Adithya Kulkarni

According to our database, Adithya Kulkarni authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation.

Adithya Kulkarni, Oliver Eulenstein, Qi Li

CoRR, 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