“We introduce the Ministral 3 series, a family of parameter-efficient dense language models designed for compute and memory constrained applications...”

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“DMSAEs run an iterative distillation cycle: train a Matryoshka SAE with a shared core, use gradient X activation to measure each feature's contribution to next-token loss in the most nested reconstruction, and keep only the smallest subset that explains a fixed fraction of the attribution.”

“SeedFold outperforms AlphaFold3 on most protein-related tasks.”

“The study finds that the gluon helicity contribution to proton spin is $ΔG = 0.231(17)^{\mathrm{sta.}}(33)^{\mathrm{sym.}}$ at the $\overline{\mathrm{MS}}$ scale $μ^2=10\ \mathrm{GeV}^2$, which constitutes approximately $46(7)\%$ of the proton spin.”

“BSD consistently yields higher test accuracy (e.g. +1.4% for ResNet-50 on CIFAR-100) and significantly lower Expected Calibration Error (ECE) (-40% ResNet-50, CIFAR-100) than existing architecture-preserving self-distillation methods.”

“The Transformer achieved the highest predictive accuracy with an R^2 of 0.9696.”

“The paper's core finding is that every circuit-level Pauli error in these protocols propagates to a Clifford error at the end, enabling efficient simulation.”

“The distilled model matches the visual quality of full-step, bidirectional baselines with 20x less inference cost and latency.”

“The classification head can be compressed by even huge factors of 16 with negligible performance degradation.”

“SoulX-LiveTalk is the first 14B-scale system to achieve a sub-second start-up latency (0.87s) while reaching a real-time throughput of 32 FPS.”

“Uniqueness of the solution is established in two cases - the one-dimensional setting and the Gaussian case.”

“The article highlights the emergence of new AI-related terms in 2025.”

“YOLO-IOD achieves superior performance with minimal forgetting.”

“The skill of our distilled models scales with increasing synthetic training data, even when that data is orders of magnitude larger than ERA5. This represents the first demonstration that AI-generated synthetic training data can be used to scale long-range forecast skill.”

“The RL driven approach dynamically guides the student to explore multiple denoising paths, allowing it to take longer, optimized steps toward high-probability regions of the data distribution, rather than relying on incremental refinements.”

“Experiments demonstrate that with minimal annotations, our paradigm enables downstream models to achieve performance comparable to, or even surpassing, their fully supervised counterparts.”

“Self-E is the first from-scratch, any-step text-to-image model, offering a unified framework for efficient and scalable generation.”

“The framework comprises three core components: (1) a long-video generation framework integrating unified context compression with linear attention; (2) a real-time streaming acceleration strategy powered by bidirectional attention distillation and an enhanced text embedding scheme; (3) a text-controlled method for generating world events.”

“The paper focuses on secure and explainable fraud detection.”

“SCL-PNC induces the convergence of the incremental expansion model through a structured combination of the expandable backbone, adapt-layer, and the parametric ETF classifier.”

“The paper focuses on vision-language model distillation.”

“The paper focuses on model merging via multi-teacher knowledge distillation.”

“The paper focuses on improving both accuracy and explainability in the context of medical image analysis.”

“The article is sourced from ArXiv, indicating it's a research paper.”

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“The research focuses on KL-guided layer selection.”

“The article's context suggests the research focuses on applying deep learning to smart agriculture.”

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“The paper focuses on distillation of vision-language models.”

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“The paper likely details the methodology, experimental setup, results, and comparison with existing methods.”

“The paper likely details the specific tools used, the architecture of the hybrid ensemble, and the distillation process. It would also likely present experimental results demonstrating the performance of the proposed method compared to existing baselines.”

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“The paper likely describes a method for generating training data.”

“The article likely explores how to improve the performance of Text-to-SQL models by leveraging knowledge from a larger model and guiding the reasoning process.”

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“The research is sourced from ArXiv.”

“The paper presents a method called IMKD (Intensity-Aware Multi-Level Knowledge Distillation) for camera-radar fusion.”

“Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision”

“The article is from ArXiv, indicating it's a pre-print or research paper.”

“KD360-VoxelBEV utilizes LiDAR and 360-degree camera data.”

“The research focuses on continual learning beyond Sparse Distributed Memory.”

“TrajSyn enables privacy-preserving dataset distillation.”

“The paper focuses on cross-tokenizer likelihood scoring algorithms for language model distillation.”

“The article is from ArXiv, indicating it's a pre-print or research paper.”

“The paper focuses on unsupervised video instance segmentation.”

“The research focuses on generating 4D human-object interactions.”

“We provide a simple derivation — based on Bayes’ rule and conditional expectations — that unifies Gaussian diffusion and flow matching without relying on ODE/SDE…”