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ORCIDAtharva Kulkarni
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2020 – today
- 2025
[i20]Atharva Mehta, Shivam Chauhan, Amirbek Djanibekov, Atharva Kulkarni, Gus Xia, Monojit Choudhury:
Music for All: Exploring Multicultural Representations in Music Generation Models. CoRR abs/2502.07328 (2025)- [i19]Ajinkya Kulkarni, Atharva Kulkarni, Miguel Couceiro, Isabel Trancoso:
Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems. CoRR abs/2503.00907 (2025) - 2024
- [j2]Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig:
Multitask Learning Can Improve Worst-Group Outcomes. Trans. Mach. Learn. Res. 2024 (2024) - [c15]Atharva Kulkarni, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Hong Yu, Shruti Bhargava:
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking. EACL (1) 2024: 1988-2001 - [c14]Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D'Silva, Jemima Jacob, Rashmi Gupta:
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis. EMNLP 2024: 16698-16721 - [i18]Atharva Kulkarni, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Hong Yu, Shruti Bhargava:
SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking. CoRR abs/2402.02285 (2024) - [i17]Amey Hengle, Atharva Kulkarni, Shantanu Patankar, Madhumitha Chandrasekaran, Sneha D'Silva, Jemima Jacob, Rashmi Gupta:
Still Not Quite There! Evaluating Large Language Models for Comorbid Mental Health Diagnosis. CoRR abs/2410.03908 (2024) - 2023
- [c13]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? EACL 2023: 2141-2155 - [c12]Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer
, David R. Mortensen:
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. EMNLP 2023: 6508-6524 - [c11]Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabás Póczos:
The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction. EMNLP (Findings) 2023: 6762-6778 - [c10]Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty:
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. IJCAI 2023: 6386-6394 - [c9]Ajinkya Kulkarni, Atharva Kulkarni, Sara Abedalmonem Mohammad Shatnawi, Hanan Aldarmaki:
ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus. INTERSPEECH 2023: 5511-5515 - [c8]Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty:
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment. KDD 2023: 4333-4345 - [c7]Cécile Robin, Atharva Kulkarni, Paul Buitelaar:
Identifying FrameNet Lexical Semantic Structures for Knowledge Graph Extraction from Financial Customer Interactions. GWC 2023: 91-100 - [i16]Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? CoRR abs/2301.11219 (2023) - [i15]Ajinkya Kulkarni, Atharva Kulkarni, Sara Abedalmonem Mohammad Shatnawi, Hanan Aldarmaki:
ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus. CoRR abs/2303.00069 (2023) - [i14]Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty:
Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. CoRR abs/2304.13958 (2023) - [i13]Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabás Póczos:
The student becomes the master: Matching GPT3 on Scientific Factual Error Correction. CoRR abs/2305.14707 (2023) - [i12]Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty:
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment. CoRR abs/2306.01105 (2023) - [i11]Niranjan Sitapure, Atharva Kulkarni:
Exploring Different Time-series-Transformer (TST) Architectures: A Case Study in Battery Life Prediction for Electric Vehicles (EVs). CoRR abs/2308.03260 (2023) - [i10]Atharva Kulkarni, Ajinkya Kulkarni, Miguel Couceiro, Hanan Aldarmaki:
Adapting the adapters for code-switching in multilingual ASR. CoRR abs/2310.07423 (2023) - [i9]Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen:
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model. CoRR abs/2310.15113 (2023) - [i8]Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig:
Multitask Learning Can Improve Worst-Group Outcomes. CoRR abs/2312.03151 (2023) - 2022
- [j1]Crescentia Jung, Shubham Mehta, Atharva Kulkarni, Yuhang Zhao, Yea-Seul Kim:
Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments. IEEE Trans. Vis. Comput. Graph. 28(1): 1095-1105 (2022) - [c6]Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty:
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues. ACL (1) 2022: 5956-5968 - [c5]Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty:
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. EMNLP 2022: 7701-7715 - [i7]Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty:
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues. CoRR abs/2203.06419 (2022) - [i6]Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty:
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. CoRR abs/2210.04710 (2022) - 2021
- [c4]Atharva Kulkarni, Amey Hengle, Pradnya Kulkarni, Manisha Marathe:
Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations. LOUHI@EACL 2021: 83-93 - [c3]Atharva Kulkarni, Sunanda Somwase, Shivam Rajput, Manisha Marathe:
PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction. WASSA@EACL 2021: 105-111 - [c2]Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar, Raviraj Joshi:
L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset. WASSA@EACL 2021: 213-220 - [i5]Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar, Jayashree Jagdale, Raviraj Joshi:
Experimental Evaluation of Deep Learning models for Marathi Text Classification. CoRR abs/2101.04899 (2021) - [i4]Atharva Kulkarni, Amey Hengle, Rutuja Udyawar:
An Attention Ensemble Approach for Efficient Text Classification of Indian Languages. CoRR abs/2102.10275 (2021) - [i3]Atharva Kulkarni, Sunanda Somwase, Shivam Rajput, Manisha Marathe:
PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction. CoRR abs/2103.03296 (2021) - [i2]Atharva Kulkarni, Meet Mandhane, Manali Likhitkar, Gayatri Kshirsagar, Raviraj Joshi:
L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset. CoRR abs/2103.11408 (2021) - [i1]Crescentia Jung, Shubham Mehta, Atharva Kulkarni, Yuhang Zhao, Yea-Seul Kim:
Communicating Visualizations without Visuals: Investigation of Visualization Alternative Text for People with Visual Impairments. CoRR abs/2108.03657 (2021)
2010 – 2019
- 2018
- [c1]Srinivas Doddipalli, Atharva Kulkarni, Prathamesh Kaole, Ashwin Kothari:
Slotted Substrate Miniaturized Ultra Wideband Antenna for WBAN Applications. ICCCNT 2018: 1-4
Coauthor Index
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last updated on 2025-04-09 22:21 CEST by the dblp team
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