…A multilingual version has been trained from the base https://huggingface.co/answerdotai/ModernBERT-base/discussions/60 , but it may not target your intended language. Well done! Just sharing PangolinGuard , a fine…
…Moreover, we scale training to billions of images and incorporate a synthetic rendering engine to improve performance in text-rich scenarios. To tackle the convergence challenges of high-dimensional latent space, we…
…Travis Lelle Abstract LoRA adapters can be backdoored through training data poisoning while maintaining performance, with the backdoor activating at token feature level and being detectable through behavioral and weight-level statistics…
…It further adopts a progressive post-training recipe based on curated data selection and reinforcement learning , pushing model performance to a higher level through staged optimization. PaddleOCR-VL-1.6 achieves a…
…Experiments demonstrate that fine-tuned Qwen3-VL-8B-Instruct achieves robust performance, significantly outperforming text-based baselines in scenarios requiring visual layout understanding, while establishing a retriever-agnostic solution for pixel-level…
…Second, we introduce intra-ViT early compression, which reduces tokens in shallow ViT layers and substantially lowers visual-encoding FLOPs while preserving downstream performance. By integrating intra-ViT compression into the slice…
…Extensive experiments across mainstream LDM architectures show that L2P incurs negligible training overhead, yet performs on par with the source LDM on DPG-Bench and reaches 93% performance on GenEval . View arXiv…
…Existing coordination approaches either perform coupling during training, without explicit inference-time coordination, or impose a fixed coordination pattern for all inputs. In this work, we show that multimodal tasks exhibit substantial…
…Udbhav Bamba , , , , Abstract DOT-MoE formulates dense layer decomposition as a differentiable optimal transport problem, enabling efficient training of sparse MoE models with improved performance retention. Generated by Qwen/Qwen2.5-Coder…
…It unifies multiple open-source corpora into a single, ready-to-use resource for piano performance modeling. 🎼 250,046 performances (21k+ hours) covering 5,625 pieces by 483 composers 🔗 157,207 performances…