{"total":41,"rows":[{"id":"2305.06355","title":"VideoChat: Chat-Centric Video Understanding","created":"2023-05-10","cited_by_count":857,"area":null},{"id":"2305.11175","title":"VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks","created":"2023-05-18","cited_by_count":501,"area":null},{"id":"2307.06942","title":"InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation","created":"2023-07-13","cited_by_count":497,"area":null},{"id":"2307.03601","title":"GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest","created":"2023-07-07","cited_by_count":302,"area":null},{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2307.04087","title":"SVIT: Scaling up Visual Instruction Tuning","created":"2023-07-09","cited_by_count":162,"area":null},{"id":"2311.15707","title":"SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation","created":"2023-11-27","cited_by_count":117,"area":null},{"id":"2305.11176","title":"Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model","created":"2023-05-18","cited_by_count":116,"area":null},{"id":"2305.13292","title":"VideoLLM: Modeling Video Sequence with Large Language Models","created":"2023-05-22","cited_by_count":116,"area":null},{"id":"2308.01907","title":"The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World","created":"2023-08-03","cited_by_count":116,"area":null},{"id":"2404.07973","title":"Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models","created":"2024-04-11","cited_by_count":97,"area":null},{"id":"2309.11419","title":"KOSMOS-2.5: A Multimodal Literate Model","created":"2023-09-20","cited_by_count":96,"area":null},{"id":"2402.19474","title":"The All-Seeing Project V2: Towards General Relation Comprehension of the Open World","created":"2024-02-29","cited_by_count":90,"area":null},{"id":"2305.08196","title":"A Comprehensive Survey on Segment Anything Model for Vision and Beyond","created":"2023-05-14","cited_by_count":64,"area":null},{"id":"2307.02469","title":"What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?","created":"2023-07-05","cited_by_count":64,"area":null},{"id":"2310.17796","title":"ControlLLM: Augment Language Models with Tools by Searching on Graphs","created":"2023-10-26","cited_by_count":59,"area":null},{"id":"2406.08418","title":"OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text","created":"2024-06-12","cited_by_count":59,"area":null},{"id":"2305.11173","title":"Going Denser with Open-Vocabulary Part Segmentation","created":"2023-05-18","cited_by_count":51,"area":null},{"id":"2306.06211","title":"A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering","created":"2023-05-12","cited_by_count":45,"area":null},{"id":"2312.10908","title":"CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update","created":"2023-12-18","cited_by_count":43,"area":null},{"id":"2407.15838","title":"MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity","created":"2024-07-22","cited_by_count":38,"area":null},{"id":"2405.19334","title":"LLMs Meet Multimodal Generation and Editing: A Survey","created":"2024-05-29","cited_by_count":35,"area":null},{"id":"2312.09128","title":"Tokenize Anything via Prompting","created":"2023-12-14","cited_by_count":31,"area":null},{"id":"2311.16081","title":"ViT-Lens: Towards Omni-modal Representations","created":"2023-11-27","cited_by_count":29,"area":null},{"id":"2312.14828","title":"Plan, Posture and Go: Towards Open-World Text-to-Motion Generation","created":"2023-12-22","cited_by_count":26,"area":null},{"id":"2407.12435","title":"F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions","created":"2024-07-17","cited_by_count":24,"area":null},{"id":"2312.02310","title":"VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding","created":"2023-12-04","cited_by_count":18,"area":null},{"id":"2405.11190","title":"ReasonPix2Pix: Instruction Reasoning Dataset for Advanced Image Editing","created":"2024-05-18","cited_by_count":14,"area":null},{"id":"2411.16313","title":"CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning","created":"2024-11-25","cited_by_count":14,"area":null},{"id":"2305.18498","title":"ANPL: Towards Natural Programming with Interactive Decomposition","created":"2023-05-29","cited_by_count":13,"area":null},{"id":"2409.18475","title":"Data Analysis in the Era of Generative AI","created":"2024-09-27","cited_by_count":6,"area":null},{"id":"2407.15086","title":"MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery","created":"2024-07-21","cited_by_count":5,"area":null},{"id":"2511.20614","title":"The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment","created":"2025-11-25","cited_by_count":5,"area":null},{"id":"2401.15688","title":"Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation","created":"2024-01-28","cited_by_count":4,"area":null},{"id":"2410.22370","title":"Survey of User Interface Design and Interaction Techniques in Generative AI Applications","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2412.09513","title":"Agent-based Video Trimming","created":"2024-12-12","cited_by_count":4,"area":null},{"id":"2412.18525","title":"Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization","created":"2024-12-24","cited_by_count":4,"area":null},{"id":"2404.11981","title":"Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation","created":"2024-04-18","cited_by_count":3,"area":null},{"id":"2503.10287","title":"MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic Alignment","created":"2025-03-13","cited_by_count":2,"area":null},{"id":"2412.03937","title":"AIpparel: A Multimodal Foundation Model for Digital Garments","created":"2024-12-05","cited_by_count":0,"area":null},{"id":"2506.09954","title":"Vision Generalist Model: A Survey","created":"2025-06-11","cited_by_count":0,"area":null}],"next_cursor":null}