Knowledge catalogue
arXiv:2502.17061v2 Announce Type: replace-cross Abstract: Prescribed-parameter convolutional transforms achieve strong time series classification performance using fixed kernels, simple pooling operat
arXiv:2610.36874v1 Announce Type: cross Abstract: GUI grounding on high-resolution screens fails mostly on small targets, and zooming in is a common training-free remedy. However, most existing zoomin
arXiv:2610.36983v1 Announce Type: cross Abstract: While data curation is widely credited with improving large language model training, a basic question remains unresolved: does curation expand what a
arXiv:2610.36229v1 Announce Type: cross Abstract: AI coding agents such as Claude Code, GitHub Copilot coding agent, and Cursor now commit directly to open-source repositories. Empirical studies of th
common : support deferred tools and tool_reference content parts (#31256) common : support deferred tools and tool_reference content parts Assisted-by: Claude Opus 5.5 common : credit the deferred too
server: expose the reasoning effort levels of the chat template (#31271) server: expose the reasoning effort levels of the chat template The capability probe renders a user turn for each candidate lev
chat : stop qwen3-coder reasoning and content before template separators (#30557) chat : strip trailing whitespace from parsed reasoning and content Assisted-by: Claude Fable 5.1 chat : stop qwen3-cod
tests : adjust constants to reduce irrelevant warnings (#31254) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/60769683 macOS/iOS: macOS Apple Silicon (arm
llama.cpp : bump version to 0.8.0 (#31309) llama.cpp : bump version to 0.8.0 authors : update Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/60815024 macOS
cuda: fuse MoE (MUL_MAT_ID) gate/up and GLU in MMQ (#31188) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/60834811 macOS/iOS: macOS Apple Silicon (arm64)
sycl: work-group argmax for short TOP_K rows (#31110) sycl: work-group argmax for short TOP_K rows Used angelX to optimize SYCL/drama 3 coordination, results are as follows Rows with ncols <= max work
llama : fix DSV4 compressor padding for simple batches Count actual tokens per sequence when padding compressor writes. Add a graph reuse regression test for odd-sized DeepSeek V4 and V4.1 batches. As
ci(s390x): switch to Ubuntu 26.04 runners (#31317) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/60911815 macOS/iOS: macOS Apple Silicon (arm64) macOS App
ggml-cpu: SVE 256 bit implementation of gemm_q6_K_8x8_q8_K kernel (#27472) q6_k GEMM working cleanup review comments review comment addressed - removed pg16_8 incorporated the review comments - replac
Speed up IQ4 quant creation with pre-computed halfway points (#31201) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/60965905 macOS/iOS: macOS Apple Silico
hexagon: add conv2d support (#30995) hexagon: add conv2d op hex-conv2d: add double-buffered staging hex-conv2d: full 64-wide activation block transpose straight from staged buffer hex-conv2d: implicit
In my previous post, I took you behind the scenes of Google Agent Skills, covering how the project started, how we maintain quality at scale, and how we handle governance. In this post, I'll share wha
arXiv:2610.36764v1 Announce Type: new Abstract: Fake news undermines public trust and the integrity of online information ecosystems. Temporally disordered fake news is especially elusive because it r
arXiv:2610.36309v1 Announce Type: new Abstract: Deep reinforcement learning (RL) algorithms have been observed to lose the ability to adaptively learn from new data, a phenomenon termed Loss of Plasti
By popular request, you can now text your dot. Give it a task to take off your plate or something to keep an eye on, using text, photos, or even voice notes. It will text you proactively with relevant
arXiv:2610.36599v1 Announce Type: cross Abstract: Quadruped robots are increasingly deployed in hazardous environments such as disaster response and facility inspection, where external-camera monitori
arXiv:2610.36524v1 Announce Type: new Abstract: Can controlled symbolic inputs reveal attention heads that influence a language model's decisions from natural language evidence? We introduce controlle
arXiv:2610.36010v1 Announce Type: cross Abstract: Code review is essential for maintaining software repositories by identifying defects, improving code quality, and supporting reliable software evolut
arXiv:2610.36204v1 Announce Type: cross Abstract: Link prediction remains difficult in sparse graphs, where diffusion heuristics lack connectivity and geometric methods suffer spectral instability whe
arXiv:2610.37162v1 Announce Type: cross Abstract: Coverage-evaluation benchmarks quantify whether retrieved evidence covers the different pieces of information needed to satisfy an information need. E
arXiv:2610.37442v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) inference on memory-constrained edge platforms is often dominated by expert-weight movement rather than computation. Although e
arXiv:2610.35967v1 Announce Type: new Abstract: We present LatentLieODE, a novel neural ODE method to discover linear Lie symmetries and first integrals of the learned dynamics from timeseries observa
arXiv:2509.06585v3 Announce Type: replace Abstract: Illegal and unsustainable wildlife trade remains a major conservation challenge and is increasingly shifting to online marketplaces where monitoring
arXiv:2610.35957v1 Announce Type: new Abstract: Distributed speculative decoding has emerged as a promising approach for device--server collaborative large language model (LLM) inference, but its deco
arXiv:2610.36756v1 Announce Type: new Abstract: Remote sensing (RS) image-text retrieval plays a critical role in understanding massive RS imagery. However, the dense multi-object distribution and com
arXiv:2610.36344v1 Announce Type: cross Abstract: DNA methylation (DNAM) array-based tumor classification is a powerful clinical diagnostic tool, but models trained on fixed reference cohorts can prod
arXiv:2610.37443v1 Announce Type: new Abstract: Long-term memory enables Large Language Models (LLMs) to maintain coherent and personalized interactions across extended conversations. However, existin
arXiv:2610.36280v1 Announce Type: new Abstract: Molecular 3D structures underpin simulations of thermodynamics, kinetics, crystallization, and nucleation, making their accurate prediction central to d
Data preparation startup Prophecy Inc. today launched DataGPT, a new service that allows business analysts to run complete data workflows from inside OpenAI Group PBC’s ChatGPT, Anthropic PBC’s Claude
arXiv:2610.36410v1 Announce Type: cross Abstract: Scientific drilling has produced large archives of physical, chemical and magnetic measurements linked to descriptions of the rock recovered. These ar
arXiv:2610.36020v1 Announce Type: new Abstract: Dynamic creative optimization decides which creative of an ad to render for each request. Recent work places that choice before ad ranking, but relies o
arXiv:2610.35982v1 Announce Type: cross Abstract: Research on coding agents mainly focuses on generation quality. Yet, safety-critical automotive software makes two additional demands. It prioritizes
arXiv:2610.37041v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has shown strong empirical gains in improving the reasoning ability of large language models (LLMs
arXiv:2610.36558v1 Announce Type: new Abstract: Stationary tail computation for high-dimensional reflected Brownian motions (RBMs) remains computationally challenging. Building on NN4MGF's shared-coor
arXiv:2610.37389v1 Announce Type: new Abstract: Knowledge graph embedding (KGE), a fundamental technique for knowledge-centric Web and KG-augmented AI applications, is commonly trained through contras
arXiv:2310.03186v4 Announce Type: replace-cross Abstract: Patterns of microcircuitry in the cerebral cortex suggest that the brain has an array of repeated canonical computational units. However, neur
arXiv:2610.36816v1 Announce Type: new Abstract: This study develops an integrated, reproducible design assessment for a four-wheel educational rover intended for the high-school remote-control divisio
arXiv:2610.37178v1 Announce Type: new Abstract: Interpretable Transformers often perform well in domain specific settings but lose effectiveness beyond that. Achieving ViT-like broad applicability req
arXiv:2610.36864v1 Announce Type: cross Abstract: Mutual information (MI) is fundamental to representation-learning analysis in deep networks, but in high dimensions MI estimators depend on hyperparam
Is that a table, or just text that happens to line up? If a table has two header rows, should the output preserve both? Parsers make these judgment calls differently. Those differences shape what your
Enterprise artificial intelligence context startup Jedify Inc. today formally launched Data Agents, a product that lets business teams set up autonomous AI analysts by describing the work they want do
arXiv:2610.35961v1 Announce Type: cross Abstract: Diabetic retinopathy grading from retinal fundus photographs is important but difficult to deploy on resource-constrained hardware. We conducted a con
arXiv:2610.37093v1 Announce Type: cross Abstract: Visual perception is evolving from passive recognition toward active, task-oriented observation. We investigate GUI grounding as a scalable source of
arXiv:2610.36576v1 Announce Type: cross Abstract: Large language models have recently shown strong potential for automatically optimizing GPU kernels, yet their effectiveness depends critically on the
arXiv:2610.36806v1 Announce Type: new Abstract: Prediction models degrade when the deployment population differs from the one used to train them, and training data cannot say which feature-response re
I was researching Local LLM computer use agents the other night and ended up down a rabbit hole where I ended up discovering a whole new class of hardware I didn’t know existed: Agent-driven KVMs A lo
arXiv:2610.36456v1 Announce Type: cross Abstract: Video stylization typically transforms entire scenes, while local artistic editing requires precise region--style association, spatial control, and te
arXiv:2610.36655v1 Announce Type: new Abstract: Optimizing expected rewards and reachability probabilities in parametric Markov chains (pMCs) is central to the analysis and synthesis of probabilistic
arXiv:2610.37459v1 Announce Type: new Abstract: Clinical research over electronic health records depends on derived variables whose definitions sit outside the schema, in item codes, time windows, mis
arXiv:2610.35204v2 Announce Type: replace-cross Abstract: Learning molecular models of RNA requires simulation data that capture conformational variability and provide consistent physical training sig
arXiv:2610.36544v1 Announce Type: new Abstract: Classification accuracy and true-positive and false-positive rates alone do not determine whether restarting an AI agent improves success. Using an exac
Enthusiasm for artificial intelligence agents is at an all-time high and many enterprises have gotten so carried away that they’re deploying them faster than they keep up. Their human AI engineers onl
arXiv:2209.14937v3 Announce Type: replace-cross Abstract: Stochastic first-order methods are widely used for large-scale optimization and machine learning, where their performance often depends on the
Cybersecurity startup Northstar Security AI Inc. launched today with 7 million in new funding to give artificial intelligence agents the context they need to act on security risks. Northstar offers a
arXiv:2610.36335v1 Announce Type: new Abstract: Large language models (LLMs) perform well across many real-world tasks but remain prone to hallucination, limiting their reliability in domains such as