Spatial-Temporal Bearing Fault Detection Using Graph Attention Networks and LSTMby Moirangthem Tiken Singh, Rabinder Kumar…
SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environmentsby…
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box Predictionby Pranav Gupta, Rishabh Rengarajan, Viren…
Continuous Approximations for Improving Quantization Aware Training of LLMsby He Li, Jianhang Hong, Yuanzhuo Wu,…
Artificial Intelligence-Based Triaging of Cutaneous Melanocytic Lesionsby Ruben T. Lucassen, Nikolas Stathonikos, Gerben E. Breimer,…
Gradient-Free Neural Network Training on the Edgeby Dotan Di Castro, Omkar Joglekar, Shir Kozlovsky, Vladimir…
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive…
Transformers Provably Solve Parity Efficiently with Chain of Thoughtby Juno Kim, Taiji SuzukiFirst submitted to…
QEFT: Quantization for Efficient Fine-Tuning of LLMsby Changhun Lee, Jun-gyu Jin, Younghyun Cho, Eunhyeok ParkFirst…
Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approachby Duraimurugan RajamanickamFirst…