- All Posts
- Activities
- AI
- Article
- Committee
- Committee2
- Drone Type
- Highlight Home
- ข่าว
- youzify_media
- Back
- Law Article
- Tech Article
- Course Article
- Activity article
arXiv:2509.24202v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in high-stakes settings, where overconfident responses can mislead...
arXiv:2509.15235v4 Announce Type: replace-cross Abstract: Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs),...
arXiv:2505.21956v3 Announce Type: replace-cross Abstract: Text-to-image generation increasingly demands access to domain-specific, fine-grained, and rapidly evolving knowledge that pretrained models...
arXiv:2509.21155v2 Announce Type: replace Abstract: For an LLM to correctly respond to an instruction it must understand both the semantics...
arXiv:2509.22646v1 Announce Type: cross Abstract: Can humans identify AI-generated (fake) videos and provide grounded reasons? While video generation models have...
arXiv:2509.22158v1 Announce Type: new Abstract: Large language models (LLMs) often seamlessly adapt to new tasks through in-context learning (ICL) or...
arXiv:2509.22461v1 Announce Type: cross Abstract: The ability to reason from audio, including speech, paralinguistic cues, environmental sounds, and music, is...
arXiv:2408.15176v4 Announce Type: replace-cross Abstract: We present a unified framework for automatic multitrack music arrangement that enables a single pre-trained...

Local LLMs matured fast in 2025: open-weight families like Llama 3.1 (128K context length (ctx)), Qwen3 (Apache-2.0, dense + MoE),...



