Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Deng, Shijian, Zhao, Wentian, Li, Yu-Jhe, Wan, Kun, Miranda, Daniel, Kale, Ajinkya, Tian, Yapeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Improvement in Multimodal Large Language Models: A Survey
by: Deng, Shijian, et al.
Published: (2025)
by: Deng, Shijian, et al.
Published: (2025)
Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See
by: Zhang, Zeliang, et al.
Published: (2024)
by: Zhang, Zeliang, et al.
Published: (2024)
Modality-Inconsistent Continual Learning of Multimodal Large Language Models
by: Pian, Weiguo, et al.
Published: (2024)
by: Pian, Weiguo, et al.
Published: (2024)
DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
by: Wang, Zhenting, et al.
Published: (2025)
by: Wang, Zhenting, et al.
Published: (2025)
Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation
by: Li, Yu-Jhe, et al.
Published: (2024)
by: Li, Yu-Jhe, et al.
Published: (2024)
Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models
by: Deniz, Omer Faruk, et al.
Published: (2026)
by: Deniz, Omer Faruk, et al.
Published: (2026)
AV-DiT: Efficient Audio-Visual Diffusion Transformer for Joint Audio and Video Generation
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
by: Wang, Qinsi, et al.
Published: (2025)
by: Wang, Qinsi, et al.
Published: (2025)
UniFusion: Vision-Language Model as Unified Encoder in Image Generation
by: Li, Kevin, et al.
Published: (2025)
by: Li, Kevin, et al.
Published: (2025)
SignLLM: Sign Language Production Large Language Models
by: Fang, Sen, et al.
Published: (2024)
by: Fang, Sen, et al.
Published: (2024)
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
by: Zhao, Yuwei, et al.
Published: (2024)
by: Zhao, Yuwei, et al.
Published: (2024)
Recommending Usability Improvements with Multimodal Large Language Models
by: Lubos, Sebastian, et al.
Published: (2026)
by: Lubos, Sebastian, et al.
Published: (2026)
Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation
by: Zheng, Shuhong, et al.
Published: (2026)
by: Zheng, Shuhong, et al.
Published: (2026)
AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
by: Wu, Peilin, et al.
Published: (2026)
by: Wu, Peilin, et al.
Published: (2026)
LFTR: Learning-Free Token Reduction for Multimodal Large Language Models
by: Zhao, Zihui, et al.
Published: (2025)
by: Zhao, Zihui, et al.
Published: (2025)
Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
by: Yuan, Jiayi, et al.
Published: (2025)
by: Yuan, Jiayi, et al.
Published: (2025)
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)
by: Ding, Meidan, et al.
Published: (2025)
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning
by: Xu, Wujiang, et al.
Published: (2025)
by: Xu, Wujiang, et al.
Published: (2025)
Judge Model for Large-scale Multimodality Benchmarks
by: Shih, Min-Han, et al.
Published: (2026)
by: Shih, Min-Han, et al.
Published: (2026)
Training-Free Multimodal Large Language Model Orchestration
by: Xie, Tianyu, et al.
Published: (2025)
by: Xie, Tianyu, et al.
Published: (2025)
A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models
by: Li, Duo, et al.
Published: (2025)
by: Li, Duo, et al.
Published: (2025)
Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models
by: Chen, Jiaxing, et al.
Published: (2024)
by: Chen, Jiaxing, et al.
Published: (2024)
Towards Online Multi-Modal Social Interaction Understanding
by: Li, Xinpeng, et al.
Published: (2025)
by: Li, Xinpeng, et al.
Published: (2025)
Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization
by: Wan, Weijie, et al.
Published: (2026)
by: Wan, Weijie, et al.
Published: (2026)
Self-Improvement of Large Language Models: A Technical Overview and Future Outlook
by: Yang, Haoyan, et al.
Published: (2026)
by: Yang, Haoyan, et al.
Published: (2026)
Referring Multiple Regions with Large Multimodal Models via Contextual Latent Steering
by: Xing, Yun, et al.
Published: (2026)
by: Xing, Yun, et al.
Published: (2026)
Dynamic Noise Preference Optimization: Self-Improvement of Large Language Models with Self-Synthetic Data
by: Yang, Haoyan, et al.
Published: (2025)
by: Yang, Haoyan, et al.
Published: (2025)
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)
by: Chen, Dongping, et al.
Published: (2024)
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
by: Song, Yuda, et al.
Published: (2024)
by: Song, Yuda, et al.
Published: (2024)
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
Semantic Alignment for Multimodal Large Language Models
by: Wu, Tao, et al.
Published: (2024)
by: Wu, Tao, et al.
Published: (2024)
Do Large Language Models Judge Error Severity Like Humans?
by: Sun, Diege, et al.
Published: (2025)
by: Sun, Diege, et al.
Published: (2025)
When Large Language Models are Reliable for Judging Empathic Communication
by: Kumar, Aakriti, et al.
Published: (2025)
by: Kumar, Aakriti, et al.
Published: (2025)
Dynamic Pyramid Network for Efficient Multimodal Large Language Model
by: Ai, Hao, et al.
Published: (2025)
by: Ai, Hao, et al.
Published: (2025)
Direction-aware 3D Large Multimodal Models
by: Liu, Quan, et al.
Published: (2026)
by: Liu, Quan, et al.
Published: (2026)
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
by: Laskar, Md Tahmid Rahman, et al.
Published: (2025)
by: Laskar, Md Tahmid Rahman, et al.
Published: (2025)
Explainable AI-Generated Image Detection RewardBench
by: Yang, Michael, et al.
Published: (2025)
by: Yang, Michael, et al.
Published: (2025)
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
by: Li, Yifan, et al.
Published: (2024)
by: Li, Yifan, et al.
Published: (2024)
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
by: Zhu, Lianghui, et al.
Published: (2023)
by: Zhu, Lianghui, et al.
Published: (2023)
Similar Items
-
Self-Improvement in Multimodal Large Language Models: A Survey
by: Deng, Shijian, et al.
Published: (2025) -
Treat Visual Tokens as Text? But Your MLLM Only Needs Fewer Efforts to See
by: Zhang, Zeliang, et al.
Published: (2024) -
Modality-Inconsistent Continual Learning of Multimodal Large Language Models
by: Pian, Weiguo, et al.
Published: (2024) -
DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
by: Wang, Zhenting, et al.
Published: (2025) -
Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation
by: Li, Yu-Jhe, et al.
Published: (2024)