{"total":87,"rows":[{"id":"2403.12895","title":"mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding","created":"2024-03-19","cited_by_count":220,"area":null},{"id":"2504.08528","title":"On The Landscape of Spoken Language Models: A Comprehensive Survey","created":"2025-04-11","cited_by_count":118,"area":null},{"id":"2404.00929","title":"A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias","created":"2024-04-01","cited_by_count":84,"area":null},{"id":"2411.17040","title":"Multimodal Alignment and Fusion: A Survey","created":"2024-11-26","cited_by_count":74,"area":null},{"id":"2501.10326","title":"Large language models for automated scholarly paper review: A survey","created":"2025-01-17","cited_by_count":61,"area":null},{"id":"2404.15736","title":"What Makes Multimodal In-Context Learning Work?","created":"2024-04-24","cited_by_count":56,"area":null},{"id":"2501.12612","title":"T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation","created":"2025-01-22","cited_by_count":48,"area":null},{"id":"2504.14603","title":"UFO2: The Desktop AgentOS","created":"2025-04-20","cited_by_count":41,"area":null},{"id":"2404.14368","title":"Graphic Design with Large Multimodal Model","created":"2024-04-22","cited_by_count":40,"area":null},{"id":"2505.20662","title":"AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage","created":"2025-05-27","cited_by_count":32,"area":null},{"id":"2412.18619","title":"Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey","created":"2024-12-16","cited_by_count":27,"area":null},{"id":"2404.05052","title":"Facial Affective Behavior Analysis with Instruction Tuning","created":"2024-04-07","cited_by_count":26,"area":null},{"id":"2506.07233","title":"Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding","created":"2025-06-08","cited_by_count":24,"area":null},{"id":"2405.17927","title":"The Evolution of Multimodal Model Architectures","created":"2024-05-28","cited_by_count":21,"area":null},{"id":"2406.10326","title":"VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMs","created":"2024-06-14","cited_by_count":20,"area":null},{"id":"2409.04267","title":"An overview of domain-specific foundation model: key technologies, applications and challenges","created":"2024-09-06","cited_by_count":19,"area":null},{"id":"2506.10890","title":"CreatiPoster: Towards Editable and Controllable Multi-Layer Graphic Design Generation","created":"2025-06-12","cited_by_count":19,"area":null},{"id":"2406.00380","title":"HonestLLM: Toward an Honest and Helpful Large Language Model","created":"2024-06-01","cited_by_count":18,"area":null},{"id":"2404.00216","title":"Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness","created":"2024-03-30","cited_by_count":17,"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":"2603.01840","title":"FireRed-OCR Technical Report","created":"2026-03-02","cited_by_count":13,"area":null},{"id":"2503.01879","title":"Nexus: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision","created":"2025-02-26","cited_by_count":12,"area":null},{"id":"2409.12963","title":"Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner","created":"2024-09-19","cited_by_count":11,"area":null},{"id":"2404.15349","title":"A Survey on Multimodal Wearable Sensor-based Human Action Recognition","created":"2024-04-14","cited_by_count":10,"area":null},{"id":"2407.11784","title":"Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development","created":"2024-07-16","cited_by_count":10,"area":null},{"id":"2412.14056","title":"A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future","created":"2024-12-18","cited_by_count":9,"area":null},{"id":"2510.02778","title":"AdaRD-key: Adaptive Relevance-Diversity Keyframe Sampling for Long-form Video understanding","created":"2025-10-03","cited_by_count":9,"area":null},{"id":"2410.01812","title":"From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice","created":"2024-09-14","cited_by_count":8,"area":null},{"id":"2504.09282","title":"VideoAds for Fast-Paced Video Understanding","created":"2025-04-12","cited_by_count":8,"area":null},{"id":"2409.08907","title":"Affective Computing Has Changed: The Foundation Model Disruption","created":"2024-09-13","cited_by_count":7,"area":null},{"id":"2412.17339","title":"MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models","created":"2024-12-23","cited_by_count":7,"area":null},{"id":"2503.09427","title":"Language-Enhanced Representation Learning for Single-Cell Transcriptomics","created":"2025-03-12","cited_by_count":7,"area":null},{"id":"2505.10946","title":"ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access","created":"2025-05-16","cited_by_count":7,"area":null},{"id":"2506.09473","title":"Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning","created":"2025-06-11","cited_by_count":7,"area":null},{"id":"2406.08990","title":"BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics","created":"2024-06-13","cited_by_count":6,"area":null},{"id":"2409.14306","title":"LLMs are One-Shot URL Classifiers and Explainers","created":"2024-09-22","cited_by_count":6,"area":null},{"id":"2503.04506","title":"Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study","created":"2025-03-06","cited_by_count":6,"area":null},{"id":"2412.01233","title":"Best Practices for Large Language Models in Radiology","created":"2024-12-02","cited_by_count":5,"area":null},{"id":"2412.08642","title":"Generative Semantic Communication: Architectures, Technologies, and Applications","created":"2024-12-11","cited_by_count":5,"area":null},{"id":"2503.04201","title":"Knowledge-Decoupled Synergetic Learning: An MLLM based Collaborative Approach to Few-shot Multimodal Dialogue Intention Recognition","created":"2025-03-06","cited_by_count":5,"area":null},{"id":"2506.01872","title":"Is Extending Modality The Right Path Towards Omni-Modality?","created":"2025-06-02","cited_by_count":5,"area":null},{"id":"2506.06579","title":"Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques","created":"2025-06-06","cited_by_count":5,"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":"2512.22208","title":"Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA","created":"2025-12-22","cited_by_count":5,"area":null},{"id":"2403.01570","title":"Small Models are LLM Knowledge Triggers on Medical Tabular Prediction","created":"2024-03-03","cited_by_count":4,"area":null},{"id":"2404.01713","title":"Generative AI for Immersive Communication: The Next Frontier in Internet-of-Senses Through 6G","created":"2024-04-02","cited_by_count":4,"area":null},{"id":"2405.07638","title":"DoLLM: How Large Language Models Understanding Network Flow Data to Detect Carpet Bombing DDoS","created":"2024-05-13","cited_by_count":4,"area":null},{"id":"2406.12668","title":"Disturbing Image Detection Using LMM-Elicited Emotion Embeddings","created":"2024-06-18","cited_by_count":4,"area":null},{"id":"2510.05625","title":"Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks","created":"2025-10-07","cited_by_count":4,"area":null},{"id":"2602.04920","title":"CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning","created":"2026-02-04","cited_by_count":4,"area":null},{"id":"2409.15342","title":"Recall: Empowering Multimodal Embedding for Edge Devices","created":"2024-09-09","cited_by_count":3,"area":null},{"id":"2412.13859","title":"Zero-Shot Prompting and Few-Shot Fine-Tuning: Revisiting Document Image Classification Using Large Language Models","created":"2024-12-18","cited_by_count":3,"area":null},{"id":"2510.20877","title":"Multimodal Negative Learning","created":"2025-10-23","cited_by_count":3,"area":null},{"id":"2406.03017","title":"DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain","created":"2024-06-05","cited_by_count":2,"area":null},{"id":"2409.09221","title":"Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy?","created":"2024-09-13","cited_by_count":2,"area":null},{"id":"2412.11139","title":"ViSymRe: Vision Multimodal Symbolic Regression","created":"2024-12-15","cited_by_count":2,"area":null},{"id":"2502.05701","title":"TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model","created":"2025-02-08","cited_by_count":2,"area":null},{"id":"2502.10642","title":"Demographic User Modeling for Social Robotics with Multimodal Pre-trained Models","created":"2025-02-15","cited_by_count":2,"area":null},{"id":"2503.20990","title":"FinAudio: A Benchmark for Audio Large Language Models in Financial Applications","created":"2025-03-26","cited_by_count":2,"area":null},{"id":"2506.00358","title":"$\\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time","created":"2025-05-31","cited_by_count":2,"area":null},{"id":"2506.03155","title":"Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2507.11099","title":"A Survey on Interpretability in Visual Recognition","created":"2025-07-15","cited_by_count":2,"area":null},{"id":"2508.00782","title":"SpA2V: Harnessing Spatial Auditory Cues for Audio-driven Spatially-aware Video Generation","created":"2025-08-01","cited_by_count":2,"area":null},{"id":"2508.08612","title":"Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2508.12854","title":"E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2510.13105","title":"EgoSocial: Benchmarking Proactive Intervention Ability of Omnimodal LLMs via Egocentric Social Interaction Perception","created":"2025-10-15","cited_by_count":2,"area":null},{"id":"2601.08133","title":"How Do Optical Flow and Textual Prompts Collaborate to Assist in Audio-Visual Semantic Segmentation?","created":"2026-01-13","cited_by_count":2,"area":null},{"id":"2403.16112","title":"Opportunities and challenges in the application of large artificial intelligence models in radiology","created":"2024-03-24","cited_by_count":1,"area":null},{"id":"2407.14268","title":"Urban Visual Appeal According to ChatGPT: Contrasting AI and Human Insights","created":"2024-06-29","cited_by_count":1,"area":null},{"id":"2503.16579","title":"World Knowledge from AI Image Generation for Robot Control","created":"2025-03-20","cited_by_count":1,"area":null},{"id":"2504.00843","title":"Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work","created":"2025-04-01","cited_by_count":1,"area":null},{"id":"2602.20624","title":"Physics-based phenomenological characterization of cross-modal bias in multimodal models","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2411.03328","title":"Foundation Models for Rapid Autonomy Validation","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2504.13971","title":"The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges","created":"2025-04-17","cited_by_count":0,"area":null},{"id":"2505.20933","title":"Information-Theoretic Complementary Prompts for Improved Continual Text Classification","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2506.16064","title":"Self-Critique-Guided Curiosity Refinement: Enhancing Honesty and Helpfulness in Large Language Models via In-Context Learning","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2508.16527","title":"Towards Open World Detection: A Survey","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2509.00140","title":"LLM-based Zero-shot Triple Extraction for Automated Ontology Generation from Software Engineering Standards","created":"2025-08-29","cited_by_count":0,"area":null},{"id":"2509.02100","title":"E-THER: A Multimodal Dataset for Empathic AI -- Towards Emotional Mismatch Awareness","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2509.02241","title":"LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2511.11777","title":"Large Language Models and 3D Vision for Intelligent Robotic Perception and Autonomy","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2606.01858","title":"Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.02168","title":"Disentanglement-Based Equivariant Learning for Compositional VQA","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.09169","title":"IMUG-Bench: Benchmarking Unified Multimodal Models on Interleaved Understanding and Generation","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2607.25716","title":"SpeechLLM Meets Federated Learning for End-to-End ASR: English and Italian Case Studies","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.18138","title":"Language Models for Portuguese: A Systematic Mapping Study","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2609.33288","title":"Informative Viewpoint Selection for Episodic-Memory Embodied Question Answering using Omnidirectional Images","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}