Keane Ong
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View article: Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding
Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding Open
Using intelligent systems to perceive psychological and social behaviors, that is, the underlying affective, cognitive, and pathological states that are manifested through observable behaviors and social interactions, remains a challenge d…
View article: Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation Open
Counterfactual reasoning typically involves considering alternatives to actual events. While often applied to understand past events, a distinct form-forward counterfactual reasoning-focuses on anticipating plausible future developments. T…
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics Open
Accurate assessments of extreme weather events are vital for research and policy, yet localized and granular data remain scarce in many parts of the world. This data gap limits our ability to analyze potential outcomes and implications of …
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization Open
Sustainability reports are key for evaluating companies' environmental, social and governance, ESG performance, but their content is increasingly obscured by greenwashing - sustainability claims that are misleading, exaggerated, and fabric…
ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis Open
Evaluating corporate sustainability performance is essential to drive sustainable business practices, amid the need for a more sustainable economy. However, this is hindered by the complexity and volume of corporate sustainability data (i.…
FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis Open
This paper presents a novel approach for explainability in financial analysis by deriving financially-explainable statistical relationships through aspect-based sentiment analysis, Pearson correlation, Granger causality & uncertainty coeff…