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

16 citations · 18 across the 9 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Guiding Perception-Reasoning Closer to Human in Blind Image Quality Assessment

Yuan Li, Yahan Yu, Youyuan Lin +3

Humans assess image quality through a perception-reasoning cascade, integrating sensory cues with implicit reasoning to form self-consistent judgments. In this work, we investigate…

cs.CL2025

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph

Duzhen Zhang, Zixiao Wang, Zhong-Zhi Li +10

The rapid expansion of medical literature challenges the scalable structuring of domain knowledge. Knowledge Graphs (KGs) offer a solution, yet current construction methods lack ge…

cs.CL2025★ 1 cited

SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models

Zhen Wan, Chao-Han Huck Yang, Yahan Yu +8

We introduce Speech-based Intelligence Quotient (SIQ) as a new form of human cognition-inspired evaluation pipeline for voice understanding large language models, LLM Voice, design…

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.CL2025

When Large Language Models Meet Speech: A Survey on Integration Approaches

Zhengdong Yang, Shuichiro Shimizu, Yahan Yu +1

Recent advancements in large language models (LLMs) have spurred interest in expanding their application beyond text-based tasks. A large number of studies have explored integratin…