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  • Model Releases35,347
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CompanyAnthropic5 recent entries
11 May 2026Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference Optimization

arXiv:2605.07172v1 Announce Type: new Abstract: Alignment of large language models (LLMs) via SFT and RLHF/DPO typically ignores the global geometry of the representation space, relying instead on loc

→23 May 2026A Mechanistic Explanatory Strategy for XAI

arXiv:2411.01332v5 Announce Type: replace Abstract: Despite significant advancements in XAI, scholars note a persistent lack of solid conceptual foundations and integration with broader scientific dis

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    HumanDGX agent

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    10 Jul 2026SPL: Orchestrating Workflows with Declarative Deterministic-Probabilistic Composition

    arXiv:2607.07727v1 Announce Type: cross Abstract: We present SPL (Structured Prompt Language), a declarative language that composes deterministic and probabilistic computation modes in a single specif

    →20 Aug 2026Flama: a Python framework for development and deployment of production-ready APIs, machine learning, and LLM services

    arXiv:2608.18733v1 Announce Type: cross Abstract: We present Flama, an open-source Python framework for developing and deploying production-ready web APIs, machine learning services, and large-languag

    →18 Sept 2026Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

    arXiv:2609.20614v1 Announce Type: cross Abstract: Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced

    CompanyOpenAI8 recent entries
    20 Aug 2026Flama: a Python framework for development and deployment of production-ready APIs, machine learning, and LLM services

    arXiv:2608.18733v1 Announce Type: cross Abstract: We present Flama, an open-source Python framework for developing and deploying production-ready web APIs, machine learning services, and large-languag

    →11 Sept 2026BruNet: A Cross-Domain Transfer Framework for Bruise Segmentation

    arXiv:2609.11463v1 Announce Type: new Abstract: Segmenting bruises is a challenging task in medical imaging due to limited data and annotations, diffuse boundaries, and highly variable appearance. In

    →17 Sept 2026Disentangling Algorithmic Bias from Archival Artifacts: A Controlled Audit of Vision-Language Model Valuation in Metropolitan Museum Archives

    arXiv:2609.17572v1 Announce Type: new Abstract: Auditing vision-language models (VLMs) for societal bias requires distinguishing direct algorithmic valuation disparities from confounders embedded with

    →18 Sept 2026Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape

    arXiv:2609.20614v1 Announce Type: cross Abstract: Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced

    →23 Sept 2026Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous Domains

    arXiv:2609.25498v1 Announce Type: cross Abstract: Deploying Large Language Models for runtime operational triage incurs prohibitive latency (>100-500 ms), high VRAM requirements (>4-8 GB), and excessi

    →28 Sept 2026DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education

    arXiv:2609.31568v1 Announce Type: new Abstract: AI tutoring could markedly improve learning outcomes for students in developing regions such as Vietnam, yet the two obvious paths both fall short. Clou

    →1 Oct 2026Strong Multilingual Privacy Tagging at Encoder Speed

    arXiv:2609.38630v1 Announce Type: new Abstract: Privacy redaction must remove personal information while preserving relationships expressed in text. We develop a multilingual named-entity tagger with

    →8 Oct 2026Why VLMs Miss Small Objects, and When Zooming In Is Safe

    arXiv:2610.09313v1 Announce Type: new Abstract: Vision-language models (VLMs) often miss small objects in large images. We ask three questions: what limits them, which of these limits better models ca

    CompanyGoogle2 recent entries
    23 Jul 2026Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination

    arXiv:2607.19719v1 Announce Type: new Abstract: Latent world models improve sample efficiency in continuous control by optimizing policies over imagined latent trajectories, but common neural transiti

    →18 Aug 2026Solvable Sokoban Without a Solver via Diffusion

    arXiv:2608.15958v1 Announce Type: new Abstract: Deciding whether a Sokoban puzzle is solvable is PSPACE-complete (Culberson, 1997): solutions can be exponentially long and there is no short certificat

    CompanyMeta8 recent entries
    24 Sept 2026Agentic Governance and Adversarial Verification for Policy-Constrained LLM Healthcare Appeal Generation

    arXiv:2609.27844v1 Announce Type: new Abstract: Claim denial management costs U.S. healthcare approximately $260 billion annually in administrative overhead. Large Language Models (LLMs) and Retrieval

    →28 Sept 2026To Solve Bilevel Optimization with Nonconvex Lower Levels, We Need Second-Order Stationarity

    arXiv:2609.30501v1 Announce Type: new Abstract: Although bilevel optimization (BLO) has emerged as a powerful framework for addressing many complex and nested machine learning problems in recent years

    →28 Sept 2026Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations

    arXiv:2512.21004v2 Announce Type: replace Abstract: Recent advances in pretraining general foundation models have significantly improved performance across diverse downstream tasks. While autoregressi

    →1 Oct 2026Rep2Skill: Representation-Guided Skill Self-Evolution for LLM Agents

    arXiv:2609.39149v1 Announce Type: new Abstract: Textual skills enable large language model (LLM) based agents to accumulate reusable procedural knowledge without updating model parameters. Yet existin

    →2 Oct 2026RISED: RubrIcs for agentic multi-environment Selection and sElf-Distillation

    arXiv:2610.00979v1 Announce Type: new Abstract: Training a single LLM agent jointly across diverse interactive environments has attracted increasing attention as a route to generalist agents. Existing

    →2 Oct 2026Localisation-Aware Uncertainty for Pretrained Object Detection

    arXiv:2610.01409v1 Announce Type: new Abstract: Reliable uncertainty estimation is essential for deploying object detectors when distribution/covariate shift and adversarial attacks may occur. Existin

    →6 Oct 2026Gated Target Propagation for Compositional Generalization in Continual Learning

    arXiv:2610.04649v1 Announce Type: new Abstract: Continual learning is typically framed as acquiring new knowledge without catastrophically forgetting previous tasks. However, a flexible continual lear

    →7 Oct 2026Neural Fields Encode Adaptation Geometry

    arXiv:2610.07253v1 Announce Type: new Abstract: Neural fields are usually evaluated by how well they reconstruct an observation. We show that this misses two useful properties of a fitted network: how

    CompanyxAI8 recent entries
    28 Jul 2026Beyond Local Inspection: Global, Guideline-Grounded Evaluation of Post-hoc XAI Methods for ECG Classification

    arXiv:2607.24035v1 Announce Type: cross Abstract: Explainable AI (XAI) is used to assess whether artificial intelligence models rely on meaningful patterns, yet explanations that appear plausible for

    →29 Jul 2026TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models

    arXiv:2507.10643v4 Announce Type: replace-cross Abstract: Post-hoc model-agnostic local attribution (LA) methods have been widely adopted to explain opaque AI models by quantifying feature-wise contri

    →4 Aug 2026Paris as a 15-Minute City: An Explainable AI Perspective

    arXiv:2608.00815v1 Announce Type: new Abstract: The 15-minute city promotes access to everyday services within a short walk or bicycle ride, but its relationship with observed mobility remains difficu

    →10 Aug 2026Human-Centered Explainable AI for TinyML Edge Devices: A Pareto-Based Selection Framework with LLM-Guided Design

    arXiv:2608.07091v1 Announce Type: cross Abstract: Edge Artificial Intelligence (Edge AI) enables the deployment of AI models directly on local edge devices, while such deployments are subject to stric

    →1 Sept 2026Integrating attention into explanation frameworks for language and vision transformers

    arXiv:2508.08966v2 Announce Type: replace Abstract: The attention mechanism lies at the core of the transformer architecture, providing an interpretable model-internal signal that has motivated a grow

    →15 Sept 2026Diversified and Perceptible Counterfactual Examples Leveraging Expert Knowledge

    arXiv:2609.15609v1 Announce Type: new Abstract: CounterFactual Examples (CFEs) are a cornerstone of eXplainable Artificial Intelligence (XAI), offering local, post hoc, and model-agnostic explanations

    →5 Oct 2026HXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Systems

    arXiv:2610.02504v1 Announce Type: new Abstract: Balancing electricity demand and supply is increasingly difficult due to the inherent intermittency of renewable power generation and the stochastic pow

    →6 Oct 2026TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback

    arXiv:2610.06657v1 Announce Type: new Abstract: Workplace sensing studies combine long-running behaviour traces with self-reports, yet the tools that collect those data often sit apart from the interf

    CompanyNVIDIA8 recent entries
    24 Sept 2026From greenhouse climate to individual leaves: an organ-resolved model of lettuce growth

    arXiv:2609.27118v1 Announce Type: new Abstract: Greenhouse climate management aims to improve crop production while limiting energy use. This requires knowing how a crop will respond before conditions

    →29 Sept 2026Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge

    arXiv:2609.35110v1 Announce Type: cross Abstract: Video diffusion models are rapidly scaling and exhibiting enhanced generation capabilities. Among these recent advancements, MiniMax-H3 stands out as

    →29 Sept 2026Resource-Aware Federated Mixture-of-Experts with Adaptive Pruning for Onboard Learning in LEO Satellite Constellations

    arXiv:2609.31932v1 Announce Type: cross Abstract: Low-Earth-orbit (LEO) satellites are increasingly expected to perform onboard learning for applications such as disaster response and environmental mo

    →29 Sept 2026Normalise or condition? Noise-floor front-ends for on-board keyword spotting under UAV rotor ego-noise

    arXiv:2609.31699v1 Announce Type: cross Abstract: A microphone on the airframe of a small multi-rotor UAV is dominated by rotor ego-noise, so spoken flight commands arrive at negative signal-to-noise

    →30 Sept 2026ReCaVSR: One-Step Streaming Diffusion Video Super-Resolution with Recycled Latents and Learned Cache Routing

    arXiv:2609.37831v1 Announce Type: new Abstract: Real-time diffusion-based video super-resolution (VSR) is in high demand for online streaming, yet stringent latency requirements often compromise gener

    →1 Oct 2026Decode-Latency Feedback Prefill: A Model-Free Controller and Its Generalization Limits

    arXiv:2609.38386v1 Announce Type: new Abstract: Concurrent autoregressive inference creates a fundamental interference problem: prefilling a newly arrived long prompt can delay tokens for requests tha

    →2 Oct 2026IndoorBEV: A Lightweight Real-Time LiDAR BEV Perception System for Indoor Mobile Robots

    arXiv:2610.00355v1 Announce Type: new Abstract: Efficient indoor LiDAR perception is challenging because mobile robots must understand cluttered three-dimensional environments under strict latency and

    →9 Oct 2026SatFix: Absolute Visual Localization of UAVs in Satellite Maps from a Single Oblique Image

    arXiv:2610.11049v1 Announce Type: new Abstract: We study absolute metric UAV localization within a provided geo-referenced satellite region, recovering continuous map position and viewing heading from