Shanshan Zhu

laguarage

LaguaFluc

AI & ML interests

recommender system, OCR, text2img

Recent Activity

liked a model 6 days ago

answerdotai/ModernBERT-base

liked a model 6 days ago

jhu-clsp/ettin-encoder-400m

reacted to mike-ravkine's post with 👀 3 months ago

Spatial reasoning is a domain where LLMs struggle surprisingly hard. A new paper, "Stuck in the Matrix: Probing Spatial Reasoning in Large Language Models" compares performance on a handful of spacial reasoning tasks and finds all SOTA LLMs breaking down and hallucinating their faces off when the grids get large. https://arxiv.org/html/2510.20198v1 The word search task is especially revealing: notice the bias towards detecting "horizontal" while struggling with "vertical" - LLMs only understand simple, linear relationships.. add a stride for 2D and it's basically over.

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liked 2 models 6 days ago

answerdotai/ModernBERT-base

Fill-Mask • 0.1B • Updated Jan 15, 2025 • 734k • 986

jhu-clsp/ettin-encoder-400m

Fill-Mask • Updated Jul 16, 2025 • 1.22k • 9

reacted to mike-ravkine's post with 👀 3 months ago

Post

2528

Spatial reasoning is a domain where LLMs struggle surprisingly hard.

A new paper, "Stuck in the Matrix: Probing Spatial Reasoning in Large Language Models" compares performance on a handful of spacial reasoning tasks and finds all SOTA LLMs breaking down and hallucinating their faces off when the grids get large.

https://arxiv.org/html/2510.20198v1

The word search task is especially revealing: notice the bias towards detecting "horizontal" while struggling with "vertical" - LLMs only understand simple, linear relationships.. add a stride for 2D and it's basically over.