5 citations · 6 across the 4 of their papers we have counts for
4 papers
BlueLM-2.5-3B Technical Report
Baojiao Xiong, Boheng Chen, Chengzhi Wang +58
We present BlueLM-2.5-3B, a compact and unified dense Multimodal Large Language Model (MLLM) designed for efficient edge-device deployment, offering strong general-purpose and reas…
DPBERT: Efficient Inference for BERT based on Dynamic Planning
Weixin Wu, Hankz Hankui Zhuo
Large-scale pre-trained language models such as BERT have contributed significantly to the development of NLP. However, those models require large computational resources, making i…
High-resolution global irrigation prediction with Sentinel-2 30m data
Weixin, Wu, Sonal Thakkar +3
An accurate and precise understanding of global irrigation usage is crucial for a variety of climate science efforts. Irrigation is highly energy-intensive, and as population growt…
Locally Adaptive Learning Loss for Semantic Image Segmentation
Jinjiang Guo, Pengyuan Ren, Aiguo Gu +2
We propose a novel locally adaptive learning estimator for enhancing the inter- and intra- discriminative capabilities of Deep Neural Networks, which can be used as improved loss l…