| When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues S Kumar*, A Kulkarni*, MS Akhtar, T Chakraborty ACL 2022 main conference 1, 5956--5968, 2022 | 23 | 2022 |
| Findings of the CONSTRAINT 2022 Shared Task on Detecting the Hero, the Villain, and the Victim in Memes S Sharma, T Suresh, A Kulkarni, H Mathur, P Nakov, MS Akhtar, ... CONSTRAINT Workshop ACL 2022, 1-11, 2022 | 18 | 2022 |
| Smart cap: A deep learning and iot based assistant for the visually impaired A Hengle, A Kulkarni, N Bavadekar, N Kulkarni, R Udyawar 2020 Third International Conference on Smart Systems and Inventive …, 2020 | 17 | 2020 |
| Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? S Sharma*, A Kulkarni*, T Suresh, H Mathur, P Nakov, M Akhtar, ... EACL 2023 main conference, 2149--2163, 2023 | 14 | 2023 |
| Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter M Sundriyal*, A Kulkarni*, V Pulastya, MS Akhtar, T Chakraborty EMNLP 2022 main conference, 7701--7715, 2022 | 12 | 2022 |
| PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction A Kulkarni, S Somwase, S Rajput, M Marathe WASSA at EACL 2021, 2021 | 10 | 2021 |
| Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model L Weissweiler, V Hofmann, A Kantharuban, A Cai, R Dutt, A Hengle, ... EMNLP 2023 main conference, 2023 | 8 | 2023 |
| Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment A Kulkarni, S Masud, V Goyal, T Chakraborty SIGKDD 2023, 2023 | 5 | 2023 |
| Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations A Kulkarni, A Hengle, P Kulkarni, M Marathe LOUHI at EACL 2021, 83-93, 2021 | 2 | 2021 |
| Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India A Kulkarni, R Das, RS Srivastava, T Chakraborty 32nd International Joint Conference on Artificial Intelligence, 2023 | 1 | 2023 |
| An Attention Ensemble Approach for Efficient Text Classification of Indian Languages A Kulkarni, A Hengle, R Udyawar Proceedings of the 17th International Conference on Natural Language …, 2021 | 1 | 2021 |
| Multitask Learning Can Improve Worst-Group Outcomes A Kulkarni, L Dery, A Setlur, A Raghunathan, A Talwalkar, G Neubig Transactions on Machine Learning Research, 2024 | | 2024 |
| SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking A Kulkarni, BH Tseng, JRA Moniz, D Piraviperumal, H Yu, S Bhargava arXiv preprint arXiv:2402.02285, 2024 | | 2024 |
| The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction D Ashok, A Kulkarni, H Pham, B Poczós Findings of the Association for Computational Linguistics: EMNLP 2023, 6762-6778, 2023 | | 2023 |
Tanmoy ChakrabortyIIT Delhi, India在 iitd.ac.in 的电子邮件经过验证
