Adithya Kulkarni

According to our database, Adithya Kulkarni authored at least 24 papers between 2020 and 2025.

Collaborative distances:

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

2025

Weakly Supervised Open-Domain Aspect-Based Sentiment Analysis.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

ACM Trans. Knowl. Discov. Data, August, 2025

DISPROTBENCH: A Disorder-Aware, Task-Rich Benchmark for Evaluating Protein Structure Prediction in Realistic Biological Contexts.

Xinyue Zeng, Tuo Wang, Adithya Kulkarni, Alexander Lu, Alexandra Ni, Phoebe Xing, Junhan Zhao, Siwei Chen, Dawei Zhou

CoRR, July, 2025

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks.

Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou

CoRR, July, 2025

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions.

Adithya Kulkarni, Fatimah Alotaibi, Xinyue Zeng, Longfeng Wu, Tong Zeng, Barry Menglong Yao, Minqian Liu, Shuaicheng Zhang, Lifu Huang, Dawei Zhou

CoRR, May, 2025

Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation.

Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Empirical Evaluation of Prompting Strategies for Fact Verification Tasks.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Budget Allocation Exploiting Label Correlation between Instances.

Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs.

Adithya Kulkarni, Mohna Chakraborty

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery.

Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Beyond Single Parsers: An Empirical Analysis of Dependency Parse Tree Aggregation.

Adithya Kulkarni, Mohna Chakraborty, Oliver Eulenstein, Qi Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2025

Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design.

Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang

CoRR, 2024

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.

Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang

CoRR, 2024

Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation.

Adithya Kulkarni, Oliver Eulenstein, Qi Li

CoRR, 2024

Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation.

Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang

Proceedings of the 17th International Natural Language Generation Conference, 2024

Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic.

Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou

Proceedings of the IEEE International Conference on Big Data, 2024

2023

An Empirical Study of Using ChatGPT for Fact Verification Task.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

CoRR, 2023

Beryllium: Neural Search for Algorithm Implementations.

Adithya Kulkarni, Mohna Chakraborty, Yonas Sium, Sai Charishma Valluri, Wei Le, Qi Li

CoRR, 2023

Optimal Budget Allocation for Crowdsourcing Labels for Graphs.

Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

CPTAM: Constituency Parse Tree Aggregation Method.

Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Truth Discovery in Sequence Labels from Crowds.

Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

OptSLA: an Optimization-Based Approach for Sequential Label Aggregation.

Nasim Sabetpour, Adithya Kulkarni, Qi Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020