Cover Image

MLLM-Microscope: Unlocking Hidden Structure Within Multimodal Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mussabayev, Ravil, Mussabayev, Rustam
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

WRDScore: New Metric for Evaluation of Natural Language Generation Models
by: Mussabayev, Ravil
Published: (2024)

Superior Parallel Big Data Clustering through Competitive Stochastic Sample Size Optimization in Big-means
by: Mussabayev, Rustam, et al.
Published: (2024)

Comparative Analysis of Optimization Strategies for K-means Clustering in Big Data Contexts: A Review
by: Mussabayev, Ravil, et al.
Published: (2023)

Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization
by: Mussabayev, Ravil, et al.
Published: (2024)

Variable Landscape Search: A Novel Metaheuristic Paradigm for Unlocking Hidden Dimensions in Global Optimization
by: Mussabayev, Rustam, et al.
Published: (2024)

High-Performance Hybrid Algorithm for Minimum Sum-of-Squares Clustering of Infinitely Tall Data
by: Mussabayev, Ravil, et al.
Published: (2023)

Structure-Aware Code Vulnerability Analysis With Graph Neural Networks
by: Mussabayev, Ravil
Published: (2023)

Finetuning Large Language Models for Vulnerability Detection
by: Shestov, Alexey, et al.
Published: (2024)

MLLM-CL: Continual Learning for Multimodal Large Language Models
by: Zhao, Hongbo, et al.
Published: (2025)

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
by: Liu, Shuo, et al.
Published: (2025)

Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models?
by: Karkevandi, Mohammad Bahrami, et al.
Published: (2024)

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
by: Zhang, Jianyi, et al.
Published: (2024)

Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models
by: Wong, Wai Tuck, et al.
Published: (2026)

Unlocking the Power of Large Language Models for Entity Alignment
by: Jiang, Xuhui, et al.
Published: (2024)

Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models
by: Huang, Xijie, et al.
Published: (2024)

LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers
by: Razzhigaev, Anton, et al.
Published: (2025)

Unlocking the Working Memory of Large Language Models for Latent Reasoning
by: Aichberger, Lukas, et al.
Published: (2026)

Unlocking Reasoning Capability on Machine Translation in Large Language Models
by: Rajaee, Sara, et al.
Published: (2026)

Unlocking the Potential: Benchmarking Large Language Models in Water Engineering and Research
by: Xu, Boyan, et al.
Published: (2024)

Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
by: Zhang, Yeqin, et al.
Published: (2025)

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
by: Liu, Zeyu, et al.
Published: (2025)

Unlocking Fine-Grained and Within-Utterance Speaking Style Control in Prompt-Based Text-to-Speech Models
by: Kang, Jaehoon, et al.
Published: (2026)

A Study on Hidden Layer Distillation for Large Language Model Pre-Training
by: Guigon, Maxime, et al.
Published: (2026)

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models
by: Yang, Hao, et al.
Published: (2025)

Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
by: Bei, Yuanchen, et al.
Published: (2026)

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
by: Tu, Lifu, et al.
Published: (2023)

Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models
by: Furuya, Kotaro, et al.
Published: (2026)

Saying the Unsaid: Revealing the Hidden Language of Multimodal Systems Through Telephone Games
by: Zhao, Juntu, et al.
Published: (2025)

Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding
by: Liu, Tianqiao, et al.
Published: (2024)

adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
by: Lankford, Séamus, et al.
Published: (2024)

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training
by: Han, Feijiang, et al.
Published: (2025)

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
by: Huo, Jiahao, et al.
Published: (2025)

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)

Cross-Modal Consistency in Multimodal Large Language Models
by: Zhang, Xiang, et al.
Published: (2024)

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation
by: Chen, Yi-Chia, et al.
Published: (2024)

Unlocking Prompt Infilling Capability for Diffusion Language Models
by: Fujinuma, Yoshinari, et al.
Published: (2026)

Unlocking the Potential of Model Merging for Low-Resource Languages
by: Tao, Mingxu, et al.
Published: (2024)

On Fairness of Unified Multimodal Large Language Model for Image Generation
by: Liu, Ming, et al.
Published: (2025)

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
by: Liu, Zheyuan, et al.
Published: (2024)