{"total":169,"rows":[{"id":"2504.13181","title":"Perception Encoder: The best visual embeddings are not at the output of the network","created":"2025-04-17","cited_by_count":326,"area":null},{"id":"2502.19417","title":"Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models","created":"2025-02-26","cited_by_count":221,"area":null},{"id":"2411.19666","title":"Multimodal Whole Slide Foundation Model for Pathology","created":"2024-11-29","cited_by_count":162,"area":null},{"id":"2410.03051","title":"AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark","created":"2024-10-04","cited_by_count":140,"area":null},{"id":"2411.00776","title":"Randomized Autoregressive Visual Generation","created":"2024-11-01","cited_by_count":127,"area":null},{"id":"2409.10695","title":"Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models","created":"2024-09-16","cited_by_count":116,"area":null},{"id":"2603.04356","title":"RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots","created":"2026-03-04","cited_by_count":79,"area":null},{"id":"2504.01017","title":"Scaling Language-Free Visual Representation Learning","created":"2025-04-01","cited_by_count":66,"area":null},{"id":"2506.18123","title":"RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies","created":"2025-06-22","cited_by_count":64,"area":null},{"id":"2503.13436","title":"Unified Autoregressive Visual Generation and Understanding with Continuous Tokens","created":"2025-03-17","cited_by_count":51,"area":null},{"id":"2504.07951","title":"Scaling Laws for Native Multimodal Models","created":"2025-04-10","cited_by_count":50,"area":null},{"id":"2503.24278","title":"AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World","created":"2025-03-31","cited_by_count":48,"area":null},{"id":"2412.09604","title":"SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding","created":"2024-12-12","cited_by_count":42,"area":null},{"id":"2509.18095","title":"MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction","created":"2025-09-22","cited_by_count":39,"area":null},{"id":"2410.16512","title":"TIPS: Text-Image Pretraining with Spatial awareness","created":"2024-10-21","cited_by_count":37,"area":null},{"id":"2409.15250","title":"ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models","created":"2024-09-23","cited_by_count":27,"area":null},{"id":"2509.08753","title":"Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling","created":"2025-09-10","cited_by_count":27,"area":null},{"id":"2505.13077","title":"Advancing Sequential Numerical Prediction in Autoregressive Models","created":"2025-05-19","cited_by_count":26,"area":null},{"id":"2511.07732","title":"ViPRA: Video Prediction for Robot Actions","created":"2025-11-11","cited_by_count":26,"area":null},{"id":"2502.06857","title":"Gemstones: A Model Suite for Multi-Faceted Scaling Laws","created":"2025-02-07","cited_by_count":20,"area":null},{"id":"2509.23883","title":"DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning","created":"2025-09-28","cited_by_count":20,"area":null},{"id":"2502.02562","title":"Learning the RoPEs: Better 2D and 3D Position Encodings with STRING","created":"2025-02-04","cited_by_count":19,"area":null},{"id":"2410.04616","title":"Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?","created":"2024-10-06","cited_by_count":17,"area":null},{"id":"2411.14452","title":"Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task","created":"2024-11-11","cited_by_count":15,"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":"2506.08982","title":"On Finetuning Tabular Foundation Models","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2512.19687","title":"Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning","created":"2025-12-22","cited_by_count":13,"area":null},{"id":"2502.08417","title":"Handwritten Text Recognition: A Survey","created":"2025-02-12","cited_by_count":12,"area":null},{"id":"2510.05038","title":"Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization","created":"2025-10-06","cited_by_count":12,"area":null},{"id":"2601.10592","title":"Action100M: A Large-scale Video Action Dataset","created":"2026-01-15","cited_by_count":12,"area":null},{"id":"2408.15461","title":"Hand1000: Generating Realistic Hands from Text with Only 1,000 Images","created":"2024-08-28","cited_by_count":11,"area":null},{"id":"2410.15453","title":"CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts","created":"2024-10-20","cited_by_count":11,"area":null},{"id":"2504.08125","title":"Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objects","created":"2025-04-10","cited_by_count":11,"area":null},{"id":"2504.13987","title":"Entropy Rectifying Guidance for Diffusion and Flow Models","created":"2025-04-18","cited_by_count":11,"area":null},{"id":"2507.02358","title":"Hita: Holistic Tokenizer for Autoregressive Image Generation","created":"2025-07-03","cited_by_count":11,"area":null},{"id":"2502.15392","title":"Chitrarth: Bridging Vision and Language for a Billion People","created":"2025-02-21","cited_by_count":10,"area":null},{"id":"2502.19335","title":"Gatekeeper: Improving Model Cascades Through Confidence Tuning","created":"2025-02-26","cited_by_count":10,"area":null},{"id":"2602.23901","title":"ABPolicy: Asynchronous B-Spline Flow Policy for Real-Time and Smooth Robotic Manipulation","created":"2026-02-27","cited_by_count":10,"area":null},{"id":"2411.01713","title":"Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models","created":"2024-11-03","cited_by_count":9,"area":null},{"id":"2504.15707","title":"RePOPE: Impact of Annotation Errors on the POPE Benchmark","created":"2025-04-22","cited_by_count":9,"area":null},{"id":"2507.02591","title":"AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding","created":"2025-07-03","cited_by_count":9,"area":null},{"id":"2510.09507","title":"PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs","created":"2025-10-10","cited_by_count":9,"area":null},{"id":"2505.16196","title":"SEM: Enhancing Spatial Understanding for Robust Robot Manipulation","created":"2025-05-22","cited_by_count":8,"area":null},{"id":"2604.28192","title":"LaST-R1: Reinforcing Robotic Manipulation via Adaptive Physical Latent Reasoning","created":"2026-04-30","cited_by_count":8,"area":null},{"id":"2412.10342","title":"Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining","created":"2024-12-13","cited_by_count":7,"area":null},{"id":"2602.13444","title":"FlowHOI: Flow-based Semantics-Grounded Generation of Hand-Object Interactions for Dexterous Robot Manipulation","created":"2026-02-13","cited_by_count":7,"area":null},{"id":"2408.11735","title":"Clinical Insights: A Comprehensive Review of Language Models in Medicine","created":"2024-08-21","cited_by_count":6,"area":null},{"id":"2502.14780","title":"ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting","created":"2025-02-20","cited_by_count":6,"area":null},{"id":"2502.16025","title":"FeatSharp: Your Vision Model Features, Sharper","created":"2025-02-22","cited_by_count":6,"area":null},{"id":"2505.18570","title":"VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis","created":"2025-05-24","cited_by_count":6,"area":null},{"id":"2509.19453","title":"The Platonic Universe: Do Foundation Models See the Same Sky?","created":"2025-09-23","cited_by_count":6,"area":null},{"id":"2606.06194","title":"ActiveMimic: Egocentric Video Pretraining with Active Perception","created":"2026-06-04","cited_by_count":6,"area":null},{"id":"2606.14502","title":"From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI","created":"2026-06-12","cited_by_count":6,"area":null},{"id":"2412.10604","title":"EvalGIM: A Library for Evaluating Generative Image Models","created":"2024-12-13","cited_by_count":5,"area":null},{"id":"2505.21755","title":"FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2509.03421","title":"Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics","created":"2025-09-03","cited_by_count":5,"area":null},{"id":"2604.27621","title":"Robot Learning from Human Videos: A Survey","created":"2026-04-30","cited_by_count":5,"area":null},{"id":"2605.15735","title":"UAM: A Dual-Stream Perspective on Forgetting in VLA Training","created":"2026-05-15","cited_by_count":5,"area":null},{"id":"2605.25547","title":"TapSampling: Inference-Time Sampling with a Task-Progress-Understanding Verifier for Robotic Manipulation","created":"2026-05-25","cited_by_count":5,"area":null},{"id":"2409.16111","title":"CloudTrack: Scalable UAV Tracking with Cloud Semantics","created":"2024-09-24","cited_by_count":4,"area":null},{"id":"2411.14647","title":"Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains","created":"2024-11-22","cited_by_count":4,"area":null},{"id":"2501.16458","title":"BiFold: Bimanual Cloth Folding with Language Guidance","created":"2025-01-27","cited_by_count":4,"area":null},{"id":"2506.08002","title":"Aligning Text, Images, and 3D Structure Token-by-Token","created":"2025-06-09","cited_by_count":4,"area":null},{"id":"2603.12265","title":"OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams","created":"2026-03-12","cited_by_count":4,"area":null},{"id":"2607.25895","title":"HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone","created":"2026-07-28","cited_by_count":4,"area":null},{"id":"2608.19613","title":"What Matters for Latent Actions in Robot Learning","created":"2026-08-20","cited_by_count":4,"area":null},{"id":"2408.04632","title":"Arctic-TILT. Business Document Understanding at Sub-Billion Scale","created":"2024-08-08","cited_by_count":3,"area":null},{"id":"2409.16159","title":"ComiCap: A VLMs pipeline for dense captioning of Comic Panels","created":"2024-09-24","cited_by_count":3,"area":null},{"id":"2502.14901","title":"Reading the unreadable: Creating a dataset of 19th century English newspapers using image-to-text language models","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2504.17502","title":"RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation","created":"2025-04-24","cited_by_count":3,"area":null},{"id":"2506.03096","title":"FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens","created":"2025-06-03","cited_by_count":3,"area":null},{"id":"2506.03994","title":"Seeing What Tastes Good: Revisiting Multimodal Distributional Semantics in the Billion Parameter Era","created":"2025-06-04","cited_by_count":3,"area":null},{"id":"2506.06084","title":"WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management","created":"2025-06-06","cited_by_count":3,"area":null},{"id":"2510.01247","title":"Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports","created":"2025-09-24","cited_by_count":3,"area":null},{"id":"2510.20860","title":"Data-Centric Lessons To Improve Speech-Language Pretraining","created":"2025-10-22","cited_by_count":3,"area":null},{"id":"2511.00504","title":"VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning","created":"2025-11-01","cited_by_count":3,"area":null},{"id":"2511.13415","title":"Attention Grounded Enhancement for Visual Document Retrieval","created":"2025-11-17","cited_by_count":3,"area":null},{"id":"2511.20620","title":"Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI","created":"2025-11-25","cited_by_count":3,"area":null},{"id":"2606.27153","title":"DMuon: Efficient Distributed Muon Training with Near-Adam Overhead","created":"2026-06-25","cited_by_count":3,"area":null},{"id":"2409.01109","title":"SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic Segmentation","created":"2024-09-02","cited_by_count":2,"area":null},{"id":"2412.09405","title":"Learned Compression for Compressed Learning","created":"2024-12-12","cited_by_count":2,"area":null},{"id":"2412.10369","title":"A Grounded Typology of Word Classes","created":"2024-12-13","cited_by_count":2,"area":null},{"id":"2502.04405","title":"FAS: Fast ANN-SNN Conversion for Spiking Large Language Models","created":"2025-02-06","cited_by_count":2,"area":null},{"id":"2502.15422","title":"Evaluating Multimodal Generative AI with Korean Educational Standards","created":"2025-02-21","cited_by_count":2,"area":null},{"id":"2504.03621","title":"PILOT: A Promptable Interleaved Layout-aware OCR Transformer","created":"2025-04-04","cited_by_count":2,"area":null},{"id":"2506.04715","title":"Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model","created":"2025-06-05","cited_by_count":2,"area":null},{"id":"2507.10419","title":"Multiple Choice Learning of Low-Rank Adapters for Language Modeling","created":"2025-07-14","cited_by_count":2,"area":null},{"id":"2508.07596","title":"From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2510.12327","title":"Simple Projection Variants Improve ColBERT Performance","created":"2025-10-14","cited_by_count":2,"area":null},{"id":"2511.17411","title":"SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding","created":"2025-11-21","cited_by_count":2,"area":null},{"id":"2512.17178","title":"ABE-CLIP: Training-Free Attribute Binding Enhancement for Compositional Image-Text Matching","created":"2025-12-19","cited_by_count":2,"area":null},{"id":"2601.11269","title":"X-Distill: Cross-Architecture Vision Distillation for Visuomotor Learning","created":"2026-01-16","cited_by_count":2,"area":null},{"id":"2601.18238","title":"TechING: Towards Real World Technical Image Understanding via VLMs","created":"2026-01-26","cited_by_count":2,"area":null},{"id":"2606.01414","title":"Agent Skills Should Go Beyond Text: The Case for Visual Skills","created":"2026-05-31","cited_by_count":2,"area":null},{"id":"2606.10918","title":"Task Robustness via Re-Labelling Vision-Action Robot Data","created":"2026-06-09","cited_by_count":2,"area":null},{"id":"2609.01596","title":"Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation","created":"2026-09-01","cited_by_count":2,"area":null},{"id":"2408.09701","title":"Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer","created":"2024-08-19","cited_by_count":1,"area":null},{"id":"2501.07554","title":"SST-EM: Advanced Metrics for Evaluating Semantic, Spatial and Temporal Aspects in Video Editing","created":"2025-01-13","cited_by_count":1,"area":null},{"id":"2503.03842","title":"Task-Agnostic Attacks Against Vision Foundation Models","created":"2025-03-05","cited_by_count":1,"area":null},{"id":"2503.07603","title":"Should VLMs be Pre-trained with Image Data?","created":"2025-03-10","cited_by_count":1,"area":null}],"next_cursor":"100"}