Bhaskarjit Sarmah

According to our database, Bhaskarjit Sarmah authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

FinCARE: Financial Causal Analysis with Reasoning and Evidence.

Alejandro Michel, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

FinReflectKG - EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation.

Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models.

Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

FinReflectKG - MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence.

Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling.

Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

2024

A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation.

Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan, Sachin Tiwari, Stefano Pasquali, Dhagash Mehta

CoRR, 2024

How to Choose a Threshold for an Evaluation Metric for Large Language Models.

Bhaskarjit Sarmah, Mingshu Li, Jingrao Lyu, Sebastian Frank, Nathalia M. Castellanos, Stefano Pasquali, Dhagash Mehta

CoRR, 2024

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction.

Bhaskarjit Sarmah, Dhagash Mehta, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Enhanced Local Explainability and Trust Scores with Random Forest Proximities.

Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Quantile Regression using Random Forest Proximities.

Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning.

Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2024

2023

Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach.

Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali

CoRR, 2023

Towards reducing hallucination in extracting information from financial reports using Large Language Models.

Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu

Proceedings of the Third International Conference on AI-ML Systems, 2023