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Author

Fabrice Y. Harel-Canada

2 papers indexed here

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Does Reasoning Improve Psychological Depth in Large Language Models? It Depends on Who's Judging

The results suggest that development-set performance is insufficient evidence for deployment validity on a shifted distribution, and that point-estimate judges can obscure the heterogeneity in subjective human evaluation.

Rui-Chen Zheng, Yin-He Wang, Fabrice Y. Harel-Canada et al. · 0 citations
#artificial intelligence Preprint Sep 2026

NormViz: A Benchmark and Framework for Grounding Multimodal Reasoning in Global Cultures

Though absolute performance remains low, finetuning on NormViz-Train improves pair accuracy relatively by up to 125% and 36% Qwen3-VL 4B and 8B respectively, showing a path forward to teach models to connect visual perception to cultural significance.

Akhila Yerukola, Fabrice Y. Harel-Canada, Simran Khanuja et al. · 0 citations

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