activity
20232026
most citedMM-LLMs: Recent Advances in MultiModal Large Language Models

16 citations · 21 across the 12 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Bring Your Dreams to Life: Continual Text-to-Video Customization

Jiahua Dong, Xudong Wang, Wenqi Liang +7

Customized text-to-video generation (CTVG) has recently witnessed great progress in generating tailored videos from user-specific text. However, most CTVG methods assume that perso…

cs.CL2025

Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition

Duzhen Zhang, Chenxing Li, Jiahua Dong +2

Continual Named Entity Recognition (CNER) is an evolving field that focuses on sequentially updating an existing model to incorporate new entity types. Previous CNER methods primar…

cs.CL2025

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA

Duzhen Zhang, Yong Ren, Zhong-Zhi Li +5

Multimodal Continual Instruction Tuning (MCIT) aims to finetune Multimodal Large Language Models (MLLMs) to continually align with human intent across sequential tasks. Existing ap…

cs.MM2025

Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model

Yong Ren, Chenxing Li, Le Xu +7

Humans can intuitively infer sounds from silent videos, but whether multimodal large language models can perform modal-mismatch reasoning without accessing target modalities remain…

cs.AI2025★ 4 cited

Lifelong Learning of Large Language Model based Agents: A Roadmap

Junhao Zheng, Chengming Shi, Xidi Cai +5

Lifelong learning, also known as continual or incremental learning, is a crucial component for advancing Artificial General Intelligence (AGI) by enabling systems to continuously a…