“The provided text doesn't contain any direct quotes.”

“Every act of language generation compresses a rich internal state into a single token sequence.”

“It doesn't just retrieve chunks; it compresses relevant information into "Memory Tokens" in the latent space.”

“The key methodological innovation is that orthogonal complement projections completely eliminate cross-modal interference when estimating each loading space.”

“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.”

“LSRE attains semantic risk detection accuracy comparable to a large VLM baseline, while providing substantially earlier hazard anticipation and maintaining low computational latency.”

“The method first isolates pervasive latent effects by decomposing the observed precision matrix into a structured component and a low-rank component.”

“The method achieves improved performance over state-of-the-art reconstruction methods, without task-specific supervised training or fine-tuning.”

“Youtu-LLM sets a new state-of-the-art for sub-2B LLMs...demonstrating that lightweight models can possess strong intrinsic agentic capabilities.”

“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.”

“The article highlights that 'compliance' and 'hallucinations' are not simply rule violations, but rather 'semantic resonance phenomena' that distort the model's latent space, even bypassing System Instructions. Phase 1 aims to counteract this by implementing consistency as 'physical constraints' on the computational process.”

“HOLOGRAPH provides rigorous mathematical foundations while achieving competitive performance on causal discovery tasks.”

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

“Any proper species sampling process can be written, at the prior level, as a finite mixture with a latent truncation variable and reweighted atoms, while preserving its distributional features exactly.”

“The paper proposes a method that trains a neural network to predict the minimum distance between the robot and obstacles using latent vectors as inputs. The learned distance gradient is then used to calculate the direction of movement in the latent space to move the robot away from obstacles.”

“The paper investigates the maximum misclassification rate that a valid two-stage framework can tolerate and proposes a spectral method to achieve the desired misclassification rate.”

“Latent autoregression induces latent trajectories that are significantly more compatible with the Gaussian-process prior and exhibit greater long-horizon stability.”

“The paper argues that the optimal substrate for motion planning is not natural language, but a learned, motion-aligned concept space.”

“CVC rethinks the role of velocity in inter-distribution transformation by introducing a dual-perspective velocity conversion mechanism.”

“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.”

“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.”

“WWMs separate code-defined rules from model-driven imagination, represent latent state as typed web interfaces, and utilize deterministic generation to achieve unlimited but structured exploration.”

“The PMTC model simultaneously leverages a characteristics tensor and a return matrix to identify latent asset groups.”

“MoLaCE addresses confirmation bias by mixing experts instantiated as different activation strengths over latent concepts that shape model responses.”

“The model was able to successfully identify the uncertain regions in the simulated data and match the magnitude of the uncertainty. In real-case scenarios, the optimised model was not overconfident nor underconfident when estimating from test data: for example, for a 95% prediction interval, 95% of the true observations were inside the prediction interval.”

“DriveLaW not only advances video prediction significantly, surpassing best-performing work by 33.3% in FID and 1.8% in FVD, but also achieves a new record on the NAVSIM planning benchmark.”

“LatentNN reduces attenuation bias across a range of signal-to-noise ratios where standard neural networks show large bias.”

“ColaVLA achieves state-of-the-art performance in both open-loop and closed-loop settings with favorable efficiency and robustness.”

“Existing methods achieve strong erasure performance against text prompts but largely fail under learned embeddings and inverted latents, with Concept Reproduction Rate (CRR) exceeding 90% in the white-box setting.”

“KANO provides a transparent and structured representation of the latent degradation fitting process.”

“The method achieves superior reconstruction quality and faster processing compared to other algorithms.”

“Both quantum models produced samples with lower average minimum distances to the true distribution compared to the LSTM, with the QCBM achieving the most favorable metrics.”

“"but why are we not seeing any models? is it really that difficult? or is it purely because tokens are more interpretable?"”

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

“The proposed framework maintains robust detection performance under concept drift.”

“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 develops a tractable inferential framework that avoids label enumeration and direct simulation of the latent state, exploiting a duality between the diffusion and a pure-death process on partitions.”

“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).”

“COCONUT consistently exploits dataset artifacts, inflating benchmark performance without true reasoning.”

“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.”

“Training-Free Disentangled Text-Guided Image Editing via Sparse Latent Constraints”

“Residual Prior Diffusion is a probabilistic framework integrating coarse latent priors with Diffusion Models.”

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“The article focuses on the identifiability issue within NMF, PLSA, LBA, EMA, and LCA models.”

“Diffusion models have recently emerged as powerful learners for simulation-based inference (SBI), enabling fast and accurate estimation of latent parameters from simulated and real data.”

“Together, these mechanisms allow agents to develop stable and disentangled strategic styles over long-horizon multi-round interactions.”

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“The paper uses a Latent Diffusion Model for thermal face image translation.”

“Our goal is to apply clustering over each class individually, which can allow to discover pseudo-labels that encodes a latent degree of similarity between images.”