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ORCIDBhaskarjit Sarmah
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2020 – today
- 2026
[c9]Krati Saxena
, Bhaskarjit Sarmah, Stefano Pasquali:
ProvenanceTrace: Atomic Claim Verification Across Financial and Open-Domain AI Systems. 2026: 37-45- [i15]Fabrizio Dimino, Bhaskarjit Sarmah, Stefano Pasquali:
Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services. CoRR abs/2603.10807 (2026) - [i14]Mahesh Kumar, Bhaskarjit Sarmah, Stefano Pasquali:
FinReflectKG - HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems. CoRR abs/2603.20252 (2026) - [i13]Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali:
Benchmarking Open-Source Safety Guard Models: A Comprehensive Evaluation. CoRR abs/2605.28830 (2026) - 2025
- [c8]Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali:
Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5. ICAIF 2025: 96-104 - [c7]Abhinav Arun, Fabrizio Dimino, Tejas Prakash Agarwal, Bhaskarjit Sarmah, Stefano Pasquali:
FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs. ICAIF 2025: 283-290 - [c6]Mingshu Li, Dhruv Desai, Bhaskarjit Sarmah, Snigdha Bhagat, Dhagash Mehta:
Similarity-based Conformal Prediciton using Random Forest Proximities. ICAIF 2025: 387-395 - [i12]Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali:
FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling. CoRR abs/2510.01887 (2025) - [i11]Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali:
FinReflectKG - MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence. CoRR abs/2510.02906 (2025) - [i10]Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali:
Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models. CoRR abs/2510.05702 (2025) - [i9]Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali:
FinReflectKG - EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation. CoRR abs/2510.05710 (2025) - [i8]Alejandro Michel, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali:
FinCARE: Financial Causal Analysis with Reasoning and Evidence. CoRR abs/2510.20221 (2025) - [i7]Samarth Sarin, Lovepreet Singh, Bhaskarjit Sarmah, Dhagash Mehta:
Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI. CoRR abs/2512.12686 (2025) - 2024
- [c5]Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali:
Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning. CIFEr 2024: 1-9 - [c4]Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Stefano Pasquali, Dhagash Mehta:
Enhanced Local Explainability and Trust Scores with Random Forest Proximities. ICAIF 2024: 521-529 - [c3]Bhaskarjit Sarmah, Dhagash Mehta, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali:
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. ICAIF 2024: 608-616 - [c2]Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta:
Quantile Regression using Random Forest Proximities. ICAIF 2024: 728-736 - [i6]Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta:
Quantile Regression using Random Forest Proximities. CoRR abs/2408.02355 (2024) - [i5]Bhaskarjit Sarmah, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali, Dhagash Mehta:
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. CoRR abs/2408.04948 (2024) - [i4]Bhaskarjit Sarmah, Mingshu Li, Jingrao Lyu, Sebastian Frank, Nathalia M. Castellanos, Stefano Pasquali, Dhagash Mehta:
How to Choose a Threshold for an Evaluation Metric for Large Language Models. CoRR abs/2412.12148 (2024) - [i3]Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan, Sachin Tiwari, Stefano Pasquali, Dhagash Mehta:
A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation. CoRR abs/2412.15298 (2024) - 2023
- [c1]Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu:
Towards reducing hallucination in extracting information from financial reports using Large Language Models. AIMLSystems 2023: 39:1-39:5 - [i2]Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali:
Towards reducing hallucination in extracting information from financial reports using Large Language Models. CoRR abs/2310.10760 (2023) - [i1]Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali:
Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach. CoRR abs/2310.12428 (2023)
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