Adithya Kulkarni

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Empirical Analysis

Top Venues

Publications

Adithya Kulkarni, Oliver Eulenstein, Qi Li
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation. CoRR (2024)
Mohna Chakraborty, Adithya Kulkarni, Qi Li
An Empirical Study of Using ChatGPT for Fact Verification Task. CoRR (2023)
Mohna Chakraborty, Adithya Kulkarni, Qi Li
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. CoRR (2023)
Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li
Optimal Budget Allocation for Crowdsourcing Labels for Graphs. UAI (2023)
Mohna Chakraborty, Adithya Kulkarni, Qi Li
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. ACL (1) (2023)
Adithya Kulkarni, Mohna Chakraborty, Yonas Sium, Sai Charishma Valluri, Wei Le, Qi Li
Beryllium: Neural Search for Algorithm Implementations. CoRR (2023)
Mohna Chakraborty, Adithya Kulkarni, Qi Li
Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. KDD (2022)
Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li
CPTAM: Constituency Parse Tree Aggregation Method. CoRR (2022)
Adithya Kulkarni, Nasim Sabetpour, Alexey Markin, Oliver Eulenstein, Qi Li
CPTAM: Constituency Parse Tree Aggregation Method. SDM (2022)
Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
Truth Discovery in Sequence Labels from Crowds. CoRR (2021)
Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
Truth Discovery in Sequence Labels from Crowds. ICDM (2021)
Nasim Sabetpour, Adithya Kulkarni, Qi Li
OptSLA: an Optimization-Based Approach for Sequential Label Aggregation. EMNLP (Findings) (2020)