#transformer
Transformer: 8 AI articles covering transformer news, analysis, and research
Articles
Large Models for Battery Prognostics and Health Management: A⭐9
A review of large models for battery prognostics and health management, covering key challenges, methods, and a future roadmap.
EduRiskX: A Neuro-Symbolic Framework with F-Logic Reasoning for⭐9
EduRiskX combines temporal Transformers with F-Logic reasoning to predict academic risk early, boosting detection rates and interpretability in online learning.
SceneGTMM: A Conformal Mapping-based Scene-Aware Transferable⭐7
SceneGTMM introduces a conformal mapping-based GNN-Transformer framework for transferable map matching, improving accuracy by 5.3% over HMM methods in noisy, cr...
Transformer Models for Text Summarization: A Comparative Study⭐9
Compare BERT, RoBERTa, and BART for extractive and abstractive text summarization, analyzing architectures and pretraining strategies.
Sensitivity Analysis of GRU, LSTM, and Transformer Encoder for⭐7
Compare GRU, LSTM, and Transformer encoders for classifying Level 2 automated driving systems, with robustness analysis under telematics data corruption.
DiScoFormer: One Transformer for Density and Score, Across⭐9
The DiScoFormer Transformer unifies density estimation and score functions across arbitrary distributions, enabling single-model generative AI without retrainin...
A Deep Reinforcement Learning (DRL)-Based Transformer Method for⭐7
A Transformer model trained on small OSSP instances generalizes to 100x100 problems, rivaling heuristics with 12-15% optimality gaps.
Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision⭐7
Zyphra launches Zamba2-VL, hybrid Mamba2-Transformer VLMs that cut time-to-first-token by 10x for faster real-time vision-language tasks.