PersonaVLM: Long-Term Personalized Multimodal LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Nie, Chang, Fu, Chaoyou, Zhang, Yifan, Yang, Haihua, Shan, Caifeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding
by: Yang, Ruoliu, et al.
Published: (2026)
by: Yang, Ruoliu, et al.
Published: (2026)
MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
by: Fu, Chaoyou, et al.
Published: (2024)
by: Fu, Chaoyou, et al.
Published: (2024)
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
by: Zhang, Di, et al.
Published: (2024)
by: Zhang, Di, et al.
Published: (2024)
Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation
by: Yin, Shukang, et al.
Published: (2024)
by: Yin, Shukang, et al.
Published: (2024)
Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge
by: Lee, Young-Jun, et al.
Published: (2024)
by: Lee, Young-Jun, et al.
Published: (2024)
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
by: Fu, Chaoyou, et al.
Published: (2024)
by: Fu, Chaoyou, et al.
Published: (2024)
MLLMReID: Multimodal Large Language Model-based Person Re-identification
by: Yang, Shan, et al.
Published: (2024)
by: Yang, Shan, et al.
Published: (2024)
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM
by: Gao, Timin, et al.
Published: (2024)
by: Gao, Timin, et al.
Published: (2024)
Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion
by: Li, Lijiang, et al.
Published: (2026)
by: Li, Lijiang, et al.
Published: (2026)
VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
by: Meng, Rui, et al.
Published: (2025)
by: Meng, Rui, et al.
Published: (2025)
VITA: Towards Open-Source Interactive Omni Multimodal LLM
by: Fu, Chaoyou, et al.
Published: (2024)
by: Fu, Chaoyou, et al.
Published: (2024)
According to Me: Long-Term Personalized Referential Memory QA
by: Mei, Jingbiao, et al.
Published: (2026)
by: Mei, Jingbiao, et al.
Published: (2026)
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
by: Gan, Ziliang, et al.
Published: (2024)
by: Gan, Ziliang, et al.
Published: (2024)
A Thousand Words or An Image: Studying the Influence of Persona Modality in Multimodal LLMs
by: Broomfield, Julius, et al.
Published: (2025)
by: Broomfield, Julius, et al.
Published: (2025)
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
by: Zhang, Yi-Fan, et al.
Published: (2025)
by: Zhang, Yi-Fan, et al.
Published: (2025)
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
by: Zhang, Yi-Fan, et al.
Published: (2025)
by: Zhang, Yi-Fan, et al.
Published: (2025)
Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA
by: Zhao, Pu, et al.
Published: (2025)
by: Zhao, Pu, et al.
Published: (2025)
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey
by: An, Wenbin, et al.
Published: (2025)
by: An, Wenbin, et al.
Published: (2025)
TeleMem: Building Long-Term and Multimodal Memory for Agentic AI
by: Chen, Chunliang, et al.
Published: (2025)
by: Chen, Chunliang, et al.
Published: (2025)
LLMs Meet Long Video: Advancing Long Video Question Answering with An Interactive Visual Adapter in LLMs
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
by: Qian, Yusu, et al.
Published: (2024)
by: Qian, Yusu, et al.
Published: (2024)
A Survey on Multimodal Large Language Models
by: Yin, Shukang, et al.
Published: (2023)
by: Yin, Shukang, et al.
Published: (2023)
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
by: Fu, Chaoyou, et al.
Published: (2023)
by: Fu, Chaoyou, et al.
Published: (2023)
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
by: Ma, David, et al.
Published: (2025)
by: Ma, David, et al.
Published: (2025)
UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs
by: Jiang, Houcheng, et al.
Published: (2026)
by: Jiang, Houcheng, et al.
Published: (2026)
An Effective End-to-End Solution for Multimodal Action Recognition
by: Wang, Songping, et al.
Published: (2025)
by: Wang, Songping, et al.
Published: (2025)
CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
by: Fu, Jinlan, et al.
Published: (2025)
by: Fu, Jinlan, et al.
Published: (2025)
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
by: Park, ChaeHun, et al.
Published: (2024)
by: Park, ChaeHun, et al.
Published: (2024)
EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
by: Tan, Zhiyu, et al.
Published: (2024)
by: Tan, Zhiyu, et al.
Published: (2024)
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
by: Jiang, Ziyan, et al.
Published: (2024)
by: Jiang, Ziyan, et al.
Published: (2024)
Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection
by: Wang, Shan, et al.
Published: (2025)
by: Wang, Shan, et al.
Published: (2025)
$\mathcal{V}isi\mathcal{P}runer$: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs
by: Fan, Yingqi, et al.
Published: (2025)
by: Fan, Yingqi, et al.
Published: (2025)
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
by: Cho, Seunghyuk, et al.
Published: (2025)
by: Cho, Seunghyuk, et al.
Published: (2025)
Understanding Alignment in Multimodal LLMs: A Comprehensive Study
by: Amirloo, Elmira, et al.
Published: (2024)
by: Amirloo, Elmira, et al.
Published: (2024)
EviMem: Evidence-Gap-Driven Iterative Retrieval for Long-Term Conversational Memory
by: Li, Yuyang, et al.
Published: (2026)
by: Li, Yuyang, et al.
Published: (2026)
EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents
by: Cheng, Zhili, et al.
Published: (2025)
by: Cheng, Zhili, et al.
Published: (2025)
Towards Harmless Multimodal Assistants with Blind Preference Optimization
by: Li, Yongqi, et al.
Published: (2025)
by: Li, Yongqi, et al.
Published: (2025)
A Survey on Benchmarks of Multimodal Large Language Models
by: Li, Jian, et al.
Published: (2024)
by: Li, Jian, et al.
Published: (2024)
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
by: Xie, Wulin, et al.
Published: (2025)
by: Xie, Wulin, et al.
Published: (2025)
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
by: Li, Jinyuan, et al.
Published: (2024)
by: Li, Jinyuan, et al.
Published: (2024)
Similar Items
-
VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding
by: Yang, Ruoliu, et al.
Published: (2026) -
MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
by: Fu, Chaoyou, et al.
Published: (2024) -
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
by: Zhang, Di, et al.
Published: (2024) -
Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation
by: Yin, Shukang, et al.
Published: (2024) -
Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge
by: Lee, Young-Jun, et al.
Published: (2024)