{"total":31,"rows":[{"id":"2411.17558","title":"Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey","created":"2024-11-26","cited_by_count":76,"area":"mllm"},{"id":"2311.16093","title":"Visual cognition in multimodal large language models","created":"2023-11-27","cited_by_count":38,"area":"mllm"},{"id":"2408.09698","title":"Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation","created":"2024-08-19","cited_by_count":33,"area":"mllm"},{"id":"2310.07355","title":"IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training","created":"2023-10-11","cited_by_count":23,"area":"mllm"},{"id":"2403.13447","title":"HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models","created":"2024-03-20","cited_by_count":20,"area":"mllm"},{"id":"2503.19338","title":"Membership Inference Attacks on Large-Scale Models: A Survey","created":"2025-03-25","cited_by_count":18,"area":"mllm"},{"id":"2410.02155","title":"From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities","created":"2024-10-03","cited_by_count":16,"area":"mllm"},{"id":"2402.17510","title":"Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning","created":"2024-02-27","cited_by_count":14,"area":"mllm"},{"id":"2406.10215","title":"DevBench: A multimodal developmental benchmark for language learning","created":"2024-06-14","cited_by_count":13,"area":"mllm"},{"id":"2309.01516","title":"MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval","created":"2023-09-04","cited_by_count":9,"area":"mllm"},{"id":"2506.23639","title":"Unified Multimodal Understanding via Byte-Pair Visual Encoding","created":"2025-06-30","cited_by_count":9,"area":"mllm"},{"id":"2409.09502","title":"One missing piece in Vision and Language: A Survey on Comics Understanding","created":"2024-09-14","cited_by_count":8,"area":"mllm"},{"id":"2501.00750","title":"Beyond Text: Implementing Multimodal Large Language Model-Powered Multi-Agent Systems Using a No-Code Platform","created":"2025-01-01","cited_by_count":5,"area":"mllm"},{"id":"2510.07513","title":"MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis","created":"2025-10-08","cited_by_count":5,"area":"mllm"},{"id":"2603.27918","title":"Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey","created":"2026-03-30","cited_by_count":4,"area":"mllm"},{"id":"2403.18996","title":"Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models","created":"2024-03-27","cited_by_count":2,"area":"mllm"},{"id":"2606.31982","title":"ERA: Entropy-Guided Visual Token Pruning with Rectified Attention for Efficient MLLMs","created":"2026-06-30","cited_by_count":2,"area":"mllm"},{"id":"2308.06035","title":"Attention, not scale, drives human-AI alignment in multimodal language prediction","created":"2023-08-11","cited_by_count":1,"area":"mllm"},{"id":"2310.17737","title":"ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages","created":"2023-10-26","cited_by_count":1,"area":"mllm"},{"id":"2411.18038","title":"VLM-HOI: Vision Language Models for Interpretable Human-Object Interaction Analysis","created":"2024-11-27","cited_by_count":1,"area":"mllm"},{"id":"2508.17638","title":"Dynamic Embedding of Hierarchical Visual Features for Efficient Vision-Language Fine-Tuning","created":"2025-08-25","cited_by_count":1,"area":"mllm"},{"id":"2509.14571","title":"VisMoDAl: Visual Analytics for Evaluating and Improving Corruption Robustness of Vision-Language Models","created":"2025-09-18","cited_by_count":1,"area":"mllm"},{"id":"2512.16921","title":"Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification","created":"2025-12-18","cited_by_count":1,"area":"mllm"},{"id":"2602.07790","title":"MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training","created":"2026-02-08","cited_by_count":1,"area":"mllm"},{"id":"2602.23676","title":"Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering","created":"2026-02-27","cited_by_count":1,"area":"mllm"},{"id":"2604.16264","title":"Information Router for Mitigating Modality Dominance in Vision-Language Models","created":"2026-04-17","cited_by_count":1,"area":"mllm"},{"id":"2410.04426","title":"CoVLM: Leveraging Consensus from Vision-Language Models for Semi-supervised Multi-modal Fake News Detection","created":"2024-10-06","cited_by_count":0,"area":"mllm"},{"id":"2603.17173","title":"Generalist Multimodal LLMs Gain Biometric Expertise via Human Salience","created":"2026-03-17","cited_by_count":0,"area":"mllm"},{"id":"2606.01207","title":"Feature Alignment Determines Fusion Strategy: A Comparative Study of Cross-Attention and Concatenation in Multimodal Learning","created":"2026-05-31","cited_by_count":0,"area":"mllm"},{"id":"2608.07535","title":"Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards","created":"2026-07-27","cited_by_count":0,"area":"mllm"},{"id":"2608.14651","title":"Evaluating Multimodal LLMs across Text and Audio Modalities for Accessible Disaster Assistance","created":"2026-07-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}