Consilience for Verifier-Free Test-Time Scaling
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Towards Expert-level Medical AI for Real-time Video Consultations
Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Po…
ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Dete…
Structured Phonological Representations for Audio-Articulatory rtMRI Speech Classification
How Do Large Language Models Judge Social Attraction? Evidence from Theory-Grounded Perso…
Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discove…
Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training
CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face A…
Hallucination-Free GUI Grounding via Regression-Free Layout-Aware Matching
Predictive safety filter enhanced curriculum learning control for efficient vehicle dynam…
DUET: A Diversity-Quality Duet of Distillation Experts for Two-Step Video Generation
Structure-Enhanced Features and Quality-Aware Dynamic Anchor Scoring for Robust Lane Dete…
Illusion or Integrity? Geometrical Consistency Metric for AIGC Video Quality Evaluation
You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis …
Towards Collaborative Joint Perception and Prediction: Framework, Baseline Evaluation, an…
TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Resea…
TriView-YOLO: Early Multi-View Fusion for Ground Penetrating Radar Cavity Detection in So…
XFeat Revisited: Reproducibility and Evaluation of a Lightweight Image Matcher
Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verif…
GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction
RecoverFly: A Failure-Aware Reinforcement Learning Post-Training Framework for Aerial Vis…
Listen, See and Track: Spatio-Temporal Audio-Visual Sound Event Reasoning for Omni-Modal …
Peer review is overwhelmed—can it survive in the AI era?
One Model to Magnify Them All: Efficient Scale-Invariant Histopathology via Conditional N…
From Objectives to What Models Learn: A Landau Theory of Invariant Learning
CoInS-Net: A Continuous Position-Aware Network for Joint Medical Image Interpolation and …
Imaginative Generative AI: Crossing the Entropy Wall into Worlds Beyond Imitation
Making Knowledge Distillation Cheap Enough to Run at Scale
Preserve More Details: Mitigating Content Drift in Real-World Image Super-Resolution