Does reusing pre-trained NLP model propagate bugs? - Mohna Chakraborty (ESEC/SIGSOFT FSE, 2021)

Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. - Mohna Chakraborty; Adithya Kulkarni; Qi Li 012 (KDD, 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)

Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts. - Mohna Chakraborty; Adithya Kulkarni; Qi Li 012 (ACL (1), 2023)

Optimal Budget Allocation for Crowdsourcing Labels for Graphs. - Adithya Kulkarni; Mohna Chakraborty; Sihong Xie; Qi Li 012 (UAI, 2023)

Beryllium: Neural Search for Algorithm Implementations. - Adithya Kulkarni; Mohna Chakraborty; Yonas Sium; Sai Charishma Valluri; Wei Le; Qi Li 012 (CoRR, 2023)

An Empirical Study of Using ChatGPT for Fact Verification Task. - Mohna Chakraborty; Adithya Kulkarni; Qi Li 012 (CoRR, 2023)

Is Large Language Model Performance on Reasoning Tasks Impacted by Different Ways Questions Are Asked? - Seok Hwan Song; Mohna Chakraborty; Qi Li 012; Wallapak Tavanapong (ACL (Findings), 2025)

Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios. - Mohna Chakraborty; Adithya Kulkarni; Qi Li 012 (PAKDD (1), 2025)

Beyond Single Parsers: An Empirical Analysis of Dependency Parse Tree Aggregation. - Adithya Kulkarni; Mohna Chakraborty; Oliver Eulenstein; Qi Li 012 (PAKDD (Workshops), 2025)

Blue Sky: Reducing Performance Gap between Commercial and Open-Source LLMs. - Adithya Kulkarni; Mohna Chakraborty (SDM, 2025)

Budget Allocation Exploiting Label Correlation between Instances. - Adithya Kulkarni; Mohna Chakraborty; Sihong Xie; Qi Li 012 (UAI, 2025)

Empirical Evaluation of Prompting Strategies for Fact Verification Tasks. - Mohna Chakraborty; Adithya Kulkarni; Qi Li 012 (WWW (Companion Volume), 2025)

Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework. - Mohna Chakraborty; Lu Wang 008; David Jurgens (CoRR, 2025)