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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Cambrian | VISIONx @ NYU</title>
<link rel="icon" type="image/x-icon" href="imgs/favicon.ico">
<script src="https://cdn.tailwindcss.com"></script>
<!-- Open Graph -->
<meta property="og:url" content="https://cambrian-mllm.github.io/" />
<meta property="og:image" content="https://cambrian-mllm.github.io/imgs/cambrian-home.png" />
<meta property="og:title" content="Cambrian" />
<meta property="og:description" content="Building Supersensing for Superintelligence" />
<!-- Twitter -->
<meta name="twitter:url" content="https://cambrian-mllm.github.io/" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:image" content="https://cambrian-mllm.github.io/imgs/cambrian-home.png" />
<meta name="twitter:title" content="Cambrian" />
<meta name="twitter:description" content="Building Supersensing for Superintelligence" />
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;700;900&display=swap" rel="stylesheet">
<!-- Font Awesome -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
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(function() {
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document.documentElement.setAttribute('data-theme', theme);
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</script>
<style>
:root {
/* Light mode colors */
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[data-theme="dark"] {
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body {
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color: var(--text-primary);
font-family: "Inter", sans-serif;
margin: 0;
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display: flex;
justify-content: center;
transition: background-color 0.3s ease, color 0.3s ease;
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html {
scroll-behavior: smooth;
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.container {
max-width: 1200px;
width: 100%;
padding: 2rem;
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header {
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justify-content: space-between;
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header .logo {
font-weight: bold;
font-size: 1.2rem;
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.theme-toggle {
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border: none;
font-size: 1.5rem;
cursor: pointer;
color: var(--text-primary);
padding: 0.5rem;
display: flex;
align-items: center;
justify-content: center;
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main {
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.content-area {
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.content-area h1 {
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@media (max-width: 768px) {
.mission-statement h1 {
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header .logo {
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.featured-banners {
margin-bottom: 3rem;
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.featured-card {
border-radius: 12px;
display: block;
height: clamp(18rem, 25vw, 24rem);
position: relative;
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.featured-card img,
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.featured-card:hover img,
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grid-column: span 4 / span 4;
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@media (min-width: 768px) {
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.article-description {
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@media (min-width: 768px) {
.article-description {
grid-column: span 4 / span 4;
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font-family: "Inter", system-ui, sans-serif;
font-size: 0.875rem;
color: var(--text-primary);
text-transform: capitalize;
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.date-label {
font-family: "Inter", system-ui, sans-serif;
font-size: 0.875rem;
color: var(--text-secondary);
display: block;
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.article-title {
font-size: 1rem;
font-family: "Inter", system-ui, sans-serif;
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.article-desc {
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.publication-card {
border-bottom: 1px solid var(--card-border);
transition: border-color 0.3s ease;
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.publication-card:hover {
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.contact-button {
background-color: var(--paper);
color: var(--text-primary);
border: 1px solid var(--text-primary);
}
.contact-button:hover {
background-color: var(--text-primary);
color: var(--paper);
}
</style>
</head>
<body>
<div class="container">
<header>
<a href="#" class="logo">Cambrian</a>
<div class="header-right">
<a href="#" class="logo">VISIONx @ NYU</a>
<div class="header-divider"></div>
<button class="theme-toggle" id="theme-toggle" aria-label="Toggle dark mode">
<i class="fas fa-sun"></i>
<i class="fas fa-moon"></i>
</button>
</div>
</header>
<div class="mission-statement">
<h2 class="font-styrene text-4xl font-bold mb-4">Building Supersensing for Superintelligence</h2>
<p class="text-base mt-4 line-height-relaxed" style="color: var(--text-secondary);">The world doesn't just exist around us. It flows through us, shaping what we feel and who we become. Supersensing is our mission to let machines share in that flow: to build richer world models that not only see, but anticipate, select, and organize experience, advancing multimodal intelligence that truly understands the world and creates within it.</p>
</div>
<section class="featured-banners">
<div class="grid grid-cols-1 md:grid-cols-12 gap-4">
<a href="https://cambrian-mllm.github.io/cambrian-p" target="_blank" class="featured-card md:col-span-4 bg-kraft">
<img src="imgs/cambrian-p.png" alt="Cambrian-P" onerror="this.src='https://placehold.co/400x400/d4a27f/ffffff?text=Cambrian-P'; this.onerror=null;">
<div class="text-container">
<h3 class="featured-title">Cambrian-P</h3>
</div>
</a>
<a href="cambrian-s" target="_blank" class="featured-card md:col-span-4 bg-book-cloth">
<img src="imgs/cambrian-s-v2.webp" alt="Cambrian-S" style="object-position: 44% center;" onerror="this.src='https://placehold.co/800x400/cc785c/ffffff?text=Cambrian-S'; this.onerror=null;">
<div class="text-container">
<h3 class="featured-title">Cambrian-S</h3>
</div>
</a>
<a href="cambrian-1" target="_blank" class="featured-card md:col-span-4 bg-cloud-light">
<img src="imgs/cambrian.png" alt="Cambrian-1" onerror="this.src='https://placehold.co/400x400/d1cfc5/ffffff?text=Cambrian-1'; this.onerror=null;">
<div class="text-container">
<h3 class="featured-title">Cambrian-1</h3>
</div>
</a>
<a href="https://vision-x-nyu.github.io/vstat-site/" target="_blank" class="featured-card md:col-span-4 bg-cactus">
<img src="imgs/vstat-wall.gif" alt="VSTAT" onerror="this.src='https://placehold.co/400x400/bcd1ca/ffffff?text=VSTAT'; this.onerror=null;">
<div class="text-container">
<h3 class="featured-title">VSTAT</h3>
</div>
</a>
<a href="https://vision-x-nyu.github.io/test-set-training" class="featured-card md:col-span-4 bg-manilla">
<img src="imgs/tst.png" alt="Test-set Training" onerror="this.src='https://placehold.co/600x400/ebdbbc/ffffff?text=Test-Set+Stress-Test'; this.onerror=null;">
<div class="text-container">
<h3 class="featured-title">Test-Set Stress-Test</h3>
</div>
</a>
<a href="https://vision-x-nyu.github.io/thinking-in-space.github.io/" class="featured-card md:col-span-4 bg-sky">
<img src="imgs/thinking-in-space.png" alt="Thinking in Space" onerror="this.src='https://placehold.co/600x400/6a9bcc/ffffff?text=Thinking+in+Space'; this.onerror=null;">
<div class="text-container">
<h3 class="featured-title">Thinking in Space</h3>
</div>
</a>
</div>
</section>
<main>
<div class="content-area">
<div class="text-center mb-8">
<h2 class="font-styrene text-4xl font-bold">Discover Our Research</h2>
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<article data-category="publication" data-title="vstat visual state tracking benchmark publication">
<a href="https://arxiv.org/abs/2606.03920" target="_blank" class="publication-card block">
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<h3 class="article-title">VSTAT</h3>
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<div class="article-date">
<span class="date-label">Jun 3, 2026</span>
</div>
<div class="article-description">
<p class="article-desc">Visual State Tracking Benchmark for Multimodal Video Understanding</p>
</div>
</div>
</a>
</article>
<article data-category="benchmark" data-title="vstat benchmark release">
<a href="https://huggingface.co/datasets/nyu-visionx/vstat" target="_blank" class="publication-card block">
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<span class="category-label">Benchmark</span>
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<div class="article-title-cell">
<h3 class="article-title">nyu-visionx/<strong>VSTAT</strong></h3>
</div>
<div class="article-date">
<span class="date-label">Jun 3, 2026</span>
</div>
<div class="article-description">
<p class="article-desc">Visual State Tracking Benchmark for Multimodal Video Understanding</p>
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</div>
</a>
</article>
<article data-category="code" data-title="code for vstat release">
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<span class="category-label">Code</span>
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<div class="article-title-cell">
<h3 class="article-title">vision-x-nyu/<strong>vstat</strong></h3>
</div>
<div class="article-date">
<span class="date-label">Jun 3, 2026</span>
</div>
<div class="article-description">
<p class="article-desc">Evaluation Toolkit for the VSTAT Benchmark</p>
</div>
</div>
</a>
</article>
<article data-category="publication" data-title="cambrian-p pose-grounded video understanding publication">
<a href="https://arxiv.org/abs/2605.22819" target="_blank" class="publication-card block">
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<h3 class="article-title">Cambrian-P</h3>
</div>
<div class="article-date">
<span class="date-label">May 22, 2026</span>
</div>
<div class="article-description">
<p class="article-desc">Pose-Grounded Video Understanding</p>
</div>
</div>
</a>
</article>
<article data-category="model" data-title="cambrian-p model family release">
<a href="https://huggingface.co/collections/nyu-visionx/cambrian-p-models" target="_blank" class="publication-card block">
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<div class="article-title-cell">
<h3 class="article-title">Cambrian-P Model Family</h3>
</div>
<div class="article-date">
<span class="date-label">May 21, 2026</span>
</div>
<div class="article-description">
<p class="article-desc">Our Pose-Grounded Multimodal Large Language Models</p>
</div>
</div>
</a>
</article>
<article data-category="dataset" data-title="cambrian-p-data dataset release">
<a href="https://huggingface.co/datasets/nyu-visionx/Cambrian-P-Data" target="_blank" class="publication-card block">
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<div class="article-title-cell">
<h3 class="article-title">nyu-visionx/<strong>Cambrian-P-Data</strong></h3>
</div>
<div class="article-date">
<span class="date-label">May 21, 2026</span>
</div>
<div class="article-description">
<p class="article-desc">Annotated Pose Dataset for Pose-Grounded Video Understanding</p>
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</div>
</a>
</article>
<article data-category="code" data-title="code for cambrian-p release">
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<span class="category-label">Code</span>
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<div class="article-title-cell">
<h3 class="article-title">cambrian-mllm/<strong>cambrian-p</strong></h3>
</div>
<div class="article-date">
<span class="date-label">May 21, 2026</span>
</div>
<div class="article-description">
<p class="article-desc">Train and Evaluation Toolkits for Cambrian-P Models</p>
</div>
</div>
</a>
</article>
<article data-category="publication" data-title="cambrian-s towards spatial supersensing in video publication">
<a href="https://arxiv.org/abs/2511.04670" target="_blank" class="publication-card block">
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<h3 class="article-title">Cambrian-S</h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">Towards Spatial Supersensing in Video</p>
</div>
</div>
</a>
</article>
<article data-category="publication" data-title="test-set stress-test benchmark designers should train on the test set to expose exploitable non-visual shortcuts publication">
<a href="https://arxiv.org/abs/2511.04655" target="_blank" class="publication-card block">
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<div class="article-title-cell">
<h3 class="article-title">Test-set Stress-Test</h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts</p>
</div>
</div>
</a>
</article>
<article data-category="publication" data-title="simsv simulated instruction-tuning for spatial video understanding">
<a href="https://arxiv.org/abs/2511.04668" target="_blank" class="publication-card block">
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<h3 class="article-title">SIMS-V</h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">Simulated Instruction-Tuning for Spatial Video Understanding</p>
</div>
</div>
</a>
</article>
<article data-category="dataset" data-title="sims-vsi dataset release">
<a href="https://hf.co/datasets/ellisbrown/SIMS-VSI" target="_blank" class="publication-card block">
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<span class="category-label">Dataset</span>
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<div class="article-title-cell">
<h3 class="article-title">ellisbrown/<strong>SIMS-VSI</strong></h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">Simulated Instruction Tuning Dataset for Spatial Video Understanding, with Full 3D and Frame-Level GT Annotations</p>
</div>
</div>
</a>
</article>
<article data-category="dataset" data-title="tst dataset release">
<a href="https://hf.co/datasets/nyu-visionx/VSI-Train-10k" target="_blank" class="publication-card block">
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<span class="category-label">Dataset</span>
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</div>
<div class="article-title-cell">
<h3 class="article-title">nyu-visionx/<strong>VSI-Train-10k</strong></h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">10k In-Distribution VSI-Bench Training Examples</p>
</div>
</div>
</a>
</article>
<article data-category="dataset" data-title="vsi-590k dataset release">
<a href="https://huggingface.co/datasets/nyu-visionx/VSI-590K" target="_blank" class="publication-card block">
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<span class="category-label">Dataset</span>
</div>
</div>
<div class="article-title-cell">
<h3 class="article-title">nyu-visionx/<strong>VSI-590K</strong></h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">Large-Scale Instruction Tuning Dataset for Spatial Sensing</p>
</div>
</div>
</a>
</article>
<article data-category="benchmark" data-title="vsi-super benchmark release">
<a href="https://huggingface.co/collections/nyu-visionx/vsi-super" target="_blank" class="publication-card block">
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</div>
<span class="category-label">Benchmark</span>
</div>
</div>
<div class="article-title-cell">
<h3 class="article-title">nyu-visionx/<strong>VSI-SUPER</strong></h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">Two-part Benchmark for Spatial Supersensing, including VSI-SUPER Recall (VSR) and VSI-SUPER Count (VSC)</p>
</div>
</div>
</a>
</article>
<article data-category="model" data-title="cambrian-s model family release">
<a href="https://huggingface.co/collections/nyu-visionx/cambrian-s-models" target="_blank" class="publication-card block">
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</div>
<span class="category-label">Model</span>
</div>
</div>
<div class="article-title-cell">
<h3 class="article-title">Cambrian-S Model Family</h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
</div>
<div class="article-description">
<p class="article-desc">Our Spatially-grounded Multimodal Large Language Models</p>
</div>
</div>
</a>
</article>
<article data-category="code" data-title="code for cambrian-s release">
<a href="https://github.com/cambrian-mllm/cambrian-s" target="_blank" class="publication-card block">
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<path fill="currentColor" d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"></path>
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<span class="category-label">Code</span>
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<div class="article-title-cell">
<h3 class="article-title">cambrian-mllm/<strong>cambrian-s</strong></h3>
</div>
<div class="article-date">
<span class="date-label">Nov 7, 2025</span>
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<p class="article-desc">Train and Evaluation Toolkits for Cambrian-S Models</p>
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</a>
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<article data-category="publication" data-title="thinking in space how multimodal large language models see, remember and recall spaces publication">
<a href="https://arxiv.org/abs/2412.14171" target="_blank" class="publication-card block">
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<img src="imgs/arxiv-logo.svg" alt="arXiv logo" class="icon-small">
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<span class="category-label">Publication</span>
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<div class="article-title-cell">
<h3 class="article-title">Thinking in Space</h3>
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<div class="article-date">
<span class="date-label">Dec 18, 2024</span>
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<div class="article-description">
<p class="article-desc">How Multimodal Large Language Models See, Remember and Recall Spaces</p>
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</a>
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<article data-category="publication" data-title="cambrian-1 a fully open, vision-centric exploration of multimodal llms publication">
<a href="https://arxiv.org/abs/2406.16860" target="_blank" class="publication-card block">
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<span class="category-label">Publication</span>
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<div class="article-title-cell">
<h3 class="article-title">Cambrian-1</h3>
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<div class="article-date">
<span class="date-label">Jun 24, 2024</span>
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<div class="article-description">
<p class="article-desc">A Fully Open, Vision-Centric Exploration of Multimodal LLMs</p>
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</a>
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<article data-category="dataset" data-title="cambrian-10m dataset release">
<a href="https://huggingface.co/datasets/nyu-visionx/Cambrian-10M" target="_blank" class="publication-card block">
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<span class="category-label">Dataset</span>
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<div class="article-title-cell">
<h3 class="article-title">nyu-visionx/<strong>Cambrian-10M</strong></h3>
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