Bhaskarjit Sarmah

According to our database, Bhaskarjit Sarmah authored at least 20 papers between 2023 and 2026.

Collaborative distances:

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

2026

Benchmarking Open-Source Safety Guard Models: A Comprehensive Evaluation.

Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, May, 2026

FinReflectKG - HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems.

Mahesh Kumar, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, March, 2026

Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services.

Fabrizio Dimino, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, March, 2026

2025

Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI.

Samarth Sarin, Lovepreet Singh, Bhaskarjit Sarmah, Dhagash Mehta

CoRR, December, 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

Similarity-based Conformal Prediciton using Random Forest Proximities.

Mingshu Li, Dhruv Desai, Bhaskarjit Sarmah, Snigdha Bhagat, Dhagash Mehta

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5.

Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs.

Abhinav Arun, Fabrizio Dimino, Tejas Prakash Agarwal, Bhaskarjit Sarmah, Stefano Pasquali

Proceedings of the 6th ACM International Conference on AI in Finance, 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