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Object removal models have improved faster than the metrics used to judge them. Diffusion erasers now reconstruct shadows, reflections and occluded structure convincingly, yet PSNR, SSIM,…
OpenAI’s cyberattack on Hugging Face turns out to have been the result of many agents, in distinct training and evaluation contexts, coordinating for several weeks via…
Long-horizon research agents solve open-ended tasks through iterative retrieval, aggregation, and synthesis, but context grows rapidly while the marginal value of additional evidence often declines. This…
We study reference-free post-training for multilingual machine translation with open large language models. Starting from the supervised-finetuned MiLMMT-46-v0.1 models, we apply Group Relative Policy Optimization (GRPO)…
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains…
mtmd: support pocket-tts (#26871) adapt the api text model ok working impl, need verify and clean up mtmd: build the pocket-tts transposed convolutions as GEMM +…
Article URL: https://llama.app Comments URL: https://news.ycombinator.com/item?id=49267928 Points: 19 # Comments: 4
Article URL: https://s-1.vercel.app/posts/why-dropbox-is-a-obvious-pe-target/ Comments URL: https://news.ycombinator.com/item?id=49267818 Points: 25 # Comments: 33
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RT Sakana AISakana AIのニュースレター「Sakana AI Insider」では、プロダクトのリリース情報や研究の解説、イベント、プレゼント情報をお届けしています。近々お知らせしたい発表があるので、見逃したくない方はこの機会にご登録ください。登録はこちらからhttps://forms.gle/c1wXf88bkrXFA8sh7 🐟️
Query-based mask transformers assemble segmentation outputs through pixel-wise competition among query predictions of the final layer, yet this inference process is not explicitly optimized during training.…
The rapid advancement of artificial intelligence (AI) has significantly accelerated research in time-series analysis, particularly in forecasting, classification, and generation tasks. Recent models, especially foundation models,…
Jigsaw puzzle solving requires jointly reasoning about visual content and geometric constraints, yet existing benchmarks use rectangular cuts that create ambiguous ground truth in texture-repeated regions.…
arXiv:2608.10766v1 Announce Type: cross Abstract: Explainable Artificial Intelligence (XAI) seeks to explain how an Artificial Intelligence (AI) system arrived at a particular decision. We propose ''Rule…
arXiv:2511.00366v3 Announce Type: replace Abstract: Digital twins are developed to model the behavior of a specific physical asset (or twin), and they can consist of high-fidelity…
arXiv:2608.10523v1 Announce Type: cross Abstract: texttt{TensorSketch} by~cite{pham2013fast,kar2012random} provides efficient sketching algorithms for high-dimensional polynomial kernels $vec{x}^{otimes p} in R^{d^p}$. cite{kar2012random} uses dense Johnson-Lindenstrauss (JL)-type projections with…
arXiv:2608.05025v2 Announce Type: replace-cross Abstract: Joint Energy-Based Models (JEM) unify classification and generation within a single network and support out-of-distribution (OOD) detection. Canonical JEM training relies…
arXiv:2608.10488v1 Announce Type: cross Abstract: Let $X_1,ldots,X_n$ be independent Gaussian tensors in $mathbb{R}^{d_1}otimescdotsotimesmathbb{R}^{d_k}$ whose covariance is a Kronecker product of $k$ unknown positive-definite factors, and put…
arXiv:2606.12260v3 Announce Type: replace-cross Abstract: How can we design a market of human-generated content for use in training AI models that both enables technological progress and…
arXiv:2608.10418v1 Announce Type: cross Abstract: Recent work has shown that, for smooth convex optimization, plain gradient descent can be accelerated from its textbook convergence rate of…
arXiv:2505.05168v4 Announce Type: replace-cross Abstract: Under mild conditions, a least-squares local linear Fr'echet curve predictor is derived for a response and a regressor evaluated in a…
arXiv:2608.10394v1 Announce Type: cross Abstract: Characterizing the dissimilarity of neural representations between experimental conditions, and tracking it across time, is a central goal of multivariate pattern…
arXiv:2310.15976v4 Announce Type: replace-cross Abstract: signSGD is attractive in nonconvex optimization because it communicates sign-valued rather than full-precision gradients. Several standard analyses assume independent stochastic-gradient samples,…
arXiv:2608.10845v1 Announce Type: new Abstract: Spectral clustering methods for network data are commonly based on a few matrix representations, such as the adjacency matrix and the…