| 2026 | AAAI | How Reasoning Influences Intersectional Biases in Vision-Language Models (Student Abstract). | Adit Desai, Sudipta Roy, Mohna Chakraborty |
| 2025 | ACL | Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked? | Seok Hwan Song, Mohna Chakraborty, Qi Li, Wallapak Tavanapong |
| 2025 | EMNLP | Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework. | Mohna Chakraborty, Lu Wang, David Jurgens |
| 2025 | PAKDD | Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2025 | PAKDD | Beyond Single Parsers: An Empirical Analysis of Dependency Parse Tree Aggregation. | Adithya Kulkarni, Mohna Chakraborty, Oliver Eulenstein, Qi Li |
| 2025 | WWW | Empirical Evaluation of Prompting Strategies for Fact Verification Tasks. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2025 | UAI | Budget Allocation Exploiting Label Correlation between Instances. | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li |
| 2025 | SDM | Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs. | Adithya Kulkarni, Mohna Chakraborty |
| 2023 | ACL | Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |
| 2023 | UAI | Optimal Budget Allocation for Crowdsourcing Labels for Graphs. | Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li |
| 2022 | KDD | Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. | Mohna Chakraborty, Adithya Kulkarni, Qi Li |