Adithya Kulkarni

36 papers A* 2A 5B 2Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Large Language Models on Solved and Unsolved Problems in Graph Theory: Implications for Computing Education. CoRR Adithya Kulkarni, Mohna Chakraborty, Jay Bagga
2025	—	`conf`	Beyond Single Parsers: An Empirical Analysis of Dependency Parse Tree Aggregation. PAKDD (Workshops) Adithya Kulkarni, Mohna Chakraborty, Oliver Eulenstein, Qi Li
2025	A	`conf`	Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs. SDM Adithya Kulkarni, Mohna Chakraborty
2025	A	`conf`	Budget Allocation Exploiting Label Correlation between Instances. UAI Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li
2025	J	`jnl`	DISPROTBENCH: A Disorder-Aware, Task-Rich Benchmark for Evaluating Protein Structure Prediction in Realistic Biological Contexts. CoRR Xinyue Zeng, Tuo Wang, Adithya Kulkarni, Alexander Lu, Alexandra Ni, Phoebe Xing, Junhan Zhao, Siwei Chen, Dawei Zhou
2025	J	`jnl`	DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis. CoRR Bowen Xu, Xinyue Zeng, Jiazhen Hu, Tuo Wang, Adithya Kulkarni
2025	—	`conf`	Empirical Evaluation of Prompting Strategies for Fact Verification Tasks. WWW (Companion Volume) Mohna Chakraborty, Adithya Kulkarni, Qi Li
2025	—	`conf`	GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. EMNLP (Findings) Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025	J	`jnl`	GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models. CoRR Tuo Wang, Adithya Kulkarni, Tyler Cody, Peter A. Beling, Yujun Yan, Dawei Zhou
2025	A	`conf`	Heterogeneous Multi-Agent Framework for Dynamic Generalized Category Discovery. SDM Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou
2025	—	`conf`	MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. NAACL (System Demonstrations) 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	—	`conf`	Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios. PAKDD (1) Mohna Chakraborty, Adithya Kulkarni, Qi Li
2025	J	`jnl`	Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios. CoRR Mohna Chakraborty, Adithya Kulkarni, Qi Li
2025	—	`conf`	Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. KDD (2) Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou
2025	J	`jnl`	Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks. CoRR Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou
2025	—	`conf`	SciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments. EMNLP (Findings) Joshua Alan Flashner, Adithya Kulkarni, Dawei Zhou
2025	J	`jnl`	Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions. CoRR Adithya Kulkarni, Fatimah Alotaibi, Xinyue Zeng, Longfeng Wu, Tong Zeng, Barry Menglong Yao, Minqian Liu, Shuaicheng Zhang, Lifu Huang, Dawei Zhou
2025	—	`conf`	The End of Trial-and-Error: A Vision for Generative Intelligence in Metamaterial Design. ICDM (Workshops) Adithya Kulkarni, Haohui Wang, Wangzhi Zhan, Jianpeng Chen, Dawei Zhou
2025	—	`conf`	Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. WWW (Companion Volume) Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou
2025	J	`jnl`	Weakly Supervised Open-Domain Aspect-Based Sentiment Analysis. ACM Trans. Knowl. Discov. Data Mohna Chakraborty, Adithya Kulkarni, Qi Li
2024	J	`jnl`	Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation. CoRR Adithya Kulkarni, Oliver Eulenstein, Qi Li
2024	B	`conf`	Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic. IEEE Big Data Fatimah Alotaibi, Adithya Kulkarni, Dawei Zhou
2024	J	`jnl`	MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. CoRR 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
2024	J	`jnl`	Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. CoRR 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
2024	B	`conf`	Towards Effective Long Conversation Generation with Dynamic Topic Tracking and Recommendation. INLG Trevor Ashby, Adithya Kulkarni, Jingyuan Qi, Minqian Liu, Eunah Cho, Vaibhav Kumar, Lifu Huang
2023	J	`jnl`	An Empirical Study of Using ChatGPT for Fact Verification Task. CoRR Mohna Chakraborty, Adithya Kulkarni, Qi Li
2023	J	`jnl`	Beryllium: Neural Search for Algorithm Implementations. CoRR Adithya Kulkarni, Mohna Chakraborty, Yonas Sium, Sai Charishma Valluri, Wei Le, Qi Li
2023	A	`conf`	Optimal Budget Allocation for Crowdsourcing Labels for Graphs. UAI Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li
2023	—	`conf`	Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. ACL (1) Mohna Chakraborty, Adithya Kulkarni, Qi Li
2023	J	`jnl`	Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. CoRR Mohna Chakraborty, Adithya Kulkarni, Qi Li
2022	A	`conf`	CPTAM: Constituency Parse Tree Aggregation Method. SDM Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li
2022	J	`jnl`	CPTAM: Constituency Parse Tree Aggregation Method. CoRR Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li
2022	A*	`conf`	Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. KDD Mohna Chakraborty, Adithya Kulkarni, Qi Li
2021	A*	`conf`	Truth Discovery in Sequence Labels from Crowds. ICDM Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
2021	J	`jnl`	Truth Discovery in Sequence Labels from Crowds. CoRR Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
2020	—	`conf`	OptSLA: an Optimization-Based Approach for Sequential Label Aggregation. EMNLP (Findings) Nasim Sabetpour, Adithya Kulkarni, Qi Li

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.