11 articles mentioning Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF
arXiv:2608.28846v2 Announce Type: replace-cross Abstract: Layer-skipping methods for efficient LLM inference decide, at some granularity, which transformer layers to execute for a given input. We present a rigor-matched, three-seed audit of two periodic-step, search-based methods that make this deci
arXiv:2609.06651v1 Announce Type: cross Abstract: Diffusion models have general generative abilities but struggle to align with specific objectives. Fine-tuning can improve alignment, yet its training cost is often prohibitive. This led to training-free methods that apply objective-guided terms in s
arXiv:2607.09741v1 Announce Type: cross Abstract: Accurate trajectory prediction in autonomous driving hinges on modeling dynamic and context-dependent interactions among traffic agents. However, most existing approaches are purely data-driven and lack structural priors, which limits their generaliz
arXiv:2605.09442v1 Announce Type: cross Abstract: Streaming long-video generation faces a central challenge in continuous semantic switching, requiring adaptive memory to preserve coherent visual evolution. Current approaches rely on cache rebuilding at prompt boundaries or fixed memory budgets, but
Scammers are using AI-generated videos of celebrities including Taylor Swift and Rihanna to promote shady services on TikTok, according to authentication company Copyleaks. The ads typically show celebrities in interview settings, such as red carpets, podcasts, or talk shows, and often manipulate re
Taylor Swift has been at the center of AI imitation controversies for years, and now, she's become the latest celebrity who's escalating attempts to protect herself from AI copycats. As usual, however, the legal system intersects with technology in complicated ways - and Swift's efforts may be a lon
arXiv:2604.01609v1 Announce Type: new Abstract: The deployment of Large Language Models is constrained by the memory and bandwidth demands of static weights and dynamic Key-Value cache. SVD-based compression provides a hardware-friendly solution to reduce these costs. However, existing methods suffe