ai ethics

1
PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop arxiv.org
This paper introduces PhysVista, a new benchmark to evaluate the physical intelligence of Vision-Language Models (VLMs) using a closed perception-reasoning-assessment loop. Experiments reveal significant limitations in current VLMs' physical reasoning and plausibility assessment capabilities.
Hugging Face Daily Papersarxiv.orgXinge Peng, Yiting Lu, Tianwu Zhi6d1 minpaper
2
How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline arxiv.org
This paper investigates how American English (AmE) becomes the default in LLMs, despite global English diversity. It found AmE is consistently favored across pretraining/post-training data, tokenization, and generation, leading to structural bias.
Hugging Face Daily Papersarxiv.orgMir Tafseer Nayeem, Davood Rafiei8d2 minpaper

PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Looparxiv.org