3 citations · 9 across the 19 of their papers we have counts for
9 papers · 1 filter
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…
Deep Reinforcement Learning for Optimum Order Execution: Mitigating Risk and Maximizing Returns
Khabbab Zakaria, Jayapaulraj Jerinsh, Andreas Maier +3
Optimal Order Execution is a well-established problem in finance that pertains to the flawless execution of a trade (buy or sell) for a given volume within a specified time frame.…
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…
FinCARE: Financial Causal Analysis with Reasoning and Evidence
Alejandro Michel, Abhinav Arun, Bhaskarjit Sarmah +1
Portfolio managers rely on correlation-based analysis and heuristic methods that fail to capture true causal relationships driving performance. We present a hybrid framework that i…
FinReflectKG -- MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence
Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah +1
Multi-hop reasoning over financial disclosures is often a retrieval problem before it becomes a reasoning or generation problem: relevant facts are dispersed across sections, filin…
FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling
Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali
Text-to-SQL, the task of translating natural language questions into SQL queries, has long been a central challenge in NLP. While progress has been significant, applying it to the…
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…