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ORCIDAtharva Naik
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2020 – today
- 2024
[c10]Atharva Naik, Yash Parag Butala, Navaneethan Vaikunthan, Raghav Kapoor:
SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract). AAAI 2024: 23592-23593- [c9]Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé
:
Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. AIED (1) 2024: 46-59 - [c8]Abhinav Rao, Atharva Naik, Sachin Vashistha, Somak Aditya, Monojit Choudhury:
Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks. LREC/COLING 2024: 16802-16830 - [i11]Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd F. Sakr, Carolyn P. Rosé:
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. CoRR abs/2404.18262 (2024) - [i10]Atharva Naik:
On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation. CoRR abs/2405.01580 (2024) - [i9]Atharva Naik, Kexun Zhang, Nathaniel Robinson, Aravind Mysore, Clayton Marr, Hong Sng Rebecca Byrnes, Anna Cai, Kalvin Chang, David R. Mortensen:
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction. CoRR abs/2406.12725 (2024) - [i8]Atharva Naik, Marcus Alenius, Daniel Fried, Carolyn P. Rosé:
CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells. CoRR abs/2409.19801 (2024) - 2023
- [c7]Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé:
Data Augmentation for Code Translation with Comparable Corpora and Multiple References. EMNLP (Findings) 2023: 13725-13739 - [c6]Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou:
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. ICLR 2023 - [c5]Atharva Naik, Soumitra Das, Jyothi Vedurada, Somak Aditya:
SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search. IJCNLP (1) 2023: 83-103 - [i7]Abhinav Rao, Sachin Vashistha, Atharva Naik, Somak Aditya, Monojit Choudhury:
Tricking LLMs into Disobedience: Understanding, Analyzing, and Preventing Jailbreaks. CoRR abs/2305.14965 (2023) - [i6]Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé:
Data Augmentation for Code Translation with Comparable Corpora and Multiple References. CoRR abs/2311.00317 (2023) - 2022
- [j1]Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Behrouz H. Far:
Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Syst. Appl. 199: 116830 (2022) - [c4]Suryateja BV, Jeet Patel, Atharva Naik, Yash Parag Butala, Sristy Sharma, Niyati Chhaya:
Towards Enabling Synchronous Digital Creative Collaboration: Codifying Conflicts in Co-Coloring. CHI Extended Abstracts 2022: 255:1-255:7 - [c3]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, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen:
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [c2]Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. NAACL-HLT 2022: 1718-1734 - [i5]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, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - 2021
- [c1]Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. SIGIR 2021: 2303-2307 - [i4]Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly:
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach. CoRR abs/2105.03983 (2021) - [i3]Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou:
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic. CoRR abs/2109.08927 (2021) - [i2]Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal:
Representation Learning for Conversational Data using Discourse Mutual Information Maximization. CoRR abs/2112.05787 (2021) - 2020
- [i1]Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik, Soham Dasgupta:
How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter. CoRR abs/2008.09035 (2020)
Coauthor Index
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