3 citations · 9 across the 19 of their papers we have counts for
5 papers · 1 filter
Benchmarking Open-Source Safety Guard Models: A Comprehensive Evaluation
Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali
As Large Language Models (LLMs) are increasingly deployed in safety-critical applications, robust content moderation becomes essential. We present a comprehensive evaluation of 14…
FinReflectKG -- HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems
Mahesh Kumar, Bhaskarjit Sarmah, Stefano Pasquali
As organizations increasingly integrate AI-powered question-answering systems into financial information systems for compliance, risk assessment, and decision support, ensuring the…
A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan +3
We argue that the Declarative Self-improving Python (DSPy) optimizers are a way to align the large language model (LLM) prompts and their evaluations to the human annotations. We p…
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Bhaskarjit Sarmah, Benika Hall, Rohan Rao +3
Extraction and interpretation of intricate information from unstructured text data arising in financial applications, such as earnings call transcripts, present substantial challen…
Towards reducing hallucination in extracting information from financial reports using Large Language Models
Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta +1
For a financial analyst, the question and answer (Q\&A) segment of the company financial report is a crucial piece of information for various analysis and investment decisions. How…