Mohna Chakraborty

According to our database, Mohna Chakraborty authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

Evaluating Large Language Models on Solved and Unsolved Problems in Graph Theory: Implications for Computing Education.

Adithya Kulkarni, Mohna Chakraborty, Jay Bagga

CoRR, February, 2026

How Reasoning Influences Intersectional Biases in Vision-Language Models (Student Abstract).

Adit Desai, Sudipta Roy, Mohna Chakraborty

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

How Reasoning Influences Intersectional Biases in Vision Language Models.

Adit Desai, Sudipta Roy, Mohna Chakraborty

CoRR, November, 2025

Weakly Supervised Open-Domain Aspect-Based Sentiment Analysis.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

ACM Trans. Knowl. Discov. Data, August, 2025

MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization.

Ankan Deria, Dwarikanath Mahapatra, Behzad Bozorgtabar, Mohna Chakraborty, Snehashis Chakraborty, Sudipta Roy

CoRR, August, 2025

Empirical Evaluation of Prompting Strategies for Fact Verification Tasks.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Budget Allocation Exploiting Label Correlation between Instances.

Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs.

Adithya Kulkarni, Mohna Chakraborty

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Beyond Single Parsers: An Empirical Analysis of Dependency Parse Tree Aggregation.

Adithya Kulkarni, Mohna Chakraborty, Oliver Eulenstein, Qi Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2025

Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios.

Mohna Chakraborty, Adithya Kulkarni, Qi Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework.

Mohna Chakraborty, Lu Wang, David Jurgens

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked?

Seok Hwan Song, Mohna Chakraborty, Qi Li, Wallapak Tavanapong

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Analysis of textual-based reviews with minimal supervision.

Mohna Chakraborty

PhD thesis, 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

An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models.

Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan

CoRR, 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

Does reusing pre-trained NLP model propagate bugs?

Mohna Chakraborty

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021