Continuous-Depth Field Theory for Transformer Patching and Mechanistic Interpretability
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When Skills Don't Help: A Negative Result on Procedural Knowledge for Tool-Grounded Agent…
Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understandi…
Grow-Prune-Freeze Networks: Adaptive & Continual Learning Technique for Olfactory Navigat…
Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience
STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Strea…
K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ra…
MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
ASTRO: Adaptive Spatio-Temporal Reinforcement Optimization for GNN Powered Anomly Detecti…
LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wi…
AMEL: Accumulated Message Effects on LLM Judgments
Polynomial Context-Truncation Sensitivity in Autoregressive Language Models: Sequential W…
Knowledge Graph Re-engineering Along the Ontological Continuum (extended version)
SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks?
TinyFormer: Preserving Tiny Objects in YOLO-DETRHybridReal-time Detectors
Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views …
The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential E…
Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data
Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Tri…
SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack
Your Embedding Model is SMARTer Than You Think
VectorArk: Learning Practical Image Vectorization with Rounded Polygon Representation
Temporal Concept Drift in Legal Judgment Prediction: Neural Baselines Across Three Epochs…
Explainable Retinal Imaging for Prediction of Multi-Organ Dysfunction in Type 2 Diabetes
Simulating Human Memory with Language Models
Tiny Brains, Giant Impact: Uncovering the Keystone Neurons of LLM with Just a Few Prompts
The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel L…
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hy…
Cross-Domain Energy-Guided Diffusion Generation for Off-Dynamics Reinforcement Learning