{"total":119,"rows":[{"id":"2406.16860","title":"Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs","created":"2024-06-24","cited_by_count":838,"area":"mllm"},{"id":"2401.06209","title":"Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs","created":"2024-01-11","cited_by_count":735,"area":"mllm"},{"id":"2310.14566","title":"HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models","created":"2023-10-23","cited_by_count":583,"area":"mllm"},{"id":"2503.07536","title":"LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL","created":"2025-03-10","cited_by_count":248,"area":"lr"},{"id":"2404.16789","title":"Continual Learning of Large Language Models: A Comprehensive Survey","created":"2024-04-25","cited_by_count":234,"area":null},{"id":"2310.07521","title":"Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity","created":"2023-10-11","cited_by_count":206,"area":null},{"id":"2502.21257","title":"RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete","created":"2025-02-28","cited_by_count":135,"area":"mllm"},{"id":"2407.19354","title":"The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies","created":"2024-07-28","cited_by_count":131,"area":"agents"},{"id":"2403.02469","title":"Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review","created":"2024-03-04","cited_by_count":125,"area":"mllm"},{"id":"2502.14420","title":"ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model","created":"2025-02-20","cited_by_count":113,"area":"vla"},{"id":"2503.02199","title":"Words or Vision: Do Vision-Language Models Have Blind Faith in Text?","created":"2025-03-04","cited_by_count":89,"area":"mllm"},{"id":"2410.08202","title":"Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training","created":"2024-10-10","cited_by_count":82,"area":"mllm"},{"id":"2311.11860","title":"LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge","created":"2023-11-20","cited_by_count":81,"area":"mllm"},{"id":"2410.08001","title":"Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation","created":"2024-10-10","cited_by_count":73,"area":"vla"},{"id":"2410.03577","title":"Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models","created":"2024-10-04","cited_by_count":72,"area":"mllm"},{"id":"2403.04593","title":"Embodied Understanding of Driving Scenarios","created":"2024-03-07","cited_by_count":63,"area":"driving"},{"id":"2406.09400","title":"Yo'LLaVA: Your Personalized Language and Vision Assistant","created":"2024-06-13","cited_by_count":62,"area":"mllm"},{"id":"2403.08350","title":"CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model","created":"2024-03-13","cited_by_count":61,"area":"mllm"},{"id":"2312.02439","title":"Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation","created":"2023-12-05","cited_by_count":56,"area":"lr"},{"id":"2402.12048","title":"Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models","created":"2024-02-19","cited_by_count":54,"area":"mllm"},{"id":"2410.09732","title":"LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models","created":"2024-10-13","cited_by_count":51,"area":"mllm"},{"id":"2311.16206","title":"Continual Instruction Tuning for Large Multimodal Models","created":"2023-11-27","cited_by_count":49,"area":"mllm"},{"id":"2310.08475","title":"Can We Edit Multimodal Large Language Models?","created":"2023-10-12","cited_by_count":44,"area":"mllm"},{"id":"2402.09269","title":"Personalized Large Language Models","created":"2024-02-14","cited_by_count":44,"area":null},{"id":"2406.10727","title":"Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights","created":"2024-06-15","cited_by_count":44,"area":null},{"id":"2410.05352","title":"Recent Advances of Multimodal Continual Learning: A Comprehensive Survey","created":"2024-10-07","cited_by_count":39,"area":null},{"id":"2505.02486","title":"SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning","created":"2025-05-05","cited_by_count":33,"area":"mllm"},{"id":"2311.01487","title":"What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning","created":"2023-11-02","cited_by_count":28,"area":"lr"},{"id":"2312.02546","title":"Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning","created":"2023-12-05","cited_by_count":27,"area":"mllm"},{"id":"2507.05418","title":"Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning","created":"2025-07-07","cited_by_count":24,"area":"lr"},{"id":"2506.05453","title":"MLLM-CL: Continual Learning for Multimodal Large Language Models","created":"2025-06-05","cited_by_count":23,"area":"mllm"},{"id":"2508.10922","title":"A Survey on Video Temporal Grounding with Multimodal Large Language Model","created":"2025-08-07","cited_by_count":20,"area":"mllm"},{"id":"2407.04281","title":"WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving","created":"2024-07-05","cited_by_count":19,"area":"lr"},{"id":"2411.13949","title":"SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning","created":"2024-11-21","cited_by_count":19,"area":"mllm"},{"id":"2405.14953","title":"MallowsPO: Fine-Tune Your LLM with Preference Dispersions","created":"2024-05-23","cited_by_count":18,"area":"alignment"},{"id":"2311.08172","title":"Vision-Language Instruction Tuning: A Review and Analysis","created":"2023-11-14","cited_by_count":17,"area":"mllm"},{"id":"2404.17245","title":"Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting","created":"2024-04-26","cited_by_count":17,"area":null},{"id":"2405.19524","title":"AI Risk Management Should Incorporate Both Safety and Security","created":"2024-05-29","cited_by_count":17,"area":null},{"id":"2411.15537","title":"MUNBa: Machine Unlearning via Nash Bargaining","created":"2024-11-23","cited_by_count":17,"area":"safety"},{"id":"2504.21051","title":"Multimodal Large Language Models for Medicine: A Comprehensive Survey","created":"2025-04-29","cited_by_count":16,"area":"mllm"},{"id":"2404.11207","title":"Exploring the Transferability of Visual Prompting for Multimodal Large Language Models","created":"2024-04-17","cited_by_count":15,"area":"mllm"},{"id":"2310.15903","title":"Neural Collapse in Multi-label Learning with Pick-all-label Loss","created":"2023-10-24","cited_by_count":14,"area":null},{"id":"2502.11740","title":"Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent","created":"2025-02-17","cited_by_count":13,"area":"lr"},{"id":"2507.12566","title":"Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models","created":"2025-07-16","cited_by_count":13,"area":"mllm"},{"id":"2603.22281","title":"ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model","created":"2026-03-23","cited_by_count":13,"area":"wm"},{"id":"2408.00376","title":"On the Limitations and Prospects of Machine Unlearning for Generative AI","created":"2024-08-01","cited_by_count":12,"area":"safety"},{"id":"2410.20178","title":"LLMs Can Evolve Continually on Modality for X-Modal Reasoning","created":"2024-10-26","cited_by_count":12,"area":"lr"},{"id":"2506.10826","title":"RationalVLA: A Rational Vision-Language-Action Model with Dual System","created":"2025-06-12","cited_by_count":12,"area":"vla"},{"id":"2404.00942","title":"Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs","created":"2024-04-01","cited_by_count":10,"area":null},{"id":"2501.15147","title":"A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models","created":"2025-01-25","cited_by_count":10,"area":"lr"},{"id":"2509.10345","title":"Towards Understanding Visual Grounding in Visual Language Models","created":"2025-09-12","cited_by_count":10,"area":"mllm"},{"id":"2503.01887","title":"When Continue Learning Meets Multimodal Large Language Model: A Survey","created":"2025-02-27","cited_by_count":9,"area":"mllm"},{"id":"2509.15178","title":"Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding","created":"2025-09-18","cited_by_count":9,"area":"mllm"},{"id":"2402.16968","title":"A Survey of Large Language Models in Cybersecurity","created":"2024-02-26","cited_by_count":8,"area":null},{"id":"2405.19581","title":"Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases","created":"2024-05-30","cited_by_count":8,"area":null},{"id":"2501.07482","title":"TiEBe: Tracking Language Model Recall of Notable Worldwide Events Through Time","created":"2025-01-13","cited_by_count":8,"area":null},{"id":"2505.09787","title":"A Multimodal Multi-Agent Framework for Radiology Report Generation","created":"2025-05-14","cited_by_count":8,"area":"agents"},{"id":"2507.16863","title":"Position: Reasoning After Perception Means Reasoning Without Vision","created":"2025-07-21","cited_by_count":8,"area":"lr"},{"id":"2310.00898","title":"Enabling Language Models to Implicitly Learn Self-Improvement","created":"2023-10-02","cited_by_count":7,"area":"alignment"},{"id":"2505.19003","title":"Aligning LLM with human travel choices: a persona-based embedding learning approach","created":"2025-05-25","cited_by_count":7,"area":null},{"id":"2404.18311","title":"Towards Incremental Learning in Large Language Models: A Critical Review","created":"2024-04-28","cited_by_count":6,"area":null},{"id":"2407.05758","title":"Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports","created":"2024-07-08","cited_by_count":6,"area":"mllm"},{"id":"2508.16910","title":"Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment","created":"2025-08-23","cited_by_count":6,"area":"lr"},{"id":"2512.03125","title":"Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models","created":"2025-12-02","cited_by_count":6,"area":null},{"id":"2603.01228","title":"Towards Policy-Adaptive Image Guardrail: Benchmark and Method","created":"2026-03-01","cited_by_count":6,"area":"safety"},{"id":"2407.08410","title":"Specialized curricula for training vision-language models in retinal image analysis","created":"2024-07-11","cited_by_count":5,"area":"mllm"},{"id":"2309.15857","title":"A Survey on Image-text Multimodal Models","created":"2023-09-23","cited_by_count":4,"area":null},{"id":"2506.10378","title":"Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning","created":"2025-06-12","cited_by_count":4,"area":null},{"id":"2508.00260","title":"Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models","created":"2025-08-01","cited_by_count":4,"area":"mllm"},{"id":"2603.09892","title":"MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning","created":"2026-03-10","cited_by_count":4,"area":null},{"id":"2604.16909","title":"PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations","created":"2026-04-18","cited_by_count":4,"area":"lr"},{"id":"2311.05061","title":"Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics","created":"2023-11-08","cited_by_count":3,"area":null},{"id":"2407.11203","title":"The Life Cycle of Large Language Models: A Review of Biases in Education","created":"2024-06-03","cited_by_count":3,"area":null},{"id":"2506.11103","title":"You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models","created":"2025-06-06","cited_by_count":3,"area":null},{"id":"2603.13335","title":"Information-Theoretic Constraints for Continual Vision-Language-Action Alignment","created":"2026-03-06","cited_by_count":3,"area":"vla"},{"id":"2608.05000","title":"Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes","created":"2026-08-05","cited_by_count":3,"area":null},{"id":"2310.07236","title":"AdaMesh: Personalized Facial Expressions and Head Poses for Adaptive Speech-Driven 3D Facial Animation","created":"2023-10-11","cited_by_count":2,"area":null},{"id":"2504.13898","title":"Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning","created":"2025-04-07","cited_by_count":2,"area":"lr"},{"id":"2504.19734","title":"LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding","created":"2025-04-28","cited_by_count":2,"area":null},{"id":"2507.05520","title":"Architecting Clinical Collaboration: Multi-Agent Reasoning Systems for Multimodal Medical VQA","created":"2025-07-07","cited_by_count":2,"area":"lr"},{"id":"2508.11326","title":"MoE-TTS: Enhancing Out-of-Domain Text Understanding for Description-based TTS via Mixture-of-Experts","created":"2025-08-15","cited_by_count":2,"area":"moe"},{"id":"2509.11360","title":"GLaVE-Cap: Global-Local Aligned Video Captioning with Vision Expert Integration","created":"2025-09-14","cited_by_count":2,"area":null},{"id":"2602.00839","title":"TransNormal: Dense Visual Semantics for Diffusion-based Transparent Object Normal Estimation","created":"2026-01-31","cited_by_count":2,"area":null},{"id":"2604.16943","title":"MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation","created":"2026-04-18","cited_by_count":2,"area":"mllm"},{"id":"2605.10765","title":"Dynamic Cross-Modal Prompt Generation for Multimodal Continual Instruction Tuning","created":"2026-05-11","cited_by_count":2,"area":"mllm"},{"id":"2402.14002","title":"Hallucinations or Attention Misdirection? The Path to Strategic Value Extraction in Business Using Large Language Models","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2407.21276","title":"Knowledge Pyramid Construction for Multi-Level Retrieval-Augmented Generation","created":"2024-07-31","cited_by_count":1,"area":"rag"},{"id":"2502.11532","title":"Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation","created":"2025-02-17","cited_by_count":1,"area":"diffusion"},{"id":"2504.01386","title":"DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data","created":"2025-04-02","cited_by_count":1,"area":null},{"id":"2506.21864","title":"DeepOmni: Towards Seamless and Smart Speech Interaction with Adaptive Modality-Specific MoE","created":"2025-06-27","cited_by_count":1,"area":"mllm"},{"id":"2508.02841","title":"A Multi-Agent System for Complex Reasoning in Radiology Visual Question Answering","created":"2025-08-04","cited_by_count":1,"area":"lr"},{"id":"2510.11012","title":"COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models","created":"2025-10-13","cited_by_count":1,"area":"lr"},{"id":"2511.15986","title":"Fairness in Multi-modal Medical Diagnosis with Demonstration Selection","created":"2025-11-20","cited_by_count":1,"area":"mllm"},{"id":"2511.17668","title":"MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation","created":"2025-11-21","cited_by_count":1,"area":null},{"id":"2602.02548","title":"ToolTok: Tool Tokenization for Efficient and Generalizable GUI Agents","created":"2026-01-30","cited_by_count":1,"area":"agents"},{"id":"2603.16340","title":"Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation","created":"2026-03-17","cited_by_count":1,"area":"diffusion"},{"id":"2604.00829","title":"LinguDistill: Recovering Linguistic Ability in Vision-Language Models via Selective Cross-Modal Distillation","created":"2026-04-01","cited_by_count":1,"area":"mllm"},{"id":"2606.24292","title":"ActiveScope: Actively Seeking and Correcting Perception for MLLMs","created":"2026-06-23","cited_by_count":1,"area":"mllm"},{"id":"2311.09680","title":"Trustworthy Large Models in Vision: A Survey","created":"2023-11-16","cited_by_count":0,"area":null},{"id":"2405.13383","title":"Gradient Projection For Continual Parameter-Efficient Tuning","created":"2024-05-22","cited_by_count":0,"area":null}],"next_cursor":"100"}