Cs-Lg
Layer of Truth: Probing Belief Shifts under Continual Pre-Training Poisoning
MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics
On topological descriptors for graph products
Context-Free Recognition with Transformers
Deep learning methods for inverse problems using connections between proximal operators and Hamilton-Jacobi equations
FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition
SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization
Credit Risk Estimation with Non-Financial Features: Evidence from a Synthetic Istanbul Dataset
Quantifying the Effect of Test Set Contamination on Generative Evaluations
Universal consistency of the $k$-NN rule in metric spaces and Nagata dimension. III
A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator
Deconfounded Time Series Forecasting: A Causal Inference Approach
Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detection
Adaptive Protein Tokenization
Uniform Spectral Growth and Convergence of Muon in LoRA-Style Matrix Factorization
Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach
HyQuRP: Hybrid quantum-classical neural network with rotational and permutational equivariance for 3D point clouds
On the Plasticity and Stability for Post-Training Large Language Models
BrokenBind: Universal Modality Exploration beyond Dataset Boundaries
Reclaiming First Principles: A Differentiable Framework for Conceptual Hydrologic Models
CORE: Comprehensive Ontological Relation Evaluation for Large Language Models
EEG Emotion Classification Using an Enhanced Transformer-CNN-BiLSTM Architecture with Dual Attention Mechanisms
