn Differential Diagnosis Dialogue Dataset with Reliability Evaluation. CoRR abs/2308.08147 (2023) - [i98]Divyanshu Raj, Chitta Baral, Nakul Gopalan:
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains. CoRR abs/2309.00743 (2023) - [i97]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) - 2022
- [j55]Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son:
An action language for multi-agent domains. Artif. Intell. 302: 103601 (2022) - [c179]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. AAAI 2022: 11038-11046 - [c178]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 - [c177]Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. ACL (Findings) 2022: 589-612 - [c176]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. ACL (Findings) 2022: 1493-1513 - [c175]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. ACL (Findings) 2022: 1995-2002 - [c174]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. ACL (Findings) 2022: 2003-2016 - [c173]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 - [c172]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. ACL (1) 2022: 3412-3425 - [c171]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Cross-Task Generalization via Natural Language Crowdsourcing Instructions. ACL (1) 2022: 3470-3487 - [c170]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 - [c169]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CLEF (Working Notes) 2022: 291-304 - [c168]Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Less is More: Summary of Long Instructions is Better for Program Synthesis. EMNLP 2022: 4532-4552 - [c167]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? EMNLP 2022: 4553-4569 - [c166]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 - [c165]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. EMNLP (Findings) 2022: 5914-5924 - [c164]Pratyay Banerjee, Shweti Mahajan, Kushal Arora, Chitta Baral, Oriana Riva:
Lexi: Self-Supervised Learning of the UI Language. EMNLP (Findings) 2022: 6992-7007 - [c163]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. EMNLP 2022: 9856-9870 - [c162]Neeraj Varshney, Chitta Baral:
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. EMNLP 2022: 11007-11021 - [c161]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 - [c160]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 - [c159]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Towards Improving Selective Prediction Ability of NLP Systems. RepL4NLP@ACL 2022: 221-226 - [i96]Man Luo, Arindam Mitra, Tejas Gokhale, Chitta Baral:
Improving Biomedical Information Retrieval with Neural Retrievers. CoRR abs/2201.07745 (2022) - [i95]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. CoRR abs/2203.00211 (2022) - [i94]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. CoRR abs/2203.03073 (2022) - [i93]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) - [i92]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) - [i91]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) - [i90]Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? CoRR abs/2203.09161 (2022) - [i89]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) - [i88]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) - [i87]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) - [i86]Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i85]Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. CoRR abs/2205.00415 (2022) - [i84]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Let the Model Decide its Curriculum for Multitask Learning. CoRR abs/2205.09898 (2022) - [i83]Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral:
Is a Question Decomposition Unit All We Need? CoRR abs/2205.12538 (2022) - [i82]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. CoRR abs/2206.07736 (2022) - [i81]Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral:
BioTABQA: Instruction Learning for Biomedical Table Question Answering. CoRR abs/2207.02419 (2022) - [i80]Shailaja Keyur Sampat, Maitreya Patel, Subhasish Das, Yezhou Yang, Chitta Baral:
Reasoning about Actions over Visual and Linguistic Modalities: A Survey. CoRR abs/2207.07568 (2022) - [i79]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. CoRR abs/2210.01371 (2022) - [i78]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) - [i77]Neeraj Varshney, Chitta Baral:
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems. CoRR abs/2210.05528 (2022) - [i76]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) - [i75]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) - [i74]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) - [i73]Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral:
Pretrained Transformers Do not Always Improve Robustness. CoRR abs/2210.07663 (2022) - [i72]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) - [i71]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. CoRR abs/2211.03779 (2022) - [i70]Neeraj Varshney, Man Luo, Chitta Baral:
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans? CoRR abs/2211.12707 (2022) - [i69]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics from Pairs of Scene-graphs. CoRR abs/2212.03433 (2022) - [i68]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. CoRR abs/2212.03866 (2022) - [i67]Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang:
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR abs/2212.10015 (2022) - 2021
- [j54]Pratyay Banerjee, Kuntal Kumar Pal, Murthy V. Devarakonda, Chitta Baral:
Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering. ACM Trans. Comput. Heal. 2(4): 33:1-33:24 (2021) - [c158]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. AAAI 2021: 7574-7582 - [c157]Ming Shen, Pratyay Banerjee, Chitta Baral:
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. ACL/IJCNLP (2) 2021: 932-941 - [c156]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
WeaQA: Weak Supervision via Captions for Visual Question Answering. ACL/IJCNLP (Findings) 2021: 3420-3435 - [c155]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 - [c154]Pratyay Banerjee, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral:
Commonsense Reasoning with Implicit Knowledge in Natural Language. AKBC 2021 - [c153]Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral:
'Just because you are right, doesn't mean I am wrong': Overcoming a bottleneck in development and evaluation of Open-Ended VQA tasks. EACL 2021: 2766-2771 - [c152]Kuntal Kumar Pal, Chitta Baral:
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. EMNLP (Findings) 2021: 3095-3101 - [c151]Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral:
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. EMNLP (1) 2021: 6417-6431 - [c150]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. ICCV 2021: 1888-1898 - [c149]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. NAACL-HLT 2021: 1200-1211 - [c148]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. NAACL-HLT 2021: 3692-3709 - [i66]Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Self-Supervised Test-Time Learning for Reading Comprehension. CoRR abs/2103.11263 (2021) - [i65]Pratyay Banerjee, Kuntal Kumar Pal, Fish Wang, Chitta Baral:
Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling. CoRR abs/2103.12801 (2021) - [i64]Man Luo, Shailaja Keyur Sampat, Riley Tallman, Yankai Zeng, Manuha Vancha, Akarshan Sajja, Chitta Baral:
'Just because you are right, doesn't mean I am wrong': Overcoming a Bottleneck in the Development and Evaluation of Open-Ended Visual Question Answering (VQA) Tasks. CoRR abs/2103.15022 (2021) - [i63]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. CoRR abs/2104.05981 (2021) - [i62]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi:
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions. CoRR abs/2104.08773 (2021) - [i61]Ming Shen, Pratyay Banerjee, Chitta Baral:
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction. CoRR abs/2105.12392 (2021) - [i60]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) - [i59]Neeraj Varshney, Swaroop Mishra, Chitta Baral:
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems. CoRR abs/2107.00315 (2021) - [i58]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. CoRR abs/2109.01934 (2021) - [i57]Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral:
Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering. CoRR abs/2109.04014 (2021) - [i56]Kuntal Kumar Pal, Chitta Baral:
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. CoRR abs/2109.04672 (2021) - [i55]Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi:
Reframing Instructional Prompts to GPTk's Language. CoRR abs/2109.07830 (2021) - [i54]Man Luo, Shuguang Chen, Chitta Baral:
A Simple Approach to Jointly Rank Passages and Select Relevant Sentences in the OBQA Context. CoRR abs/2109.10497 (2021) - [i53]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. CoRR abs/2110.07165 (2021) - [i52]Hong Guan, Chitta Baral:
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis. CoRR abs/2110.08393 (2021) - [i51]Neeraj Varshney, Pratyay Banerjee, Tejas Gokhale, Chitta Baral:
Unsupervised Natural Language Inference Using PHL Triplet Generation. CoRR abs/2110.08438 (2021) - 2020
- [c147]Arindam Mitra, Ishan Shrivastava, Chitta Baral:
Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models. AAAI 2020: 8504-8511 - [c146]Arindam Mitra, Sanjay Narayana, Chitta Baral:
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner's Perspective. SPNLP@EMNLP 2020: 102-111 - [c145]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
VQA-LOL: Visual Question Answering Under the Lens of Logic. ECCV (21) 2020: 379-396 - [c144]Pratyay Banerjee, Chitta Baral:
Self-Supervised Knowledge Triplet Learning for Zero-Shot Question Answering. EMNLP (1) 2020: 151-162 - [c143]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. EMNLP (1) 2020: 840-860 - [c142]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP (1) 2020: 878-892 - [c141]Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral:
Visuo-Lingustic Question Answering (VLQA) Challenge. EMNLP (Findings) 2020: 4606-4616 - [c140]Samarth Rawal, Ashok Prakash, Soumya Adhya, Sidharth Kulkarni, Saadat Anwar, Chitta Baral, Murthy V. Devarakonda:
Semi-Automated Clinical Lexicon Induction and Its Use in Cohort Selection from Clinical Notes. ICHI 2020: 1-2 - [c139]Kazuaki Kashihara, Jana Shakarian, Chitta Baral:
Human-Machine Interaction for Improved Cybersecurity Named Entity Recognition Considering Semantic Similarity. IntelliSys (2) 2020: 347-361 - [c138]Simon Stepputtis, Joseph Campbell, Mariano J. Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor:
Language-Conditioned Imitation Learning for Robot Manipulation Tasks. NeurIPS 2020 - [p1]Chitta Baral, Martine Ceberio, Vladik Kreinovich:
How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints. Decision Making under Constraints 2020: 15-20 - [i50]