Papers by Chiara Colesanti Senni
AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments (2026.eacl-demo)
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Ario Saeid Vaghefi, Aymane Hachcham, Veronica Grasso, Nakiete Msemo, Chiara Colesanti Senni, Markus Leippold
| Challenge: | EWS financial flows are opaque and lack standardized labels, structures, and terminology for EWS-related spending. |
| Approach: | They propose an agent-based Retrieval-Augmented Generation system that uses hybrid retrieval and internal chain-of-thought reasoning to extract relevant financial data and classify EWS investments. |
| Outcome: | The proposed system outperforms four alternatives on multi-label classification and budget allocation on an annotated CREWS Fund corpus. |
Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG Approach (2025.emnlp-demos)
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| Challenge: | InfluenceMap's LobbyMap Platform monitors the climate policy engagement of over 500 companies and 250 industry associations . however, a significant portion of the analysis remains manual, making it time- and labor-intensive and susceptible to human error. |
| Approach: | They propose an AI-assisted framework that leverages Retrieval-Augmented Generation to accelerate the monitoring of corporate climate policy engagement. |
| Outcome: | The proposed framework accelerates the monitoring of corporate climate policy engagement by leveraging Retrieval-Augmented Generation to extract and classify evidence from multilingual corporate documents. |