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AI & ML interests

LLM Research / Development / Evaluation

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posted an update about 10 hours 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.
posted an update 4 days ago
"Do LLMs Really Need 10+ Thoughts for "Find the Time 1000 Days Later"? Towards Structural Understanding of LLM Overthinking" https://arxiv.org/abs/2510.07880 > Our analysis reveals two major patterns for open-weight thinking models -- Explorer and Late Landing. This finding provides evidence that over-verification and over-exploration are the primary drivers of overthinking in LLMs. Grounded in thought structures, we propose a utility-based definition of overthinking, which moves beyond length-based metrics. This revised definition offers a more insightful understanding of LLMs' thought progression, as well as practical guidelines for principled overthinking management. Really cool paper! Unfortunately no code, may need to attempt to recreate my own TRACE 🤔
liked a model 6 days ago
noctrex/cogito-v2-preview-llama-109B-MoE-MXFP4_MOE-GGUF
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