Bishwamittra Ghosh

According to our database, Bishwamittra Ghosh authored at least 27 papers between 2018 and 2026.

Collaborative distances:

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

2026

In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations.

Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander

CoRR, February, 2026

Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective.

Bishwamittra Ghosh, Soumi Das, Till Speicher, Qinyuan Wu, Mohammad Aflah Khan, Deepak Garg, Krishna P. Gummadi, Evimaria Terzi

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs.

Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar

CoRR, July, 2025

Rethinking Memorization Measures and their Implications in Large Language Models.

Bishwamittra Ghosh, Soumi Das, Qinyuan Wu, Mohammad Aflah Khan, Krishna P. Gummadi, Evimaria Terzi, Deepak Garg

CoRR, July, 2025

Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models.

Soumi Das, Camila Kolling, Mohammad Aflah Khan, Mahsa Amani, Bishwamittra Ghosh, Qinyuan Wu, Till Speicher, Krishna P. Gummadi

CoRR, February, 2025

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction.

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Logical Consistency of Large Language Models in Fact-Checking.

Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

History-Aware and Dynamic Client Contribution in Federated Learning.

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Active Fourier Auditor for Estimating Distributional Properties of ML Models.

Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications.

Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction.

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi

CoRR, 2024

Don't Forget What I did?: Assessing Client Contributions in Federated Learning.

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

CoRR, 2024

Split Learning of Multi-Modal Medical Image Classification.

Bishwamittra Ghosh, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023

Neighborhood-based Hypergraph Core Decomposition.

Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh

Proc. VLDB Endow., 2023

Interpretability and Fairness in Machine Learning: A Formal Methods Approach.

Bishwamittra Ghosh

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Social-Spatial Group Queries with Keywords.

Sajid Hasan Apon, Mohammed Eunus Ali, Bishwamittra Ghosh, Timos Sellis

ACM Trans. Spatial Algorithms Syst., 2022

Efficient Learning of Interpretable Classification Rules.

Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel

J. Artif. Intell. Res., 2022

How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

CoRR, 2022

Algorithmic Fairness Verification with Graphical Models.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Justicia: A Stochastic SAT Approach to Formally Verify Fairness.

Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis.

Daniel Neider, Bishwamittra Ghosh

CoRR, 2020

A Formal Language Approach to Explaining RNNs.

Bishwamittra Ghosh, Daniel Neider

CoRR, 2020

Classification Rules in Relaxed Logical Form.

Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A MaxSAT-Based Framework for Group Testing.

Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules.

Bishwamittra Ghosh, Kuldeep S. Meel

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

The Flexible Socio Spatial Group Queries.

Bishwamittra Ghosh, Mohammed Eunus Ali, Farhana Murtaza Choudhury, Sajid Hasan Apon, Timos Sellis, Jianxin Li

Proc. VLDB Endow., 2018