6 citations · 9 across the 5 of their papers we have counts for
6 papers
Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services
Fabrizio Dimino, Bhaskarjit Sarmah, Stefano Pasquali
Existing LLM safety evaluations rely on binary attack-success rates and domain-agnostic taxonomies, leaving regulated Banking, Financial Services, and Insurance (BFSI) deployments…
Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models
Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah +1
Large Language Models are increasingly adopted in financial applications to support investment workflows. However, prior studies have seldom examined how these models reflect biase…
FinReflectKG -- EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation
Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah +1
Large language models (LLMs) are increasingly being used to extract structured knowledge from unstructured financial text. Although prior studies have explored various extraction m…
Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5
Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah +1
The growing adoption of large language models (LLMs) in finance exposes high-stakes decision-making to subtle, underexamined positional biases. The complexity and opacity of modern…
FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs
Abhinav Arun, Fabrizio Dimino, Tejas Prakash Agarwal +2
The financial domain poses unique challenges for knowledge graph (KG) construction at scale due to the complexity and regulatory nature of financial documents. Despite the critical…
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data
Yupeng Cao, Zhi Chen, Prashant Kumar +7
The integration of Artificial Intelligence (AI) techniques, particularly large language models (LLMs), in finance has garnered increasing academic attention. Despite progress, exis…