Sabri Boughorbel — accepted AI-conference papers

2026

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

Keane Ong, Sabri Boughorbel, Luwei Xiao, Chanakya Ekbote, David Dai, Ao Qu +6

ICML 2026poster

To develop socially intelligent AI, existing approaches typically model behavioral dimensions (e.g., affective, cognitive, or social attributes) in isolation. Although useful, this task-specific modeling increases training costs and limits generalization across behavioral settings. Recent reasoning …

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2025

Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing

Sabri Boughorbel, Fahim Dalvi, Nadir Durrani, Majd Hawasly

EMNLP 2025

As fine-tuning becomes the dominant paradigm for improving large language models (LLMs), understanding what changes during this process is increasingly important. Traditional benchmarking often fails to explain _why_ one model outperforms another. In this work, we use model diffing, a mechanistic in

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