activity
20232026
most citedA Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks

19 citations · 33 across the 2 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Learning Physiology-Informed Vocal Spectrotemporal Representations for Speech Emotion Recognition

Xu Zhang, Longbing Cao, Runze Yang +1

Speech emotion recognition (SER) is essential for humanoid robot tasks such as social robotic interactions and robotic psychological diagnosis, where interpretable and efficient mo…

cs.CL2025

Self-Filtered Distillation with LLMs-generated Trust Indicators for Reliable Patent Classification

Yongmin Yoo, Xu Zhang, Longbing Cao

Organizing large-scale patent corpora according to classification schemes is a core information management task that determines the accuracy and efficiency of prior art retrieval,…

cs.AI202419 cited

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks

Jiaqi Wang, Hanqi Jiang, Yiheng Liu +21

In an era defined by the explosive growth of data and rapid technological advancements, Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence (…

cs.CL202414 cited

Understanding LLMs: A Comprehensive Overview from Training to Inference

Yiheng Liu, Hao He, Tianle Han +18

The introduction of ChatGPT has led to a significant increase in the utilization of Large Language Models (LLMs) for addressing downstream tasks. There's an increasing focus on cos…

eess.IV2023

Holistic Evaluation of GPT-4V for Biomedical Imaging

Zhengliang Liu, Hanqi Jiang, Tianyang Zhong +47

In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial gener…