“These findings demonstrate that modern LLMs internalize psychologically grounded trust signals without explicit supervision, offering a representational foundation for designing credible, transparent, and trust-worthy AI systems in the web ecosystem.”

“日報が「作業ログ」や「ないせい（外部要因）」で止まる日は、壁打ち相手がいない日が多い”

“To address these limitations, we propose HyperJoin, a large language model (LLM)-augmented Hypergraph framework for Joinable table discovery.”

“We propose an approach to enhance planning with JEPA world models by shaping their representation space so that the negative goal-conditioned value function for a reaching cost in a given environment is approximated by a distance (or quasi-distance) between state embeddings.”

“How might a hypothetical superintelligence represent a soul to itself?”

“近年、Graph Neural Network（GNN）は推薦・化学・知識グラフなど様々な分野で使われていますが、2020年に DeepMind が提案した MeshGraphNets（MGN） は、その中でも特に”

“I know basics of pruning for deep learning models. However, I don't know how to do it for larger models. Sharing your knowledge and resources will guide me, thanks”

“Both uniform attention and trainable attention architectures implement the same algorithm via topologically and geometrically equivalent representations.”

“The paper proposes a Bidirectional Continuous Compatible Representation (Bi-C2R) framework to continuously update the gallery features extracted by the old model to perform efficient L-ReID in a compatible manner.”

“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.”

“RGTN achieves state-of-the-art compression ratios and runs 4-600$\times$ faster than existing methods.”

“The proposed system consistently outperformed flat multi-class classifiers and pre-trained self-supervised models.”

“The paper proposes a Layer-by-Layer Hierarchical Attention Network (LLHA-Net) to enhance the precision of feature point matching by addressing the issue of outliers.”

“CPR achieves an F1 score of 0.632 under SAP attacks, surpassing Median Smoothing (0.541 F1) by 9.1%.”

“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.”

“ViReLoc plans routes between two given ground images.”

“The paper formulates a unified taxonomy for pre-training paradigms, ranging from single-modality baselines to sophisticated unified frameworks.”

“Our method randomly masks a section of the document and uses a natural language inference (NLI)-based contrastive objective to align it with relevant parts while distancing it from unrelated ones.”

“FIGR improves the base model by 13.12% on AIME 2025 and 11.00% on BeyondAIME, highlighting the effectiveness of figure-guided multimodal reasoning in enhancing the stability and reliability of complex reasoning.”

“”

“The paper introduces evidence tokens for evidence grounding, which emphasize event-level visual semantic capture beyond the focus on timestamp representation.”

“TPI-AI outperforms standalone LightGBM and Bi-LSTM baselines, achieving macro-F1 of 0.9562, 0.9124, 0.8345 on highD and 0.9247, 0.8197, 0.7605 on exiD at T = 1, 2, 3 s, respectively.”

“HyperGRL delivers superior representation quality and generalization across diverse graph structures, achieving average improvements of 1.49%, 0.86%, and 0.74% over the strongest existing methods, respectively.”

“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.”

“Experimental results across six tasks show a 6.84% improvement, validating the effectiveness of CLEAR-HUG.”

“GASeg achieves state-of-the-art performance on four benchmarks, including COCO-Stuff, Cityscapes, and PASCAL, validating our approach of bridging geometry and appearance via topological information.”

“The strongest results arise when priors are combined with content embeddings (AUC~0.815), while content-only models remain above chance but substantially weaker (AUC~0.626).”

“The proposed method, termed Haar-tSVD, exploits a unified tensor singular value decomposition (t-SVD) projection combined with Haar transform to efficiently capture global and local patch correlations.”

“DSC models the weight update as a residual trajectory within a Star-Shaped Domain, employing a Magnitude-Gated Simplex Interpolation to ensure continuity at the identity.”

“Semantic invariance requires a non homeomorphic, discriminative target for example, supervision via labels, cross-instance identification, or multimodal alignment that supplies explicit semantic equivalence.”

“The paper proposes a novel approach called Enhanced Image Representations (EIR) for generating accurate chest X-ray reports.”

“The paper presents an alternating projected gradient descent and minimization algorithm for recovering a low-rank feature matrix in a diffusion-based decentralized and federated fashion.”

“The paper introduces the first specialized dataset for weak signal feature learning, containing 13,158 spectral samples, and proposes a dual-view representation and a PDVFN model.”

“UniReg exhibits robust cross-domain and multi-modal performance comparable to optimization-based methods.”

“Further analysis would require access to the full paper to assess the novelty, performance, and limitations of the proposed approach.”

“LAM3C achieves higher performance than the previous self-supervised methods on indoor semantic and instance segmentation.”

“This is a personal record, and does not guarantee the accuracy or completeness of the information.”

“The paper emphasizes the role of language, code, motion, affordances, and 3D representations in structured and long-horizon decision making for high-level planning.”

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

“Lamps' superior robustness, transferability, and clinical potential when compared to 10 baseline models.”

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

“Achieved state-of-the-art results with 98.38% of tensors quantized to the FP8 format.”

“The key idea is to represent the decomposed 4D scene with the Freetime FeatureGS and design a streaming feature learning strategy to accurately recover it from per-image segmentation maps, eliminating the need for video segmentation.”

“Models trained on different datasets have highly similar representations of small molecules, and machine learning interatomic potentials converge in representation space as they improve in performance, suggesting that foundation models learn a common underlying representation of physical reality.”

“USF-MAE outperformed the DenseNet-169 baseline on all evaluation metrics.”

“The paper establishes the building blocks for classification, regression, and representation learning with the $p$-adics, providing learning models and algorithms.”

“The communication complexity is independent of the target accuracy, which significantly reduces communication cost compared to prior methods.”

“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.”

“CLAdapter achieves state-of-the-art performance across diverse data-limited scientific domains, demonstrating its effectiveness in unleashing the potential of foundation vision models via adaptive transfer.”