New DCG‑Bench Sets Standard for AI‑Generated Dynamic Charts

DCG‑Bench evaluates animated chart generation with the DCG‑8K dataset, and the open‑source Qwen2.5‑VL‑DCG‑3B model (3 B parameters) achieves an 8.31 % average gain across three tasks. getnews.me/new-dcg-bench-sets-stand... #dcgbench #qwen2vl

Sparsity Forcing Boosts Token Efficiency in Multimodal LLMs

Sparsity Forcing lets Qwen2‑VL and Qwen2.5‑VL discard up to 75% of input tokens, cutting memory three‑fold and boosting decoding speed to 3.3× while preserving answer quality. Read more: getnews.me/sparsity-forcing-boosts-... #sparsityforcing #qwen2vl

VLM3D Enhances Text-to-3D Generation with Vision-Language Rewards

VLM3D integrates the Qwen2.5‑VL vision‑language model as a differentiable reward, improving semantic fidelity and spatial correctness on the GPTeval3D benchmark. Read more: getnews.me/vlm3d-enhances-text-to-3... #vlm3d #qwen2vl

Alibaba's Qwen-2 VL: A New Chapter In AI Language Models Alibaba introduces Qwen-2 VL, a groundbreaking AI language model designed to push the limits of natural language understanding and generation.

The AI race is heating up, and Alibaba has just thrown a game-changer into the mix. #AIAdvancements #AIlanguagemodels #AImodelinnovations #AlibabaAI #AlibabaQwen2 #NaturalLanguageProcessing #NLP #Qwen2languagemodel #Qwen2VL
aicompetence.org/alibabas-qwe...

GitHub - QwenLM/Qwen2-VL: Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud. Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud. - QwenLM/Qwen2-VL

🚀 #Qwen2VL released! 🎉

🖼️ #SOTA #image understanding
🎬 20min+ #video comprehension
📱 #Agent for #mobile & #robot operation
🌍 #Multilingual support expanded

#ai #llm #alibaba #qwen

github.com/QwenLM/Qwen2...