Predicting facebook-users' personality based on status and linguistic features via flexible regression analysis techniques. - Prantik Howlader; Kuntal Kumar Pal; Alfredo Cuzzocrea; S. D. Madhu Kumar (SAC, 2018)

Careful Selection of Knowledge to Solve Open Book Question Answering. - Pratyay Banerjee; Kuntal Kumar Pal; Arindam Mitra; Chitta Baral (ACL (1), 2019)

Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering. - Arindam Mitra; Pratyay Banerjee; Kuntal Kumar Pal; Swaroop Mishra; Chitta Baral (CoRR, 2019)

Knowledge Guided Named Entity Recognition. - Pratyay Banerjee; Kuntal Kumar Pal; Murthy V. Devarakonda; Chitta Baral (CoRR, 2019)

Natural Language QA Approaches using Reasoning with External Knowledge. - Chitta Baral; Pratyay Banerjee; Kuntal Kumar Pal; Arindam Mitra (CoRR, 2020)

Can Transformers Reason About Effects of Actions? - Pratyay Banerjee; Chitta Baral; Man Luo 003; Arindam Mitra; Kuntal Kumar Pal; Tran Cao Son; Neeraj Varshney (CoRR, 2020)

Constructing Flow Graphs from Procedural Cybersecurity Texts. - Kuntal Kumar Pal; Kazuaki Kashihara; Pratyay Banerjee; Swaroop Mishra; Ruoyu Wang 001; Chitta Baral (ACL/IJCNLP (Findings), 2021)

Commonsense Reasoning with Implicit Knowledge in Natural Language. - Pratyay Banerjee; Swaroop Mishra; Kuntal Kumar Pal; Arindam Mitra; Chitta Baral (AKBC, 2021)

Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model. - Kuntal Kumar Pal; Chitta Baral (EMNLP (Findings), 2021)

Variable Name Recovery in Decompiled Binary Code using Constrained Masked Language Modeling. - Pratyay Banerjee; Kuntal Kumar Pal; Fish Wang; Chitta Baral (CoRR, 2021)

Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering. - Pratyay Banerjee; Kuntal Kumar Pal; Murthy V. Devarakonda; Chitta Baral (ACM Trans. Comput. Heal., 2021)

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. - 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; et al. (EMNLP, 2022)

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. - 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; et al. (CoRR, 2022)

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. - Himanshu Gupta; Neeraj Varshney; Swaroop Mishra; Kuntal Kumar Pal; Saurabh Arjun Sawant; Kevin Scaria; Siddharth Goyal; Chitta Baral (EACL, 2023)

Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums. - Kazuaki Kashihara; Kuntal Kumar Pal; Chitta Baral; Robert P. Trevino (IntelliSys (3), 2023)

Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain. - Kuntal Kumar Pal; Kazuaki Kashihara; Ujjwala Anantheswaran; Kirby C. Kuznia; Siddhesh Jagtap; Chitta Baral (CoRR, 2023)

EDM3: Event Detection as Multi-task Text Generation. - Ujjwala Anantheswaran; Himanshu Gupta; Mihir Parmar; Kuntal Kumar Pal; Chitta Baral (CoRR, 2023)

Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users. - Kuntal Kumar Pal; Michael Gamon; Nirupama Chandrasekaran; Silviu Cucerzan (CoRR, 2023)

"Len or index or count, anything but v1": Predicting Variable Names in Decompilation Output with Transfer Learning. - 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; et al. (SP, 2024)