| 2025 | EMNLP | SciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments. | Joshua Alan Flashner, Adithya Kulkarni, Dawei Zhou |
| 2025 | EMNLP | GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. | Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou |
| 2025 | ICDM | The End of Trial-and-Error: A Vision for Generative Intelligence in Metamaterial Design. | Adithya Kulkarni, Haohui Wang, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou |
| 2025 | KDD | Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. | Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou |
| 2025 | NAACL | 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 |
| 2025 | PAKDD | Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2025 | PAKDD | Beyond Single Parsers: An Empirical Analysis of Dependency Parse Tree Aggregation. | Adithya Kulkarni, Mohna Chakraborty, Oliver Eulenstein, Qi Li |
| 2025 | WWW | Empirical Evaluation of Prompting Strategies for Fact Verification Tasks. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2025 | WWW | 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 |
| 2025 | UAI | Budget Allocation Exploiting Label Correlation between Instances. | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li |
| 2025 | SDM | Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery. | Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou |
| 2025 | SDM | Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs. | Adithya Kulkarni, Mohna Chakraborty |
| 2024 | INLG | 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 |
| 2023 | ACL | Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2023 | UAI | Optimal Budget Allocation for Crowdsourcing Labels for Graphs. | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li |
| 2022 | KDD | Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2022 | SDM | CPTAM: Constituency Parse Tree Aggregation Method. | Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li |
| 2021 | ICDM | Truth Discovery in Sequence Labels from Crowds. | Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li |
| 2020 | EMNLP | OptSLA: an Optimization-Based Approach for Sequential Label Aggregation. | Nasim Sabetpour, Adithya Kulkarni, Qi Li |