model releases

AraMS-28k: The Largest Publicly Released Line-Level Dataset of Historical Arabic Manuscripts with Margin and Insertion-Anchor Annotations

arXiv:2608.26921v1 Announce Type: cross Abstract: We introduce AraMS-28k, the largest publicly released line-level dataset of genuine historical Arabic manuscripts, comprising 14 books, 3,043 pages, a

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Model Releases

Are Large Language Models Effective Knowledge Graph Constructors?

DGX agent

arXiv:2510.11297v2 Announce Type: replace Abstract: Knowledge graphs (KGs) are widely used in knowledge-intensive applications, yet it remains unclear how effectively current large language models (LL

model-releasesarxiv-cs-cl

28 Aug 2026

ASIL: Replacing Screenshot-and-Click with Structured State and Semantic Actions

arXiv:2608.26991v1 Announce Type: new Abstract: Powerful code agents can execute scripts, call tools, and manage files, yet many important applications remain accessible primarily through graphical us

Assessing mentalization in humans and large language models

arXiv:2608.26291v1 Announce Type: new Abstract: Mentalization - the ability to infer others' beliefs and intentions to guide one's own choices - is a key cognitive function underlying human social int

Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation Data

arXiv:2607.18064v2 Announce Type: replace-cross Abstract: Coding agents can now be left alone to improve software against a score. In this pattern--recently popularized as 'autoresearch'--the agent re

b10665

model: add DSpark support for Nemotron3.5 (#27804) model: add DSpark support for Nemotron3.5 Update src/models/dflash.cpp Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaeret@huggingface.co Co-authored-

b10666

tests : run test-save-load-state across all architectures (#27755) tests : run test-save-load-state across all architectures test-save-load-state previously only ran in ctest against a single download

b10667

metal : add fa-vec tunings for M4 Pro (#27824) This is a followup contribution to efeda76 as requested in https://github.com/ggml-org/llama.cpp/discussions/27668 to add support for additional Apple GP

b10668

metal : add fa-vec tunings for M3 Max, M5 and M5 Pro (#27863) metal : add fa-vec tunings for M5 This is a followup contribution to efeda76 as requested in https://github.com/ggml-org/llama.cpp/discuss

b10669

sycl: bind the f16 KV cache in place for the oneDNN SDPA path (#27468) Measured at a live KV length of 34816 (32768 depth plus one 2048 ubatch), on Qwen3.8 27B Q4_K_S: per tensor 4 * 34816 * 256 * 2 B

b10670

sycl: use TILE for quantized KV decode on BMG (#26689) Route quantized KV decode to TILE on Xe2 (BMG) only, keep VEC on other archs until validated there. Website: https://llama.app Attestations: http

b10672

OpenVINO: Update OV to 2026.3.1, whisper.cpp support, Qwen3.5 on NPU, and new ops (#27843) OpenVINO Backend: Fuse IM2COL + MatMul convolution into OpenVINO convolution ci:ggml-ov: Skip recurrent state

b10673

metal : add fa-vec tunings for M4 (#27875) This adds fa_vec_tuned_table records for Apple M4 to ggml-metal-tuning.cpp. Includes F16, Q4_0, Q4_1, Q5_0, Q5_1, and Q8_0. (M4, 10 GPU Cores) Co-authored-by

b10675

Vulkan: add hoisting support for row IDs and expert count in shaders (#26686) vulkan: add hoisting support for row IDs and expert count in shaders use hoisted row ids in coopmat2 vulkan: address revie

b10676

ggml : fix conv_transpose_2d for multiple batches (#26132) ggml : fix conv_transpose_2d for multiple batches ggml_compute_forward_conv_transpose_2d_impl only computed the first batch (ne[3] of the des

b10677

vulkan: fix missing view-alias dependencies in ggml_vk_graph_optimize (#27812) vulkan: fix missing view-alias dependencies in ggml_vk_graph_optimize is_src_of doesn't treat two views of one tensor as

b10678

model: qwen4exp: reduce number of graph splits (#27880) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/43734155 macOS/iOS: macOS Apple Silicon (arm64) macO

b10679

bench: add --tensor-read-lazy (#27881) bench: add --tensor-read-lazy rm the alias rename to LLAMA_LAZY_MODE_* Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestation

BALMS: Benchmarking Agentic LLMs for Longitudinal Mental Health Sensing

arXiv:2608.27219v1 Announce Type: new Abstract: Mental health assessment relies on episodic self-report scales, which convert subjective states such as stress into numerical scores but provide only sp

Behavior2Trip: Towards Personalized Travel Planning via User Behavior Trajectory

arXiv:2608.26807v1 Announce Type: cross Abstract: Travel planning agents assist users in generating personalized travel plans by modeling their individual preferences. Existing agents either rely on e

BekchiAI: Measuring, Observing, and Controlling LLM Agents in One Click

arXiv:2608.26867v1 Announce Type: new Abstract: Large language model agents reason, call tools, and act autonomously over many steps, but their agentic skills-correctly sequencing tools, planning unde

Benchmarking AI Agents for Hardware Design Automation via MCP Tool Calling

arXiv:2608.26199v1 Announce Type: new Abstract: We ask whether AI agents powered by locally deployed large language models can reliably automate expert-defined hardware design workflows in an industry

Benchmarking Clinical Decision Pathway Adherence in Large Language Models

arXiv:2608.26592v1 Announce Type: new Abstract: Following clinical decision pathways (CDPs) defined by clinical practice guidelines is essential for safe and reliable medical decision-making. However,

Benchmarking_Fast_Domain_Adaptation_for_Unsupervised_Speech_Units

arXiv:2608.26992v1 Announce Type: new Abstract: Representation learning has attracted great atten- tion and managed to reach good performances as a pretraining method for downstream tasks or as a firs

Beyond Accuracy: A Qualitative Analysis of Vision-Language Models for Hate Speech Detection in Memes

arXiv:2608.26143v1 Announce Type: cross Abstract: Memes have turned out to be a powerful tool through which individuals share their ideas concerning contemporary social and political problems. Their a

Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image Transformations

arXiv:2608.27066v1 Announce Type: cross Abstract: Privacy-Enhancing Technologies (PETs) in computer vision often rely on noise or image perturbations to protect visual data while securely processing i

Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners

arXiv:2608.27424v1 Announce Type: cross Abstract: Static scanners are increasingly used to identify executable or otherwise unsafe content in machine- learning artifacts, yet conventional evaluation m

Beyond Factual QA: Mentorship-Oriented Question Answering over Long-Form Multilingual Content

arXiv:2601.17173v2 Announce Type: replace-cross Abstract: Question answering systems are typically evaluated on factual correctness, yet many real-world applications-such as education and career guida

BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models

arXiv:2608.27268v1 Announce Type: new Abstract: Although Large language models (LLMs) mediate access to knowledge and computational assistance, their capabilities should benefit vulnerable groups in t

BREAKING: SpaceXAI has released a major new update for Grok Build (v1.0.13). The update improves reliability with automatic retries and reco…

model-releaseselon-musk--x

BREAKING: SpaceXAI has released a major new update for Grok Build (v1.0.13). The update improves reliability with automatic retries and recovery from truncated responses, inference failures, oversized

Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization

arXiv:2504.09409v2 Announce Type: replace-cross Abstract: In this paper, we study nonconvex constrained stochastic zeroth-order optimization problems, for which we have access to exact information of

BTS-AgentBench: A Deterministic, Replayable Pipeline from Read-Only Telemetry Logs to Agent Benchmarks

arXiv:2608.27334v1 Announce Type: new Abstract: Industrial sites contain large volumes of read-only telemetry, but few benchmarks specify how to compile these records into executable multi-turn agent

Camera Calibration Using Inaccurate and Asynchronous Discrete GPS Trajectory from Drones

model-releasesarxiv-cs-cv

arXiv:2608.26548v1 Announce Type: cross Abstract: This paper considers a stationary camera calibration problem, which estimates the camera orientation angles yaw, pitch and roll, using a drone traject

CG4AI: A Column Generation Framework for Training AI Models Under Constraints

arXiv:2608.26375v1 Announce Type: cross Abstract: Standard machine-learning training minimizes a loss function over a dataset, but does not guarantee that the resulting model will satisfy predefined r

CIFQA: A Deterministic Tool-Grounded Multi-Agent LLM Framework for Financial Query Answering

arXiv:2608.26114v1 Announce Type: new Abstract: Calculation-intensive financial question answering requires exact reasoning over structured rates, temporal conditions, numerical formulas, and rule-bas

Classical and Hybrid Quantum Machine Learning for Trigger-Like Event Selection on CMS Open Data: An Eight-Qubit, PCA-Constrained Benchmark

arXiv:2608.26224v1 Announce Type: cross Abstract: Event triggering sits at the heart of high-energy physics, where the rare events of interest must be retained while an overwhelming background is disc

CODE: Cross-Modal Calibration and Dynamic Suppression for Open World Object Detection

model-releasesarxiv-cs-cv

arXiv:2608.27214v1 Announce Type: new Abstract: Open World Object Detection (OWOD) built on multimodal foundation models often suffers from semantic ambiguity caused by unidirectional text-to-vision m

COFM: Consistent Optimal Transport Flow Matching via Partially Input Convex Neural Networks

arXiv:2511.06042v2 Announce Type: replace Abstract: Optimal transport (OT) provides a principled framework for learning mappings between probability distributions, and has found broad applications in

Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigms

arXiv:2608.27409v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves specific capabilities of large language models, but covering multiple capabilities often

CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases

arXiv:2608.27391v1 Announce Type: new Abstract: LLMs are increasingly able to answer complex questions about enterprise-scale document collections. But evaluation is hard: companies don't want to shar

Court rules Pentagon can’t ban Anthropic’s AI models

model-releasessiliconangle

A federal court has overturned the U.S. Defense Department’s ban on Anthropic PBC’s artificial intelligence models. Judge Rita Lin wrote in a late Thursday ruling that the Pentagon’s move was “illegal

Cross-Architecture Knowledge Distillation from a Vision Foundation Model to a Lightweight Visual State Space Model for Tea Leaf Disease Classification

model-releasesarxiv-cs-cv

arXiv:2608.26771v1 Announce Type: new Abstract: Automated tea leaf disease classification supports precision agriculture, yet deploying accurate models on edge devices remains challenging under tight

Cross-Platform Benchmark of Neural 3D Reconstruction for Autonomous Laboratory Robots

model-releasesarxiv-cs-ro

arXiv:2608.26383v1 Announce Type: new Abstract: Autonomous robots performing laboratory tasks depend on 3D reconstruction pipelines that can turn raw camera streams into actionable object representati

Cross-simulator transfer with foundation model summaries: Towards robust SKA-era reionization inference

arXiv:2608.26354v1 Announce Type: cross Abstract: Simulation-based inference (SBI) for parameter estimation is vulnerable to model misspecification: neural summaries and density estimators trained on

D2C-Routing: Dimension-to-Composition Evidence Routing for Mixed-Origin AI-Generated Text Detection

arXiv:2608.27380v1 Announce Type: new Abstract: AI-generated text detection is commonly framed as a binary document-level judgment about whether a text is human-written or machine-generated. This fram

Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds

arXiv:2608.26346v1 Announce Type: cross Abstract: We investigate whether AI-generated impulsive sounds can be distinguished from real ones through group delay analysis. Our central finding is that AI-

DEEPCHART: How Far are LLMs from Faithful Data-Science Chart Generation?

arXiv:2608.26757v1 Announce Type: new Abstract: Faithful chart generation in real-world data-science workflows requires grounding visualizations in scattered evidence, computing chart-ready quantities

DeflectBench: A Benchmark for Evaluating Rhetorical Fallacy Generation in LLMs

arXiv:2608.26119v1 Announce Type: new Abstract: Whether large language models can be prompted to generate rhetorical fallacies on demand, and whether current safety post-training constrains this behav