Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.

Ai2 releases Bolmo, a new byte-level language model the company hopes would encourage more enterprises to use byte level ...

Abstract: Auto-encoder has been widely used in video anomaly detection which aims to detect abnormal segments in video surveillance. However, the previous auto-encoder methods preferred to reconstruct ...

Based on the previous works, this Review found two increasing trends: (1) Transformers and graph neural networks are often integrated as encoders and then combined with multiple pre-training tasks to ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

Hi, thanks for sharing this great work! I noticed that there are two versions of the checkpoints provided: dinov3 and vitl. Could you please clarify whether the image encoder (e.g., DINOv3 or ViT-L) ...

Hi, thanks for the great work on this project! I would like to ask whether VERL currently supports customizing or extending the LLM architecture during training. For example, if I want to add a point ...

Abstract: Person Re-identification (Re-ID) aims at accurately querying pedestrians across multiple non-overlapping cameras system, playing an essential role in computer vision applications. While ...