IEEE

Large Language Model for Verilog Generation with Code-Structure-Guided Reinforcement Learning

Abstract: Recent advancements in large language models (LLMs) have sparked significant interest in the automatic generation of Register Transfer Level (RTL) designs, particularly using Verilog.
FloridaRealtors.org

Case Study: Adding Language to a Form Contract

ORLANDO, Fla. — Buyers and sellers should be careful when adding clauses to their contracts. If that clause lacks precision, one or both sides could suffer. Florida Realtors® purchase and sale ...
Microsoft

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Self-supervised learning in vision-language processing exploits semantic alignment between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the alignment of single image ...
IEEE

Characterizing Secretion System Effector Proteins With Structure-Aware Graph Neural Networks and Pre-Trained Language Models

Abstract: The Type III Secretion Systems (T3SSs) play a pivotal role in host-pathogen interactions by mediating the secretion of type III secretion system effectors (T3SEs) into host cells. These ...