arXiv:2609.22293v1 Announce Type: cross Abstract: Vision-language models (VLMs) and vision-language-action models (VLAs) are increasingly deployed in…
Category: AI
Visual Graph Reasoning via Knowledge Compilation
arXiv:2609.22327v1 Announce Type: cross Abstract: Visual graph reasoning requires answering graph-theoretic questions directly from graph images, where…
Introducing MentalHealthBench
MentalHealthBench is an expert-informed benchmark for evaluating helpful and safe AI responses across realistic mental health conversations.
On The Robustness-Resolution Tradeoff In Temporal Quantization Of Event Streams
arXiv:2609.22295v2 Announce Type: cross Abstract: Event pipelines often discretize asynchronous timestamps before learning. This step looks harmless, but…
Rethinking Streaming Video Diffusion Model: Context, Execution, and Training
arXiv:2609.22283v1 Announce Type: cross Abstract: Understanding the design space of streaming video diffusion is essential to exploring its potential for…
ORDER: A Fictitious-World Benchmark for Domain-Adaptive Embodied AI
arXiv:2609.22285v1 Announce Type: cross Abstract: Adapting language models to new domains via continual pre-training raises a basic evaluation problem: if…
Complementary rPPG-Derived and Lip-Region Frequency Cues for Talking-Face Deepfake Detection
arXiv:2609.22284v1 Announce Type: cross Abstract: Talking-face (TF) deepfakes are detected unevenly by rPPG-based methods across generators. We study two…
Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening
arXiv:2609.22281v1 Announce Type: cross Abstract: Foundation models have recently demonstrated strong capabilities across a wide range of medical imaging…
Enveda secures $311M to bring more nature-derived AI drugs into clinical trials
The round valued the AI biotech at $2 billion. It is currently testing drugs that treat skin conditions and preserve weight loss after stopping GLP-1s.
Brain-to-Image Generation: Reconstructing Visual Stimuli from EEG using Generative Adversarial Networks
arXiv:2609.22282v1 Announce Type: cross Abstract: Reconstructing visual stimuli from electroencephalography (EEG) is difficult because scalp measurements…