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#artificial intelligence Preprint Sep 2026

Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models

EoupCT effectively preserves both task-specific proficiency and inherent general-purpose knowledge, successfully mitigating the catastrophic forgetting, and forms a multi-objective optimization problem and introduces a first-order efficient Pareto optimizer.

Bing Wang, C. Li, Xin-Qiang Cai et al. · 2 citations
#artificial intelligence Preprint Sep 2026

ARM: Attention with Routed-Memory for Learnable Sparse Control

Attention with Routed Memory is proposed a novel KV caching structure that introduces a fully differentiable, fixed-size memory system organized as a hierarchical router that achieves superior performance and efficiency compared to fixed KV-caching approaches, while remaining efficient and scalable in terms of both mem...

Qiu-Hao Zeng, Jerry M. Huang, Peng Lu et al. · 0 citations
#natural language process... Preprint Sep 2026

DenMark: Robust Semantic Watermarking for Diffusion Language Models

DenMark is proposed, a semantic watermarking framework that injects key-dependent signals directly into the DLM denoising process and achieves the best results across all reported detection metrics in all 48 backbone-dataset-attack combinations.

Tian-Hao Ma, Weihao Xuan, Dong-Dong Wu et al. · 1 citation

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