| InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis K Scaria, H Gupta, S Goyal, SA Sawant, S Mishra, C Baral NAACL, 2023 | 23 | 2023 |
| Instruction Tuned Models are Quick Learners H Gupta, SA Sawant, S Mishra, M Nakamura, A Mitra, S Mashetty, C Baral arXiv preprint arXiv:2306.05539, 2023 | 16 | 2023 |
| " John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility H Gupta, N Varshney, S Mishra, KK Pal, SA Sawant, K Scaria, S Goyal, ... EACL, 2022 | 16 | 2022 |
| An Empirical Study on Predictability of Software Code Smell Using Deep Learning Models H Gupta, TG Kulkarni, L Kumar, NLB Murthy, A Krishna 2021 35th International Conference on Advanced Information Networking and …, 2021 | 16 | 2021 |
| An Empirical Framework for Code Smell Prediction using Extreme Learning Machine H Gupta, L Kumar, LBM Neti 2019 9th Annual Information Technology, Electromechanical Engineering and …, 2019 | 16 | 2019 |
| Prediction of Students performance with Artificial Neural Network using Demographic Traits AJ Kehinde, AE Adeniyi, RO Ogundokun, H Gupta, S Misra The 4th International Conference on Recent Innovations in Computing (ICRIC-2021), 2021 | 14 | 2021 |
| Context-NER: Contextual Phrase Generation at Scale H Gupta, S Verma, T Kumar, S Mishra, T Agrawal, A Badugu, HS Bhatt NeurIPS 2022 ESNLP Workshop, 2022 | 13* | 2022 |
| Computational Intelligence Approaches for Heart Disease Detection RO Ogundokun, S Misra, PO Sadiku, H Gupta, R Damasevicius, ... Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 2, 385-395, 2022 | 11 | 2022 |
| TarGEN: Targeted Data Generation with Large Language Models H Gupta, K Scaria, U Anantheswaran, S Verma, M Parmar, SA Sawant, ... arXiv preprint arXiv:2310.17876, 2023 | 10 | 2023 |
| An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data H Gupta, S Misra, L Kumar, NLB Murthy Information and Communication Technology and Applications: Third …, 2021 | 7 | 2021 |
| Empirical Analysis on Effectiveness of NLP Methods for Predicting Code Smell H Gupta, AA Gulanikar, L Kumar, NLB Murthy The 2021 International Conference on Computational Science and Its Applications, 2021 | 6 | 2021 |
| EDM3: Event Detection as Multi-task Text Generation U Anantheswaran, H Gupta, M Parmar, KK Pal, C Baral *SEM NAACL 2024, 2023 | 4 | 2023 |
| LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks M Parmar, A Naik, H Gupta, D Agrawal, C Baral arXiv preprint arXiv:2311.09564, 2023 | 3 | 2023 |
| A Novel Approach Towards Analysis of Attacker Behavior in DDoS Attacks H Gupta, TG Kulkarni, L Kumar, NLB Murthy Machine Learning for Networking: Second IFIP TC 6 International Conference …, 2020 | 3 | 2020 |
| “Len or index or count, anything but v1”: Predicting Variable Names in Decompilation Output with Transfer Learning KK Pal, AP Bajaj, P Banerjee, A Dutcher, M Nakamura, ZL Basque, ... IEEE S&P, 2023 | 1 | 2023 |
| A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution N Varshney*, H Gupta*, E Robertson, B Liu, C Baral ACL, 2023 | 1 | 2023 |
| Instruction Tuned Models Are Quick Learners with Instruction Equipped Data on Downstream Tasks H Gupta Masters Thesis, 2023 | | 2023 |
| Transaction and ownership information document extraction T Kumar, H Gupta, H Sharad Bhatt, R Ghosh, N K. Jain, ... US Patent US20230113578A1, 2023 | | 2023 |
Chitta BaralProfessor of Computer Science, Arizona State UniversityVerified email at asu.edu
