3 citations · 3 across the 2 of their papers we have counts for
3 papers
FinSafeGuard: A Quality-Driven Synthetic Dataset for Financial AI Safety
Joseph Thomas Thacil, Reetu Raj Harsh, Krati Saxena +2
Generating high-quality synthetic datasets at scale remains a fundamental challenge for training specialized AI systems in data-scarce domains. We present a comprehensive methodolo…
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…
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…