Atharva Naik

36 papers A* 6Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models.
CoRR
Manav Nitin Kapadnis, Lawanya Baghel, Atharva Naik, Carolyn P. Rosé
2026 A* conf
PRAGWORLD: A Benchmark Evaluating LLMs' Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics.
AAAI
Sachin Vashistha, Aryan Bibhuti, Atharva Naik, Martin Tutek, Somak Aditya
2026 J jnl
Sima AIunty: Caste Audit in LLM-Driven Matchmaking.
CoRR
Atharva Naik, Shounok Kar, Varnika Sharma, Ashwin Rajadesingan, Koustuv Saha
2025 A* conf
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation.
EMNLP
Shubham Gandhi, Atharva Naik, Yiqing Xie, Carolyn P. Rosé
2025 J jnl
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation.
CoRR
Shubham Gandhi, Atharva Naik, Yiqing Xie, Carolyn P. Rosé
2025 J jnl
CRScore++: Reinforcement Learning with Verifiable Tool and AI Feedback for Code Review.
CoRR
Manav Nitin Kapadnis, Atharva Naik, Carolyn P. Rosé
2025 — conf
CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells.
NAACL (Long Papers)
Atharva Naik, Marcus Alenius, Daniel Fried, Carolyn P. Rosé
2025 J jnl
Latent Traits and Cross-Task Transfer: Deconstructing Dataset Interactions in LLM Fine-tuning.
CoRR
Shambhavi Krishna, Atharva Naik, Chaitali Agarwal, Sudharshan Govindan, Taesung Lee, Haw-Shiuan Chang
2025 J jnl
MetaLint: Generalizable Idiomatic Code Quality Analysis through Instruction-Following and Easy-to-Hard Generalization.
CoRR
Atharva Naik, Lawanya Baghel, Dhakshin Govindarajan, Darsh Agrawal, Daniel Fried, Carolyn P. Rosé
2025 J jnl
PBEBench: A Multi-Step Programming by Examples Reasoning Benchmark inspired by Historical Linguistics.
CoRR
Atharva Naik, Darsh Agrawal, Manav Nitin Kapadnis, Yuwei An, Yash Mathur, Carolyn P. Rosé, David R. Mortensen
2025 J jnl
PragWorld: A Benchmark Evaluating LLMs' Local World Model under Minimal Linguistic Alterations and Conversational Dynamics.
CoRR
Sachin Vashistha, Aryan Bibhuti, Atharva Naik, Martin Tutek, Somak Aditya
2025 — conf
Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.
ACL (1)
Atharva Naik, Darsh Agrawal, Hong Sng, Clayton Marr, Kexun Zhang, Nathaniel Romney Robinson, Kalvin Chang, Rebecca Byrnes, Aravind Mysore, Carolyn P. Rosé, David R. Mortensen
2025 J jnl
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.
CoRR
Atharva Naik, Darsh Agrawal, Hong Sng, Clayton Marr, Kexun Zhang, Nathaniel R. Robinson, Kalvin Chang, Rebecca Byrnes, Aravind Mysore, Carolyn P. Rosé, David R. Mortensen
2025 J jnl
Providing tailored reflection instructions in collaborative learning using large language models.
Br. J. Educ. Technol.
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé
2024 J jnl
CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells.
CoRR
Atharva Naik, Marcus Alenius, Daniel Fried, Carolyn P. Rosé
2024 J jnl
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction.
CoRR
Atharva Naik, Kexun Zhang, Nathaniel R. Robinson, Aravind Mysore, Clayton Marr, Hong Sng, Rebecca Byrnes, Anna Cai, Kalvin Chang, David R. Mortensen
2024 — conf
Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning.
AIED (1)
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé
2024 J jnl
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning.
CoRR
Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd F. Sakr, Carolyn P. Rosé
2024 J jnl
On the Limitations of Embedding Based Methods for Measuring Functional Correctness for Code Generation.
CoRR
Atharva Naik
2024 A* conf
SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract).
AAAI
Atharva Naik, Yash Parag Butala, Navaneethan Vaikunthan, Raghav Kapoor
2024 — conf
Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks.
LREC/COLING
Abhinav Rao, Atharva Naik, Sachin Vashistha, Somak Aditya, Monojit Choudhury
2023 — conf
Data Augmentation for Code Translation with Comparable Corpora and Multiple References.
EMNLP (Findings)
Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé
2023 J jnl
Data Augmentation for Code Translation with Comparable Corpora and Multiple References.
CoRR
Yiqing Xie, Atharva Naik, Daniel Fried, Carolyn P. Rosé
2023 — conf
SYNC: A Structurally Guided Hard Negative Curricula for Generalizable Neural Code Search.
IJCNLP (1)
Atharva Naik, Soumitra Das, Jyothi Vedurada, Somak Aditya
2023 J jnl
Tricking LLMs into Disobedience: Understanding, Analyzing, and Preventing Jailbreaks.
CoRR
Abhinav Rao, Sachin Vashistha, Atharva Naik, Somak Aditya, Monojit Choudhury
2023 A* conf
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic.
ICLR
Zijun Wu, Zi Xuan Zhang, Atharva Naik, Zhijian Mei, Mauajama Firdaus, Lili Mou
2022 J jnl
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.
CoRR
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
2022 J jnl
Reinforcement learning in urban network traffic signal control: A systematic literature review.
Expert Syst. Appl.
Mohammad Noaeen, Atharva Naik, Liana Goodman, Jared Crebo, Taimoor Abrar, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Behrouz H. Far
2022 — conf
Representation Learning for Conversational Data using Discourse Mutual Information Maximization.
NAACL-HLT
Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal
2022 A* conf
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.
EMNLP
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
2022 — conf
Towards Enabling Synchronous Digital Creative Collaboration: Codifying Conflicts in Co-Coloring.
CHI Extended Abstracts
Suryateja BV, Jeet Patel, Atharva Naik, Yash Parag Butala, Sristy Sharma, Niyati Chhaya
2021 J jnl
Representation Learning for Conversational Data using Discourse Mutual Information Maximization.
CoRR
Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal
2021 A* conf
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach.
SIGIR
Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly
2021 J jnl
Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach.
CoRR
Rajdeep Mukherjee, Atharva Naik, Sriyash Poddar, Soham Dasgupta, Niloy Ganguly
2021 J jnl
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic.
CoRR
Zijun Wu, Atharva Naik, Zi Xuan Zhang, Lili Mou
2020 J jnl
How Have We Reacted To The COVID-19 Pandemic? Analyzing Changing Indian Emotions Through The Lens of Twitter.
CoRR
Rajdeep Mukherjee, Sriyash Poddar, Atharva Naik, Soham Dasgupta