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- Xinchao WangSuggested from co-authorship
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Works12 from public data
- DeepCache: Accelerating Diffusion Models for Free464
DeepCache capitalizes on the inherent temporal redundancy observed in the sequential denoising steps of diffusion models, which caches and retrieves features across adjacent denoising stages, thereby curtailing redundant computations.
- Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding107
Dimple is proposed, the first Discrete Diffusion Multimodal Large Language Model (DMLLM), which validates the feasibility and advantages of DMLLM and enhances its inference efficiency and controllability.
- SparseD: Sparse Attention for Diffusion Language Models19
Experimental results demonstrate that SparseD achieves lossless acceleration, delivering up to $1.50\times over FlashAttention at a 64k context length with 1,024 denoising steps, and establish SparseD as a practical and efficient solution for deploying DLMs in long-context applications.
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- Invisible Safety Threat: Malicious Finetuning for LLM via Steganography4
This paper finetuned the model to understand and apply a steganographic technique, and produces steganographic malicious outputs in response to hidden malicious prompts, while the user interface displays only a fully benign cover interaction.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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