Stefano Pasquali

According to our database, Stefano Pasquali authored at least 27 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FinReflectKG - HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems.

Mahesh Kumar, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, March, 2026

Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services.

Fabrizio Dimino, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, March, 2026

Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao

ACM Comput. Surv., February, 2026

2025

FinCARE: Financial Causal Analysis with Reasoning and Evidence.

Alejandro Michel, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

FinReflectKG - EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation.

Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models.

Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

FinReflectKG - MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence.

Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling.

Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali

CoRR, October, 2025

AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions.

Tianjiao Zhao, Jingrao Lyu, Stokes Jones, Harrison Garber, Stefano Pasquali, Dhagash Mehta

CoRR, August, 2025

Supervised Similarity for Firm Linkages.

Ryan Samson, Adrian Banner, Luca Candelori, Sebastien Cottrell, Tiziana di Matteo, Paul Duchnowski, Vahagn Kirakosyan, Jose Marques, Kharen Musaelian, Stefano Pasquali, Ryan Stever, Dario Villani

CoRR, June, 2025

Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals.

Gregory Yampolsky, Dhruv Desai, Mingshu Li, Stefano Pasquali, Dhagash Mehta

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5.

Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs.

Abhinav Arun, Fabrizio Dimino, Tejas Prakash Agarwal, Bhaskarjit Sarmah, Stefano Pasquali

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

2024

A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation.

Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan, Sachin Tiwari, Stefano Pasquali, Dhagash Mehta

CoRR, 2024

How to Choose a Threshold for an Evaluation Metric for Large Language Models.

Bhaskarjit Sarmah, Mingshu Li, Jingrao Lyu, Sebastian Frank, Nathalia M. Castellanos, Stefano Pasquali, Dhagash Mehta

CoRR, 2024

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction.

Bhaskarjit Sarmah, Dhagash Mehta, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Enhanced Local Explainability and Trust Scores with Random Forest Proximities.

Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Open Set Recognition for Random Forest.

Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Can an unsupervised clustering algorithm reproduce a categorization system?

Nathalia M. Castellanos, Sebastian Frank, Dhruv Desai, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Company Similarity Using Large Language Models.

Dimitrios Vamvourellis, Máté Tóth, Snigdha Bhagat, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2024

Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning.

Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2024

2023

Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach.

Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali

CoRR, 2023

Quantifying Outlierness of Funds from their Categories using Supervised Similarity.

Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Towards reducing hallucination in extracting information from financial reports using Large Language Models.

Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu

Proceedings of the Third International Conference on AI-ML Systems, 2023

2022

Learning Mutual Fund Categorization using Natural Language Processing.

Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Supervised similarity learning for corporate bonds using Random Forest proximities.

Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, Peter Chu, Stefano Pasquali, Philip Sommer

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2013

TV program detection in tweets.

Paolo Cremonesi, Roberto Pagano, Stefano Pasquali, Roberto Turrin

Proceedings of the 11th European Conference on Interactive TV and Video, 2013