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cs.CL2025
Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?
Seok Hwan Song, Mohna Chakraborty, Qi Li +1
Large Language Models (LLMs) have been evaluated using diverse question types, e.g., multiple-choice, true/false, and short/long answers. This study answers an unexplored question…
cs.CL2025
Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios
Mohna Chakraborty, Adithya Kulkarni, Qi Li
Prompt-based methods leverage the knowledge of pre-trained language models (PLMs) trained with a masked language modeling (MLM) objective; however, these methods are sensitive to t…
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…