Papers by Gianmarco Mengaldo

2 papers
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization (2025.acl-long)

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Challenge: Existing NLP methods lack robustness against greenwashed ESG content . existing methods often extract insights that reflect misleading or exaggerated sustainability claims rather than objective ESG performance.
Approach: They propose to use a dataset to improve the robustness of ESG analysis amid the prevalence of greenwashing to analyze sustainability reports.
Outcome: The proposed model improves robustness against greenwashed claims rather than objective ESG performance.
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation (2025.emnlp-main)

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Challenge: Existing methods for forward counterfactual generation face limitations . large language models (LLMs) offer promise but remain unexplored for this application .
Approach: They propose a benchmark to support forward counterfactual generation in finance . they use financial news headlines to curate financial news and provide structured evaluation .
Outcome: The proposed benchmark aims to provide scalable, automated insights into potential market opportunities and risks for stakeholders.

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