7 citations · 10 across the 4 of their papers we have counts for
4 papers
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
FunReason-MT Technical Report: Advanced Data Synthesis Solution for Real-world Multi-Turn Tool-use
Zengzhuang Xu, Bingguang Hao, Zechuan Wang +14
Function calling (FC) empowers large language models (LLMs) and autonomous agents to interface with external tools, a critical capability for solving complex, real-world problems.…
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
Yifan Wu, Yang Liu, Yue Yang +10
Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification. The advent of machine learning of…
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
Yang Liu, Shi Gu
The registration of pathological images plays an important role in medical applications. Despite its significance, most researchers in this field primarily focus on the registratio…