“Seq2Seq models are widely used for tasks like machine translation and text summarization, where the input text is transformed into another text.”

“The proposed approach leverages the analytical solution for linear vibration of system's modes so that physical parameters of a system remain easily accessible after the training without the need for a parameter encoder in the model architecture.”

“Variational autoencoders (VAEs) are known as image generation models, but can also be used for 'image correction tasks' such as inpainting and noise removal.”

“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.”

“The framework demonstrates potential for retrievals of atmospheric, cloud and surface variables, providing information that can serve as a prior, initial guess, or surrogate for computationally expensive full-physics inversion methods.”

“The model achieves 25.96 dB PSNR and 0.8375 SSIM on the test set, demonstrating its effectiveness in compressing low-resolution video while maintaining good perceptual quality.”

“Primitives from a one-level DWT decomposition produce encoder representations that approximately compose in latent space.”

“DyStream could generate video within 34 ms per frame, guaranteeing the entire system latency remains under 100 ms. Besides, it achieves state-of-the-art lip-sync quality, with offline and online LipSync Confidence scores of 8.13 and 7.61 on HDTF, respectively.”

“The results show accurate and robust map merging with low error, and the learned features deliver strong performance in both loop closure detection and relative pose estimation.”

“The paper presents an encoder-only transformer built with minimum layers for intrusion detection.”

“The best configuration retains (93.0 +/- 0.2)% of reconstructed signal intensity while discarding (97.8 +/- 0.1)% of the image area, with an inference time of approximately 25 ms per frame on a consumer GPU.”

“MambaSeg achieves state-of-the-art segmentation performance while significantly reducing computational cost.”

“The approach yields significant improvements in both accuracy and efficiency and, crucially, demonstrates strong cross-domain generalization while preserving the interpretability of chain-of-thought reasoning.”

“Targeted interventions on SAE-derived vectors can controllably amplify or suppress specific reasoning behaviors, altering inference trajectories without retraining.”

“sCTs achieved 99% structural similarity and a Frechet inception distance of 1.01 relative to real CTs. Skull segmentation attained an average Dice coefficient of 85% across seven cranial bones, and sutures achieved 80% Dice.”

“The paper demonstrates consistently high attack success rates with minimal perceptual distortion, revealing a critical and previously underexplored attack surface at the encoder level of multimodal systems.”

“Models excel at extracting explicit text, but struggle with deep chemical logic and precise structural recognition.”

“この論文で紹介されたある**「単純すぎるテクニック」**が、当時の研究者たちを驚かせました。”

“The method achieves up to 99.6% safety rate--exceeding full fine-tuning by 7.4 percentage points and approaching RLHF-based methods--while updating only 0.19-0.24% of parameters.”

“TabiBERT attains 77.58 on TabiBench, outperforming BERTurk by 1.62 points and establishing state-of-the-art on five of eight categories.”

“LENS outperforms strong baselines on standard NLP metrics and task-specific measures of symptom-severity accuracy.”

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“SwinTF3D achieves competitive Dice and IoU scores across multiple organs, despite its compact architecture.”

“EgoReAct achieves remarkably higher realism, spatial consistency, and generation efficiency compared with prior methods, while maintaining strict causality during generation.”

“The paper quantifies energy overheads ranging from 17% to 94% across different MLLMs for identical inputs, highlighting the variability in energy consumption.”

“TimePerceiver is a unified encoder-decoder forecasting framework that is tightly aligned with an effective training strategy.”

“Mapping the trajectory of the learnt Gaussians onto the image plane gives zero-shot tracking performance comparable to state-of-the-art.”

“CRC consistently improves accuracy, while an in-depth ablation study confirms that its core safety mechanisms ensure exceptionally high non-degradation rates (NDR), making CRC a correction framework suited for safe and reliable deployment.”

“LD-DIM achieves consistently improved numerical stability and reconstruction accuracy of both parameter fields and corresponding PDE solutions compared with physics-informed neural networks (PINNs) and physics-embedded variational autoencoder (VAE) baselines, while maintaining sharp discontinuities and reducing sensitivity to initialization.”

“The paper introduces a multi-view latent representation learning framework based on variational autoencoders (VAE) to integrate complementary radiomic features derived from post-contrast T1-weighted (T1Gd) and Fluid-Attenuated Inversion Recovery (FLAIR) magnetic resonance imaging (MRI).”

“SLIM-Brain establishes new state-of-the-art performance on diverse tasks, while requiring only 4 thousand pre-training sessions and approximately 30% of GPU memory comparing to traditional voxel-level methods.”

“Models exposed to such warnings reproduced the flagged content at rates statistically indistinguishable from models given the content directly (76.7% vs. 83.3%).”

“BertsWin achieves a 5.8x acceleration in semantic convergence and a 15-fold reduction in training epochs compared to standard ViT-MAE baselines.”

“FUSE (Stage 1) model demonstrates state-of-the-art results on the Chameleon benchmark.”

“The paper demonstrates that only a small fraction of latent features are actively used in each layer, and that the geometric properties of the model's feature manifold vary systematically with different types of deepfake artifacts.”

“Omni-Weather achieves state-of-the-art performance in both weather generation and understanding. Generative and understanding tasks in the weather domain can mutually enhance each other.”

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“Pixio is a self-supervised vision model that extends MAE, and features including patch tokens + class tokens can be easily extracted.”

“Fixed-Budget Parameter-Efficient Training with Frozen Encoders Improves Multimodal Chest X-Ray Classification”

“We found that these models consistently underperformed on concepts that stand in contrast to sycophantic behaviors (e.g., politely refusing a request or asserting boundaries) and concepts connected to safety discussions.”

“demographic bias arises from task-specific mechanisms rather than absolute demographic markers”

“SHRP achieves 93% of the original model accuracy while reducing parameters by 48 percent.”

“Integrating both deep and shallow attributes effectively grasps both local and global patterns.”

“Conceptually I understand neural networks, back propagation, etc, but I have ZERO experience with Keras, PyTorch, and TensorFlow. And when I read code samples, it seems vastly different than any modeling pipeline based in scikit-learn.”

“The article's context provides the source as ArXiv.”

“The study focuses on using Diffusion MRI data for ischemic stroke lesion segmentation.”

“Ferroelectric FET-based Logic-in-Memory Encoder for Hyperdimensional Computing”

“The release contains SAEs trained on 3 different sites (residual stream, MLP output and attention output) as well as MLP transcoders (both with and without affine skip connections), for every layer of each of the 10 models in the Gemma 3 family (i.e. sizes 270m, 1b, 4b, 12b and 27b, both the PT and IT versions of each).”

“The model learns aligned audio, video, and text representations in a single embedding space using large scale contrastive training on about 100M audio video pairs with text captions.”

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