Deep Learning
AutoPSV: Automated Process-Supervised Verifier
PSV) to enhance the reasoning capabilities of large language models (LLMs) by automatically annotating the reasoning steps.
DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting Xiaodi Li1, 2, Zongxin Y ang
Due to the limited matting datasets, traditional methods usually struggle to produce high-quality estimation.To address this,
A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration
It has been adapted for sequence-to-sequence text generation (Seq2Seq) through DiffuSeq, termed the S2S-Diffusion model.
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Graph Neural Networks (GNNs) are non-Euclidean deep learning models for graph-structured data.
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering Yizhen Luo
Studying protein mutations within amino acid sequences holds tremendous significance in life sciences.
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
Hongzhan Lin and Ang Lv proposed the idea of MoICE.