| X-FACT: A New Benchmark Dataset for Multilingual Fact Checking A Gupta, V Srikumar ACL 2021, 2021 | 96 | 2021 |
| Bert & family eat word salad: Experiments with text understanding A Gupta, G Kvernadze, V Srikumar Proceedings of the AAAI conference on artificial intelligence 35 (14), 12946 …, 2021 | 78 | 2021 |
| An LSTM-CRF based approach to token-level metaphor detection M Pramanick, A Gupta, P Mitra Proceedings of the Workshop on Figurative Language Processing, 67-75, 2018 | 32 | 2018 |
| A graph-based framework for structured prediction tasks in Sanskrit A Krishna, B Santra, A Gupta, P Satuluri, P Goyal Computational Linguistics 46 (4), 785-845, 2021 | 30 | 2021 |
| Evaluating neural morphological taggers for Sanskrit A Gupta, A Krishna, P Goyal, O Hellwig arXiv preprint arXiv:2005.10893, 2020 | 18 | 2020 |
| Adversarial clean label backdoor attacks and defenses on text classification systems A Gupta, A Krishna RepL4NLP 2023, 2023 | 17 | 2023 |
| Evaluating relaxations of logic for neural networks: A comprehensive study MM Grespan, A Gupta, V Srikumar IJCAI 2021, 2021 | 17 | 2021 |
| Keep it surprisingly simple: A simple first order graph based parsing model for joint morphosyntactic parsing in Sanskrit A Krishna, A Gupta, D Garasangi, P Satuluri, P Goyal Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 14 | 2020 |
| An efficient content based image retrieval for normal and abnormal mammograms VP Singh, A Gupta, S Singh, R Srivastava 2015 IEEE UP section conference on Electrical Computer and Electronics …, 2015 | 14 | 2015 |
| A little pretraining goes a long way: A case study on dependency parsing task for low-resource morphologically rich languages J Sandhan, A Krishna, A Gupta, L Behera, P Goyal arXiv preprint arXiv:2102.06551, 2021 | 11 | 2021 |
| Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text A Gupta, CW Blum, T Choji, Y Fei, S Shah, A Vempala, V Srikumar ACL 2023, 2023 | 9 | 2023 |
| Beyond perplexity: Multi-dimensional safety evaluation of llm compression Z Xu, A Gupta, T Li, O Bentham, V Srikumar Findings of EMNLP, 2024, 2024 | 8 | 2024 |
| Neural approaches for data driven dependency parsing in Sanskrit A Krishna, A Gupta, D Garasangi, J Sandhan, P Satuluri, P Goyal arXiv preprint arXiv:2004.08076, 2020 | 7 | 2020 |
| Fully Contextualized Biomedical NER A Gupta, P Goyal, S Sarkar 41st European Conference on Information Retrieval (ECIR), 2019 | 6 | 2019 |
| Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness A Gupta, R Rajendhran, N Stringham, V Srikumar, A Marasović NAACL, 2024, 2023 | 5 | 2023 |
| State Space Models are Strong Text Rerankers Z Xu, J Yan, A Gupta, V Srikumar arXiv preprint arXiv:2412.14354, 2024 | 2 | 2024 |
| An empirical investigation of matrix factorization methods for pre-trained transformers A Gupta, SM Saravani, P Sadayappan, V Srikumar arXiv preprint arXiv:2406.11307, 2024 | 2 | 2024 |
| Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages? A Roy, RK Thakur, I Sharma, A Gupta, A Krishna, S Sarkar, P Goyal COLING 2022, 4251-4257, 2022 | 2 | 2022 |
| Enhancing Question Answering on Charts Through Effective Pre-training Tasks A Gupta, V Gupta, S Zhang, Y He, N Zhang, S Shah BlackboxNLP 2024, 2024 | 1 | 2024 |
| IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery B Singhal, A Gupta, A Krishna Findings of EMNLP, 2023, 2023 | | 2023 |
Vivek SrikumarAssociate Professor, School of Computing, University of UtahOverená e-mailová adresa na: cs.utah.edu
