Stefano Pasquali

33 papers Journal 19Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. 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
2026	J	`jnl`	FinReflectKG - HalluBench: GraphRAG Hallucination Benchmark for Financial Question Answering Systems. CoRR Mahesh Kumar, Bhaskarjit Sarmah, Stefano Pasquali
2026	J	`jnl`	Risk-Adjusted Harm Scoring for Automated Red Teaming for LLMs in Financial Services. CoRR Fabrizio Dimino, Bhaskarjit Sarmah, Stefano Pasquali
2025	J	`jnl`	AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions. CoRR Tianjiao Zhao, Jingrao Lyu, Stokes Jones, Harrison Garber, Stefano Pasquali, Dhagash Mehta
2025	—	`conf`	Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals. ICAIF Gregory Yampolsky, Dhruv Desai, Mingshu Li, Stefano Pasquali, Dhagash Mehta
2025	J	`jnl`	FINCH: Financial Intelligence using Natural language for Contextualized SQL Handling. CoRR Avinash Kumar Singh, Bhaskarjit Sarmah, Stefano Pasquali
2025	J	`jnl`	FinCARE: Financial Causal Analysis with Reasoning and Evidence. CoRR Alejandro Michel, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali
2025	J	`jnl`	FinReflectKG - EvalBench: Benchmarking Financial KG with Multi-Dimensional Evaluation. CoRR Fabrizio Dimino, Abhinav Arun, Bhaskarjit Sarmah, Stefano Pasquali
2025	J	`jnl`	FinReflectKG - MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence. CoRR Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali
2025	—	`conf`	FinReflectKG: Agentic Construction and Evaluation of Financial Knowledge Graphs. ICAIF Abhinav Arun, Fabrizio Dimino, Tejas Prakash Agarwal, Bhaskarjit Sarmah, Stefano Pasquali
2025	J	`jnl`	Supervised Similarity for Firm Linkages. CoRR 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
2025	—	`conf`	Tracing Positional Bias in Financial Decision-Making: Mechanistic Insights from Qwen2.5. ICAIF Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali
2025	J	`jnl`	Uncovering Representation Bias for Investment Decisions in Open-Source Large Language Models. CoRR Fabrizio Dimino, Krati Saxena, Bhaskarjit Sarmah, Stefano Pasquali
2024	J	`jnl`	A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation. CoRR Bhaskarjit Sarmah, Kriti Dutta, Anna Grigoryan, Sachin Tiwari, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	Can an unsupervised clustering algorithm reproduce a categorization system? ICAIF Nathalia M. Castellanos, Sebastian Frank, Dhruv Desai, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	Can an unsupervised clustering algorithm reproduce a categorization system? CoRR Nathalia M. Castellanos, Dhruv Desai, Sebastian Frank, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals. CoRR Gregory Yampolsky, Dhruv Desai, Mingshu Li, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	Company Similarity Using Large Language Models. CIFEr Dimitrios Vamvourellis, Máté Tóth, Snigdha Bhagat, Dhruv Desai, Dhagash Mehta, Stefano Pasquali
2024	—	`conf`	Enhanced Local Explainability and Trust Scores with Random Forest Proximities. ICAIF Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	How to Choose a Threshold for an Evaluation Metric for Large Language Models. CoRR Bhaskarjit Sarmah, Mingshu Li, Jingrao Lyu, Sebastian Frank, Nathalia M. Castellanos, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. ICAIF Bhaskarjit Sarmah, Dhagash Mehta, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali
2024	J	`jnl`	HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. CoRR Bhaskarjit Sarmah, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali, Dhagash Mehta
2024	—	`conf`	Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning. CIFEr Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali
2024	—	`conf`	Open Set Recognition for Random Forest. ICAIF Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta
2024	J	`jnl`	Open Set Recognition for Random Forest. CoRR Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta
2023	—	`conf`	Quantifying Outlierness of Funds from their Categories using Supervised Similarity. ICAIF Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali
2023	J	`jnl`	Quantifying Outlierness of Funds from their Categories using Supervised Similarity. CoRR Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali
2023	J	`jnl`	Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach. CoRR Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali
2023	—	`conf`	Towards reducing hallucination in extracting information from financial reports using Large Language Models. AIMLSystems Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu
2023	J	`jnl`	Towards reducing hallucination in extracting information from financial reports using Large Language Models. CoRR Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali
2022	—	`conf`	Learning Mutual Fund Categorization using Natural Language Processing. ICAIF Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali
2022	—	`conf`	Supervised similarity learning for corporate bonds using Random Forest proximities. ICAIF Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, Peter Chu, Stefano Pasquali, Philip Sommer
2013	—	`conf`	TV program detection in tweets. EuroITV Paolo Cremonesi, Roberto Pagano, Stefano Pasquali, Roberto Turrin