…Existing methods improve text fidelity with stronger recognition-based or generative priors, yet they still face two unresolved challenges under severe degradation: the text condition extracted from low-quality inputs can itself…
…v1 scheduler – Implements the same scheduling logic as vLLM v1. ✅ Chunked Prefill – Improves prefill efficiency for longer contexts. ✅ Clean codebase – The simplest way to reproduce vLLM v1 scheduler and implement Chunked Prefill…
…Our code is available at https://github.com/ContinuumCoder/Hodge-Spectral-Duality View arXiv page View PDF GitHub 2 Add to collection Community In this paper, we study solution operators of physical…
…Bilevel Optimization for Dilution-Aware Long-Context Fine-Tuning Published on May 11 Submitted by JarvisPei on May 13 Authors: , , , , , Abstract Training framework FocuSFT improves long-context language model performance by addressing…
…Our code is available at https://github.com/dmksjfl/DR.Q. View arXiv page View PDF GitHub 10 Add to collection Community ICML2026 Get this paper in your agent: hf papers read…
…We release FastKernels as a stepping stone toward kernel agents whose benchmark gains translate directly into production throughput improvements. Code is available at https://github.com/Snowflake-AI-Research/ fastkernels View arXiv…
…Evaluated on LLaDA-8B and Dream-7B, this approach yields strict accuracy improvements across mathematical reasoning and code synthesis, including a +4.4 exact match increase on Big-Bench Hard. Get this…
…Extensive experiments demonstrate that Delta-Adapter consistently improves both editing accuracy and content consistency over four strong baselines on seen editing tasks, while also generalizing more effectively to unseen editing tasks. Code…
…Authors: , , , Abstract Sigmoid attention improves biological foundation model training by providing better representations, faster convergence, and enhanced stability compared to softmax attention through bounded derivatives and diagonal Jacobian structure. AI-generated summary…
…Second, we propose a continuous-time alignment objective that performs active off-trajectory matching on latents extrapolated via the student's velocity field , improving generalization and preserving fine visual details. Extensive experiments…