2 citations · 2 across the 4 of their papers we have counts for
5 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…
See the Forest and the Trees: A Synergistic Reasoning Framework for Knowledge-Based Visual Question Answering
Junjie Wang, Yunhan Tang, Yijie Wang +4
Multimodal Large Language Models (MLLMs) have pushed the frontiers of Knowledge-Based Visual Question Answering (KBVQA), yet their reasoning is fundamentally bottlenecked by a reli…
SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot
Kaiwen Tuo, Huan Wang
State-space language models such as Mamba match Transformer quality while permitting linear complexity inference, yet still comprise billions of parameters that hinder deployment.…
FreeBlend: Advancing Concept Blending with Staged Feedback-Driven Interpolation Diffusion
Yufan Zhou, Haoyu Shen, Huan Wang
Concept blending is a promising yet underexplored area in generative models. While recent approaches, such as embedding mixing and latent modification based on structural sketches,…
Dynamic Token Reduction during Generation for Vision Language Models
Xiaoyu Liang, Chaofeng Guan, Jiaying Lu +3
Vision-Language Models (VLMs) have achieved notable success in multimodal tasks but face practical limitations due to the quadratic complexity of decoder attention mechanisms and a…