{"total":114,"rows":[{"id":"2404.14219","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","created":"2024-04-22","cited_by_count":1917,"area":null},{"id":"2504.10479","title":"InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models","created":"2025-04-14","cited_by_count":1834,"area":null},{"id":"2503.19786","title":"Gemma 3 Technical Report","created":"2025-03-25","cited_by_count":1824,"area":null},{"id":"2406.09414","title":"Depth Anything V2","created":"2024-06-13","cited_by_count":1422,"area":null},{"id":"2501.13106","title":"VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding","created":"2025-01-22","cited_by_count":518,"area":null},{"id":"2409.02813","title":"MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark","created":"2024-09-04","cited_by_count":512,"area":null},{"id":"2407.11691","title":"VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models","created":"2024-07-16","cited_by_count":455,"area":null},{"id":"2511.05491","title":"Visual Spatial Tuning","created":"2025-11-07","cited_by_count":89,"area":null},{"id":"2407.04069","title":"A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations","created":"2024-07-04","cited_by_count":85,"area":null},{"id":"2406.07546","title":"Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense?","created":"2024-06-11","cited_by_count":52,"area":null},{"id":"2603.20633","title":"Seed1.8 Model Card: Towards Generalized Real-World Agency","created":"2026-03-21","cited_by_count":50,"area":null},{"id":"2509.07295","title":"Reconstruction Alignment Improves Unified Multimodal Models","created":"2025-09-08","cited_by_count":49,"area":null},{"id":"2509.24897","title":"RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark","created":"2025-09-29","cited_by_count":33,"area":null},{"id":"2601.09668","title":"STEP3-VL-10B Technical Report","created":"2026-01-14","cited_by_count":32,"area":null},{"id":"2411.17673","title":"SketchAgent: Language-Driven Sequential Sketch Generation","created":"2024-11-26","cited_by_count":31,"area":null},{"id":"2505.05456","title":"SITE: towards Spatial Intelligence Thorough Evaluation","created":"2025-05-08","cited_by_count":29,"area":null},{"id":"2503.19903","title":"Scaling Vision Pre-Training to 4K Resolution","created":"2025-03-25","cited_by_count":28,"area":null},{"id":"2504.18838","title":"Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks","created":"2025-04-26","cited_by_count":28,"area":null},{"id":"2411.02394","title":"AutoVFX: Physically Realistic Video Editing from Natural Language Instructions","created":"2024-11-04","cited_by_count":27,"area":null},{"id":"2412.09606","title":"Feat2GS: Probing Visual Foundation Models with Gaussian Splatting","created":"2024-12-12","cited_by_count":27,"area":null},{"id":"2509.01106","title":"Robix: A Unified Model for Robot Interaction, Reasoning and Planning","created":"2025-09-01","cited_by_count":23,"area":null},{"id":"2509.26625","title":"Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training","created":"2025-09-30","cited_by_count":23,"area":null},{"id":"2405.14974","title":"LOVA3: Learning to Visual Question Answering, Asking and Assessment","created":"2024-05-23","cited_by_count":21,"area":null},{"id":"2506.04633","title":"Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations","created":"2025-06-05","cited_by_count":21,"area":null},{"id":"2512.10941","title":"Mull-Tokens: Modality-Agnostic Latent Thinking","created":"2025-12-11","cited_by_count":19,"area":null},{"id":"2409.14713","title":"Phantom of Latent for Large Language and Vision Models","created":"2024-09-23","cited_by_count":17,"area":null},{"id":"2511.03929","title":"NVIDIA Nemotron Nano V2 VL","created":"2025-11-06","cited_by_count":17,"area":null},{"id":"2504.10471","title":"MIEB: Massive Image Embedding Benchmark","created":"2025-04-14","cited_by_count":15,"area":null},{"id":"2601.10129","title":"LaViT: Aligning Latent Visual Thoughts for Multi-modal Reasoning","created":"2026-01-15","cited_by_count":15,"area":null},{"id":"2505.23522","title":"OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Data","created":"2025-05-29","cited_by_count":14,"area":null},{"id":"2507.01955","title":"How Well Does GPT-4o Understand Vision? Evaluating Multimodal Foundation Models on Standard Computer Vision Tasks","created":"2025-07-02","cited_by_count":14,"area":null},{"id":"2410.10799","title":"Towards Foundation Models for 3D Vision: How Close Are We?","created":"2024-10-14","cited_by_count":13,"area":null},{"id":"2502.16435","title":"Human Cognitive Benchmarks Reveal Foundational Visual Gaps in MLLMs","created":"2025-02-23","cited_by_count":13,"area":null},{"id":"2512.20617","title":"SpatialTree: How Spatial Abilities Branch Out in MLLMs","created":"2025-12-23","cited_by_count":12,"area":null},{"id":"2605.04128","title":"JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation","created":"2026-05-05","cited_by_count":12,"area":null},{"id":"2502.08279","title":"What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations","created":"2025-02-12","cited_by_count":11,"area":null},{"id":"2503.15485","title":"TULIP: Towards Unified Language-Image Pretraining","created":"2025-03-19","cited_by_count":11,"area":null},{"id":"2503.24267","title":"FakeScope: Large Multimodal Expert Model for Transparent AI-Generated Image Forensics","created":"2025-03-31","cited_by_count":11,"area":null},{"id":"2512.19949","title":"How Much 3D Do Video Foundation Models Encode?","created":"2025-12-23","cited_by_count":11,"area":null},{"id":"2602.00288","title":"TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs","created":"2026-01-30","cited_by_count":11,"area":null},{"id":"2407.19474","title":"Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models","created":"2024-07-28","cited_by_count":10,"area":null},{"id":"2411.00394","title":"Right this way: Can VLMs Guide Us to See More to Answer Questions?","created":"2024-11-01","cited_by_count":10,"area":null},{"id":"2508.11952","title":"UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding","created":"2025-08-16","cited_by_count":10,"area":null},{"id":"2510.16641","title":"MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models","created":"2025-10-18","cited_by_count":10,"area":null},{"id":"2602.00471","title":"Dual Latent Memory for Visual Multi-agent System","created":"2026-01-31","cited_by_count":10,"area":null},{"id":"2511.20648","title":"LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight","created":"2025-11-25","cited_by_count":8,"area":null},{"id":"2604.21921","title":"Context Unrolling in Omni Models","created":"2026-04-23","cited_by_count":8,"area":null},{"id":"2512.17875","title":"Visually Prompted Benchmarks Are Surprisingly Fragile","created":"2025-12-19","cited_by_count":7,"area":null},{"id":"2409.13929","title":"Failures in Perspective-taking of Multimodal AI Systems","created":"2024-09-20","cited_by_count":6,"area":null},{"id":"2506.07643","title":"Synthetic Visual Genome","created":"2025-06-09","cited_by_count":6,"area":null},{"id":"2604.07296","title":"OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence","created":"2026-04-08","cited_by_count":6,"area":null},{"id":"2506.09082","title":"AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2509.21189","title":"Human-like Navigation in a World Built for Humans","created":"2025-09-25","cited_by_count":4,"area":null},{"id":"2509.25339","title":"VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2605.31604","title":"Representation Forcing for Bottleneck-Free Unified Multimodal Models","created":"2026-05-29","cited_by_count":4,"area":null},{"id":"2509.23499","title":"Multi-modal Data Spectrum: Multi-modal Datasets are Multi-dimensional","created":"2025-09-27","cited_by_count":3,"area":null},{"id":"2603.00461","title":"ReMoT: Reinforcement Learning with Motion Contrast Triplets","created":"2026-02-28","cited_by_count":3,"area":null},{"id":"2409.09628","title":"Can Large Language Models Grasp Event Signals? Exploring Pure Zero-Shot Event-based Recognition","created":"2024-09-15","cited_by_count":2,"area":null},{"id":"2503.08604","title":"EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments","created":"2025-03-11","cited_by_count":2,"area":null},{"id":"2506.00991","title":"GOBench: Benchmarking Geometric Optics Generation and Understanding of MLLMs","created":"2025-06-01","cited_by_count":2,"area":null},{"id":"2508.18859","title":"Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization","created":"2025-08-26","cited_by_count":2,"area":null},{"id":"2605.16403","title":"When Vision Speaks for Sound","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2607.21072","title":"Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text","created":"2026-07-23","cited_by_count":2,"area":null},{"id":"2609.01607","title":"Uncovering Understanding-Generation Synergy in Native Unified Multimodal Models: From Representation, Task to System","created":"2026-09-01","cited_by_count":2,"area":null},{"id":"2609.24727","title":"ReSTI: A Source-Grounded Audit and Repair of STI-Bench","created":"2026-09-21","cited_by_count":2,"area":null},{"id":"2410.04751","title":"Intriguing Properties of Large Language and Vision Models","created":"2024-10-07","cited_by_count":1,"area":null},{"id":"2503.13383","title":"Cream of the Crop: Harvesting Rich, Scalable and Transferable Multi-Modal Data for Instruction Fine-Tuning","created":"2025-03-17","cited_by_count":1,"area":null},{"id":"2601.06287","title":"Perception Test 2025: Challenge Summary and a Unified VQA Extension","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2603.07474","title":"Cross-Modal Taxonomic Generalization in (Vision-) Language Models","created":"2026-03-08","cited_by_count":1,"area":null},{"id":"2603.26839","title":"From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning","created":"2026-03-27","cited_by_count":1,"area":null},{"id":"2604.06484","title":"ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMs","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2604.12357","title":"ReflectCAP: Detailed Image Captioning with Reflective Memory","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2606.24253","title":"TuringViT: Making SOTA Vision Transformers Accessible to All","created":"2026-06-23","cited_by_count":1,"area":null},{"id":"2606.25592","title":"VPA-Guard: Defending and Benchmarking Image-to-Video Generation Against Visual Prompt Attacks","created":"2026-06-24","cited_by_count":1,"area":null},{"id":"2606.30059","title":"From Failure Taxonomy to Intervention: A Diagnostic Methodology for Industry-Scale AVLM in Video and Live-Streaming Platform Moderation","created":"2026-06-29","cited_by_count":1,"area":null},{"id":"2609.19554","title":"VABench: Measuring Embodied Spatial Intelligence through Visual Demonstrations, Active Perception, and Metric Control","created":"2026-09-17","cited_by_count":1,"area":null},{"id":"2609.35718","title":"Hard Vision, Easy Vision: What GPT-6 Astra Reveals Across Computer Vision","created":"2026-09-28","cited_by_count":1,"area":null},{"id":"2508.21738","title":"From Drone Imagery to Livability Mapping: AI-powered Environment Perception in Rural China","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2602.11615","title":"SkillRater: Untangling Capabilities in Multimodal Data","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.05787","title":"Spectral Probing of Feature Upsamplers in 2D-to-3D Scene Reconstruction","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.20354","title":"Leum-VL Technical Report","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.11004","title":"Panoptic Pairwise Distortion Graph","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2604.21144","title":"Using Machine Mental Imagery for Representing Common Ground in Situated Dialogue","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2605.12074","title":"BARISTA: A Multi-Task Egocentric Benchmark for Compositional Visual Understanding","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.18714","title":"Semantic Generative Tuning for Unified Multimodal Models","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.23141","title":"VisAnalog: A Diagnostic Suite for Visual Concept Transfer on Natural Images","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2605.30639","title":"PInVerify: An Offline Embodied Benchmark for Active Instance Verification","created":"2026-05-28","cited_by_count":0,"area":null},{"id":"2605.31597","title":"SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Models","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.25445","title":"C3-Bench: A Context-Aware Change Captioning Benchmark","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.14616","title":"SportD: How do VLMs physically strategize?","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2607.16165","title":"An Exam for Active Observers","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2607.17140","title":"STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2608.04111","title":"GEB-Bench: Abstract Structures Told in Many Voices","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.05747","title":"GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.16514","title":"Matched Outcomes, Divergent Gaze: How Foveated MLLMs Search Compared to Humans","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.21357","title":"VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2608.25940","title":"A Statistical Audit of Physical AI Benchmark Redundancy","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2608.26317","title":"Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2608.28980","title":"The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Era","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.10356","title":"Spot-the-shift: Evaluating Grounded Image Difference Captioning of Long-term Changes","created":"2026-09-09","cited_by_count":0,"area":null}],"next_cursor":"100"}