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20242026
most citedOmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization

2 citations · 2 across the 2 of their papers we have counts for

collaborators

11 papers

cs.AI20262 cited

OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization

Keane Ong, Sabri Boughorbel, Luwei Xiao +9

Socially intelligent AI systems must reason across diverse human behavioral tasks and generalize to new social contexts. However, behavioral data is inherently heterogeneous, compr…

cs.LG2026

SHALA-LLM: Smartly Handling Ambiguous Labels in Aligning LLMs

Jingyao Wu, Ashley Wang, Keane Ong +2

Many human-centered tasks, including natural language inference (NLI) and emotion recognition (ER), have multiple plausible interpretations, leading to label ambiguity and challeng…

cs.AI2026

Beyond Correlation: Refutation-Validated Aspect-Based Sentiment Analysis for Explainable Energy Market Returns

Wihan van der Heever, Keane Ong, Ranjan Satapathy +1

This paper proposes a refutation-validated framework for aspect-based sentiment analysis in financial markets, addressing the limitations of correlational studies that cannot disti…

cs.AI2026

Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding

Keane Ong, Wei Dai, Carol Li +8

Using intelligent systems to perceive psychological and social behaviors, that is, the underlying affective, cognitive, and pathological states that are manifested through observab…

cs.CL2026

Enhancing Language Models for Robust Greenwashing Detection

Neil Heinrich Braun, Keane Ong, Rui Mao +2

Sustainability reports are critical for ESG assessment, yet greenwashing and vague claims often undermine their reliability. Existing NLP models lack robustness to these practices,…

cs.CL2025

Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation

Keane Ong, Rui Mao, Deeksha Varshney +3

Counterfactual reasoning typically involves considering alternatives to actual events. While often applied to understand past events, a distinct form-forward counterfactual reasoni…