1 citations · 2 across the 10 of their papers we have counts for
10 papers
Evaluating Large Language Models on Solved and Unsolved Problems in Graph Theory: Implications for Computing Education
Adithya Kulkarni, Mohna Chakraborty, Jay Bagga
Large Language Models are increasingly used by students to explore advanced material in computer science, including graph theory. As these tools become integrated into undergraduat…
How Reasoning Influences Intersectional Biases in Vision Language Models
Adit Desai, Sudipta Roy, Mohna Chakraborty
Vision Language Models (VLMs) are increasingly deployed across downstream tasks, yet their training data often encode social biases that surface in outputs. Unlike humans, who inte…
MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization
Ankan Deria, Dwarikanath Mahapatra, Behzad Bozorgtabar +3
Virtual try-on seeks to generate photorealistic images of individuals in desired garments, a task that must simultaneously preserve personal identity and garment fidelity for pract…
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…
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…
Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework
Mohna Chakraborty, Lu Wang, David Jurgens
Large language models (LLMs) are increasingly deployed in domains requiring moral understanding, yet their reasoning often remains shallow, and misaligned with human reasoning. Unl…
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…
Beryllium: Neural Search for Algorithm Implementations
Adithya Kulkarni, Mohna Chakraborty, Yonas Sium +3
In this paper, we explore the feasibility of finding algorithm implementations from code. Successfully matching code and algorithms can help understand unknown code, provide refere…
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts
Mohna Chakraborty, Adithya Kulkarni, Qi Li
Recent studies have demonstrated that natural-language prompts can help to leverage the knowledge learned by pre-trained language models for the binary sentence-level sentiment cla…
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models
Rangeet Pan, Sumon Biswas, Mohna Chakraborty +2
In NLP, reusing pre-trained models instead of training from scratch has gained popularity; however, NLP models are mostly black boxes, very large, and often require significant res…