Stable diffusion models reveal a persisting human and AI gap in visual creativity
arXiv:2511.16814v1 Announce Type: new Abstract: While recent research suggests Large Language Models match human creative performance in divergent thinking tasks,…
WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue
arXiv:2511.16544v2 Announce Type: replace-cross Abstract: As Automatic Speech Recognition (ASR) is increasingly deployed in clinical dialogue, standard evaluations still rely…
Preventing Shortcut Learning in Medical Image Analysis through Intermediate Layer Knowledge Distillation from Specialist Teachers
arXiv:2511.17421v1 Announce Type: cross Abstract: Deep learning models are prone to learning shortcut solutions to problems using spuriously correlated yet…
DS-Span: Single-Phase Discriminative Subgraph Mining for Efficient Graph Embeddings
arXiv:2511.17419v1 Announce Type: cross Abstract: Graph representation learning seeks to transform complex, high-dimensional graph structures into compact vector spaces that…
VLA-Pruner: Temporal-Aware Dual-Level Visual Token Pruning for Efficient Vision-Language-Action Inference
arXiv:2511.16449v2 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models have shown great promise for embodied AI, yet the heavy computational cost…
The Illusion of Procedural Reasoning: Measuring Long-Horizon FSM Execution in LLMs
arXiv:2511.14777v1 Announce Type: new Abstract: Large language models (LLMs) have achieved remarkable results on tasks framed as reasoning problems, yet…
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
arXiv:2511.14715v2 Announce Type: replace-cross Abstract: Federated learning (FL) enables collaborative model training while preserving data privacy. However, it remains vulnerable…