Atharva Naik

According to our database, Atharva Naik authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells.

Atharva Naik, Marcus Alenius, Daniel Fried, Carolyn P. Rosé

CoRR, 2024

Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction.

Atharva Naik, Kexun Zhang, Nathaniel Robinson, Aravind Mysore, Clayton Marr, Hong Sng Rebecca Byrnes, Anna Cai, Kalvin Chang, David R. Mortensen

CoRR, 2024

On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation.

Atharva Naik

CoRR, 2024

Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks.

Abhinav Rao, Atharva Naik, Sachin Vashistha, Somak Aditya, Monojit Choudhury

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning.

Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract).

Atharva Naik, Yash Parag Butala, Navaneethan Vaikunthan, Raghav Kapoor

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Tricking LLMs into Disobedience: Understanding, Analyzing, and Preventing Jailbreaks.

Abhinav Rao, Sachin Vashistha, Atharva Naik, Somak Aditya, Monojit Choudhury

CoRR, 2023

SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search.

Atharva Naik, Soumitra Das, Jyothi Vedurada, Somak Aditya

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic.

Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Data Augmentation for Code Translation with Comparable Corpora and Multiple References.

Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Reinforcement learning in urban network traffic signal control: A systematic literature review.

Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Behrouz H. Far

Expert Syst. Appl., 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.

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

CoRR, 2022

Representation Learning for Conversational Data using Discourse Mutual Information Maximization.

Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Enabling Synchronous Digital Creative Collaboration: Codifying Conflicts in Co-Coloring.

Suryateja BV, Jeet Patel, Atharva Naik, Yash Parag Butala, Sristy Sharma, Niyati Chhaya

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic.

Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou

CoRR, 2021

Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach.

Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter.

Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik, Soham Dasgupta

CoRR, 2020