IEEE

A Multi-Source Log Hidden Anomaly Detection Method Integrating Trans-Encoder and LSTM

Abstract: Identifying hidden anomalous behavior is a major challenge in anomaly detection, particularly in complex systems where anomalies are buried within massive log data and cannot be easily ...

Makeblock mBot2 Rover Robotics Kit Features Encoders for Accurate Motor Control

Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...
IEEE

DECodeT5: A Lightweight and Efficient Neural Decompiler with Assembly Semantic Assistance

Abstract: Decompilation plays a critical role in firmware analysis and reverse engineering by enabling the recovery of high-level source code from binary executables. However, existing neural ...
GitHub

State-of-the-art pretrained music models for training, evaluation, inference

No code changes are needed to switch datasets, encoders, or training settings. Reusability: Common routines (data loading, training loop, metrics) are implemented once in BaseTask, LightningDataModule ...
GitHub

LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) training with masked next token prediction, and 3) ...