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Abhinav Rao

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#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
Preprint Jul 2026

An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon?

This work systematically study repeated alignment and misalignment cycles using controlled fine-tuning loops while tracking behavioral performance, and LoRA representations throughout training, finding that both misalignment and realignment are highly sensitive to superficial dataset characteristics.

Abhinav Rao, Liancheng Gong, Bin Hu et al. · 0 citations

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