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New MindTopo benchmark reveals foundation models struggle with topological reasoning

By PulseAugur Editorial · [2 sources] ·

A new benchmark called MindTopo has been developed to evaluate the topological reasoning capabilities of foundation models, a crucial aspect of spatial understanding that has been largely overlooked in current evaluations. The benchmark, comprising over 11,000 instances across various task types, assesses models on properties like continuity, separation, and enclosure at different cognitive levels. Initial testing revealed that while models can recognize topological relations, they struggle significantly with planning or acting within these topological spaces, indicating a gap between recognition and manipulation abilities. AI

IMPACT Highlights a gap in current foundation models' ability to perform complex spatial reasoning and manipulation, suggesting future research directions.

RANK_REASON The cluster describes a new benchmark and research paper evaluating AI models on a specific reasoning capability.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New MindTopo benchmark reveals foundation models struggle with topological reasoning

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Yunfei Ge, Anbang Liu, Qineng Wang, Johnalbert Garnica, Jianwen Lyu, Zihan Wang, Reuben Tan, Jianfeng Gao, Ruohan Zhang, Yining Hong, Jiajun Wu, Manling Li ·

    MindTopo: Can Foundation Models Reason in Topological Space?

    arXiv:2609.11900v1 Announce Type: cross Abstract: Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under continuous deformation. Cognitive science identifies these relations as foun…

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    There's a running debate about whether these models really understand anything. Here's a clean data point: on topological reasoning tasks, foundation models rec

    There's a running debate about whether these models really understand anything. Here's a clean data point: on topological reasoning tasks, foundation models recognize that a rope is knotted at 66% but fail badly when asked to actually untangle it. Naming a state and manipulating …

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