Qwen2.5
Collection
Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B.
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46 items
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Updated
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684
Shanshan Zhu
laguarage
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AI & ML interests
recommender system, OCR, text2img
Recent Activity
liked
a model
10 days ago
answerdotai/ModernBERT-base
liked
a model
10 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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over 1 year ago