Bhaskarjit Sarmah

22 papers Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
FinReflectKG - HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems.
CoRR
Mahesh Kumar, Bhaskarjit Sarmah, Stefano Pasquali
2026 J jnl
Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services.
CoRR
Fabrizio Dimino, Bhaskarjit Sarmah, Stefano Pasquali
2025 J jnl
FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling.
CoRR
Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali
2025 J jnl
FinCARE: Financial Causal Analysis with Reasoning and Evidence.
CoRR
Alejandro Michel, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali
2025 J jnl
FinReflectKG - EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation.
CoRR
Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali
2025 J jnl
FinReflectKG - MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence.
CoRR
Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali
2025 — conf
FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs.
ICAIF
Abhinav Arun, Fabrizio Dimino, Tejas Prakash Agarwal, Bhaskarjit Sarmah, Stefano Pasquali
2025 J jnl
Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI.
CoRR
Samarth Sarin, Lovepreet Singh, Bhaskarjit Sarmah, Dhagash Mehta
2025 — conf
Similarity-based Conformal Prediciton using Random Forest Proximities.
ICAIF
Mingshu Li, Dhruv Desai, Bhaskarjit Sarmah, Snigdha Bhagat, Dhagash Mehta
2025 — conf
Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5.
ICAIF
Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali
2025 J jnl
Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models.
CoRR
Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali
2024 J jnl
A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation.
CoRR
Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan, Sachin Tiwari, Stefano Pasquali, Dhagash Mehta
2024 — conf
Enhanced Local Explainability and Trust Scores with Random Forest Proximities.
ICAIF
Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Stefano Pasquali, Dhagash Mehta
2024 J jnl
How to Choose a Threshold for an Evaluation Metric for Large Language Models.
CoRR
Bhaskarjit Sarmah, Mingshu Li, Jingrao Lyu, Sebastian Frank, Nathalia M. Castellanos, Stefano Pasquali, Dhagash Mehta
2024 — conf
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction.
ICAIF
Bhaskarjit Sarmah, Dhagash Mehta, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali
2024 J jnl
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction.
CoRR
Bhaskarjit Sarmah, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali, Dhagash Mehta
2024 — conf
Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning.
CIFEr
Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali
2024 — conf
Quantile Regression using Random Forest Proximities.
ICAIF
Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta
2024 J jnl
Quantile Regression using Random Forest Proximities.
CoRR
Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta
2023 J jnl
Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach.
CoRR
Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali
2023 — conf
Towards reducing hallucination in extracting information from financial reports using Large Language Models.
AIMLSystems
Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu
2023 J jnl
Towards reducing hallucination in extracting information from financial reports using Large Language Models.
CoRR
Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali