Towards Generalizable Deepfake Image Detection with Vision Transformers
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Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distr…
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecas…
CoopEval: Benchmarking Cooperation-Sustaining Mechanisms and LLM Agents in Social Dilemmas
SeaAlert: Robust Severity Classification and LLM-Based Information Extraction for Noisy M…
Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Acros…
AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection
Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucinat…
Streaming Model Cascades for Semantic SQL
Beyond Task Completion: A Verification-vs.-Conformance Gap in Tool-Evolving Agents
Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through St…
SutureFormer: Learning Surgical Trajectories via Goal-conditioned Offline RL in Pixel Spa…
MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under …
Towards Reliable Local Security Agents: Verifiable Post-Training for Linux Privilege Esca…
CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
Na\"ive PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation
A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Qua…
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challe…
When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Vir…
LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation
Efficient Flow Matching for Sparse-View CT Reconstruction
OSF: On Pre-training and Scaling of Sleep Foundation Models
Causal Mechanism Reduction: Mechanism Replacement for Neural Network Pruning and Abstract…
Data Driven Optimization of GPU efficiency for Distributed LLM-Adapter Serving
Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Fee…
SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Gener…
NextCrystal: a Symmetry-Driven Generative Framework for Crystal Structure Prediction
Learning to Discover Iterative Spectral Algorithms