3 papers
cs.CL2025
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions
Adithya Kulkarni, Fatimah Alotaibi, Xinyue Zeng +7
Large Language Models (LLMs) are transforming scientific hypothesis generation and validation by enabling information synthesis, latent relationship discovery, and reasoning augmen…
cs.CL2024
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation
Adithya Kulkarni, Oliver Eulenstein, Qi Li
Dependency parsing is an essential task in NLP, and the quality of dependency parsers is crucial for many downstream tasks. Parsers' quality often varies depending on the domain an…
cs.IR2023
An Empirical Study of Using ChatGPT for Fact Verification Task
Mohna Chakraborty, Adithya Kulkarni, Qi Li
ChatGPT has recently emerged as a powerful tool for performing diverse NLP tasks. However, ChatGPT has been criticized for generating nonfactual responses, raising concerns about i…