Google's AI, AlphaGeometry, has achieved a major milestone by solving complex geometry problems from the International Mathematical Olympiad, showing AI's potential to approach high-school student levels in tough math challenges. Researchers from UCLA, University of Washington, and Microsoft have introduced MathVista, evaluating math reasoning in visual contexts with large multimodal models. Additionally, Google DeepMind's Spatial VLM, a Vision-Language Model with 3D spatial reasoning capabilities, has been introduced to investigate the extent to which synthetic data can help VLMs learn spatial relationships, quantitative distance, and CoT spatial reasoning. This development is crucial for embodied agents and robotics. AlphaGeometry has been stress-tested and shown to perform well in solving challenging IMO problems, with a particular focus on spatial reasoning tasks. The recent work led by BoyuanChen0 has added 3D reasoning capabilities to VLMs, particularly beneficial for robotics and AR applications.
🤖 From this week's issue: DeepMind introduces AlphaGeometry, an AI system that solves complex geometry problems at a level approaching a human Olympiad gold-medalist - a breakthrough in AI performance. https://t.co/Q2udG2BuNB
For robotics and AR applications, there’s a lot of benefits of having spatially 3D grounded VLMs. This recent work led by @BoyuanChen0 adds 3D reasoning capabilities to VLMs. One cool result is that we are able to answer *quantitative* distance questions as a reward signal. https://t.co/NVYNT7oGzQ https://t.co/SkgmBAj3QY
VLMs are good at semantic queries, but how well do they understand lower-level spatial relationships? Spatial VLM is trained on 3d data synthesized from web-scale 2d images. It outperforms general VLMs on spatial reasoning tasks. Checkout the thread by @BoyuanChen0 : https://t.co/iHHTxYV6HR
VLMs are good at semantic queries, but how well do they understand lower-level spatial relationships? Spatial VLM is trained on 3d data synthesized from web-scale 2d images. It out performs general VLMs on spatial reasoning tasks. Checkout the thread by @BoyuanChen0: https://t.co/Aj5aZj5DFh https://t.co/iHHTxYV6HR
Stress testing AlphaGeometry by @BoWang87 and his team. AlphaGeometry does well in solving some challenging IMO problems, in one case finding a creative, more elegant solution to a hard problems “Hallucination or Creativity?” @TheosEvg https://t.co/VQp3j74pRP
**Stress-Testing AlphaGeometry: Unveiling its Leaps and Limits in Olympiad Math Geometry ** Solving Olympiad-level math questions marks a holy grail towards AGI. Recently, Google DeepMind's AlphaGeometry marks a significant milestone towards AGI. It recently tackled 25 out of 30… https://t.co/uezboRMk5G
This is a great development! Current VLMs are really bad about spatial reasoning (they just weren’t trained for it). Yet such capabilities are crucial for any embodied agent. Given the transition to using VLMs as policies/planners, figuring this aspect is a key component. https://t.co/5iWg6YMvxm
Researchers from UCLA, University of Washington, and Microsoft Introduce MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4v, BARD, and Other Large Multimodal Models Quick read: https://t.co/BOf30VrK3h Paper: https://t.co/QF4pL4qyf2 Project:… https://t.co/VMZwoTwbhz
Introducing Spatial VLM, a Vision-Language Model with 3D Spatial Reasoning Capabilities by @GoogleDeepmind. We investigate to what extent synthetic data can help VLMs learn - 3D relationship - quantitative distance - CoT spatial reasoning - RL reward https://t.co/e22zrBhKjB (1/6)
🤖🔢 Google DeepMind's AI, AlphaGeometry, marks a major milestone in AI by solving complex geometry problems from the International Mathematical Olympiad! This is a big step forward, showing AI can approach top high-school student levels in one of the toughest math challenges.… https://t.co/IJ0OxrnS66
Google presents SpatialVLM Endowing Vision-Language Models with Spatial Reasoning Capabilities paper page: https://t.co/PMQWwcNzne Understanding and reasoning about spatial relationships is a fundamental capability for Visual Question Answering (VQA) and robotics. While Vision… https://t.co/uJceeRfwCB