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Hongcheng-Gao/SpatialWorld

Code and data for paper "SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks".

#LLM evaluation
Visit GitHub
Python
55
3
8 contributors
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Momentum

How fast Hongcheng-Gao/SpatialWorld is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 3 – Oct 27, 2026

Stars +2 in 55 days

01
1

Forks +0 in 55 days

01

Merged PRs 0 in 55 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 3Sep 10Sep 17Sep 24Oct 1Oct 8Oct 15Oct 22
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
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  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 141 post

    • SpatialWorld A new benchmark pushing multimodal agents to navigate, manipulate, and reason in physical 3D spaces. 760 tasks across 8 simulators reveal even GPT-5 only succeeds 17% of the time.

      Read full on X, posted by @HuggingPapers

      @HuggingPapers · x.com

  2. Jun 92 posts

    • We introduce SpatialWorld, a unified benchmark designed specifically for evaluating the interactive spatial understanding of multimodal agents in complex real-world tasks.

      Read full on X, posted by @GaoHongcheng

      @GaoHongcheng · x.com

    • SpatialWorld reveals how poorly multimodal agents reason in 3D space 760 human-annotated tasks across 8 simulators, from kitchens to city streets. Even GPT-5 only solves 17.4% of them.

      Read full on X, posted by @HuggingPapers

      @HuggingPapers · x.com

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