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arXiv:2603.28572v2 Announce Type: replace Abstract: Denoising models such as Diffusion or Flow Matching have recently advanced generative modeling for discrete structures, yet most approaches operate

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Model Releases

v0.40.10-rc0: Update gemma renderers (#19241)

DGX agent

renderers: add gemma4-nemotron renderer Add a Gemma 4 renderer variant that renders assistant content before its tool calls rather than after the tool responses. Models opt in with RENDERER gemma4-nem

model-releasesollama-releases

23 Oct 2026

v0.40.9

Speech Ollama can now generate speech with Phonon on Apple Silicon. ollama run plays text or a chat model's reply aloud as the audio is generated, and apps can stream audio through the OpenAI-compatib

local-aiollama-releases

Wavenumber-Aware Deep Learning for Robust Analysis of Raman Spectra

arXiv:2610.30746v1 Announce Type: new Abstract: Machine-learning models for spectroscopy usually treat a spectrum as a fixed-grid intensity vector, leaving the physical coordinate implicit in the arra

xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs

arXiv:2610.30815v1 Announce Type: cross Abstract: Graphs play a crucial role in many applications, ranging from drug discovery to social network modeling and astronomy. Generative models for graphs ha

researcharxiv-cs-lg

Zero-Shot Domain Generalization via Domain Prompt Learning

arXiv:2610.30680v1 Announce Type: new Abstract: Domain generalization (DG) aims to improve the generalization of the model to any unseen domains. Targeting this goal, existing DG methods mainly focus

A Large-Scale Evaluation of Role-Enhanced Zero-Shot Chain-of-Thought Prompting

arXiv:2610.29073v1 Announce Type: new Abstract: This paper proposes Role-Enhanced Zero-Shot Chain-of-Thought (RE-ZS-CoT), a prompting framework that systematically integrates domain-specific expert ro

A Strong MoE Is All You Need for Process Supervision

arXiv:2610.29498v1 Announce Type: new Abstract: Process reward models (PRMs) provide fine-grained supervision for multi-step reasoning, yet obtaining reliable process labels remains a central bottlene

researcharxiv-cs-cl

Accept or Repair: Preserving Passage-Supported Answers in Contrastive Decoding

arXiv:2610.29727v1 Announce Type: new Abstract: Large language models often answer from knowledge learned during training, even when a provided passage contradicts that knowledge. To address this prob

Ai2 releases OlmoEarth v1.3 state-of-the-art AI-ready satellite embeddings for the whole planet

model-releasessiliconangle

Ai2, the Allen Institute for Artificial Intelligence, today released a satellite map embedding model called OlmoEarth v1.3 and precomputed annual embeddings for the whole planet at various resolutions

Tutorials

Are Joint-Embedding Predictive Objectives Effective for Longitudinal EHRs?

arXiv:2610.29528v1 Announce Type: new Abstract: Masked language modelling (MLM) is the dominant pretraining objective for transformer encoders applied to longitudinal electronic health records (EHRs).

tutorialsarxiv-cs-lg

Block Diffusion for Longitudinal EHR: Accuracy, Efficiency, and Representation Trade-offs

arXiv:2610.29533v1 Announce Type: new Abstract: Autoregressive (AR) models have proved effective for zero-shot prediction from longitudinal electronic health records, but impose strictly sequential ge

researcharxiv-cs-lg

Comme promis, voici les premiers benchmarks Cortex comparés à Aider et OpenCode.

Il y a quelques jours, plusieurs d'entre vous m'ont demandé de partager des résultats concrets plutôt que de simplement parler du potentiel de Cortex. Les voici donc. J'ai effectué des tests de perfor

model-releasesr-ollama

CSD: Common-Support Distillation for Cross-Tokenizer Knowledge Transfer

arXiv:2610.28895v1 Announce Type: new Abstract: Cross-tokenizer logits distillation enables knowledge transfer across model families, allowing students to learn from stronger or more specialized teach

DeepSeek and MiniMax Clear China’s AI Export Rules for Overseas Open-Source Releases

model-releasesr-localllama

On October 22, Chinese media reported that DeepSeek and MiniMax have officially completed the required registration filings under China’s new temporary AI export regulations. By submitting their techn

Agents

FogTTA: Online Test-Time Adaptation for Robust Transformer-based Object Detection in Foggy Weather

arXiv:2610.29618v1 Announce Type: new Abstract: Object detection models for autonomous driving commonly experience substantial performance drops when deployed under adverse weather due to the domain s

agentsarxiv-cs-cv

Fragment-Level Graph Encoding for Interpretable Molecular Property Prediction

arXiv:2610.29589v1 Announce Type: new Abstract: Graph neural networks (GNNs) are among the standard tools for molecular property prediction, but the atom-level explanations of their predictions are ha

@jmorgan @ThisWeeknAI @Jason Full video link: https://www.youtube.com/watch?v=6ZUo02uGpso

This Week In AI released a YouTube video on Oct 22, 2026 titled “Why Fortune 500 Companies Are Quietly Switching to Open Models.” The video—hosted by @jmorgan and featuring @Jason—examines the growing

local-aiollama--x

Keeping Time vs. Understanding Time: Neither Alone Explains Temporal Reasoning in LLMs

arXiv:2610.29507v1 Announce Type: new Abstract: Temporal reasoning is widely assumed to decompose into two modes: temporal arithmetic (date and time calculations), and temporal semantics (understandin

My AIE talk is live! I talk about the benchmark I've been building for 5 months now and released it publicly for the first time there :) Lou…

My AIE talk is live! I talk about the benchmark I've been building for 5 months now and released it publicly for the first time there :) Louis-François Bouchard of Towards AI breaks down what makes AI

model-releasesswyx--x

NeuralSRender: G-Buffer Guided Video Diffusion for Sim-to-Real Rendering

arXiv:2610.29200v1 Announce Type: new Abstract: The scarcity of high-quality annotated visual data remains a critical bottleneck for autonomous-driving perception. Simulators provide training data at

RealMe: Immersive Volumetric Video from Minimal Captures

arXiv:2610.30023v1 Announce Type: new Abstract: This paper addresses the problem of creating immersive volumetric videos from sparse and low-resolution capture resources. Conventional dense multi-view

Region-Aware Multi-View Inspection Using Deep Learning and Domain-Informed Decision Fusion

arXiv:2610.29398v1 Announce Type: new Abstract: Automated optical inspection of precision components with tiny surface defects remains challenging when different regions of the same component exhibit

local-aiarxiv-cs-cv

Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis

arXiv:2610.29830v1 Announce Type: new Abstract: Deep learning models for chest X-ray anomaly detection remain vulnerable to subtle distributional shifts (e.g., acquisition technique, patient-related f

researcharxiv-cs-cv

SAM-DCE: Decoupled Context Enhancement for Prompt-Free Medical Image Segmentation

arXiv:2509.16886v3 Announce Type: replace Abstract: The Segment Anything Model (SAM) is a promising foundation model for medical image segmentation, but its prompt-driven design is not directly suitab

researcharxiv-cs-cv

Same Probabilities, Different Advice: Gain-Loss Framing Effects in High-Stakes LLM Decision Support

arXiv:2610.29294v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to support consequential decisions, yet their reliability under equivalent representations of uncer

SANE: Automated Scorer-Specific Metamorphic Testing for LLM Judges

arXiv:2610.28886v1 Announce Type: new Abstract: LLM judges increasingly mediate benchmark evaluation, model selection, data curation, and training. Their decisions are useful only when each judge resp

Industry

What I Talk About When I Talk About Control Making something and having the skill to make it used to feel tightly linked. Now the outcome no…

industrycristobal-valenzuela--x

What I Talk About When I Talk About Control Making something and having the skill to make it used to feel tightly linked. Now the outcome no longer proves you have the skill. Or does it? When text-to-

Adversarial Benchmarks and BenchDoor Attacks: Exploiting Benchmark Incentives for Backdoor Attacks

arXiv:2610.27533v1 Announce Type: cross Abstract: Machine learning benchmarks act as guideposts for model development and spur the creation of training datasets intended to improve benchmark scores. W

Agents-as-Peers: Bias-Controlled LLM Evaluation as Multi-Agent Peer Assessment

arXiv:2602.02589v2 Announce Type: replace Abstract: Large language model (LLM) evaluation commonly relies on fixed human-authored benchmarks or centralized human/model judges. Fixed benchmarks can age

Anchoring and Rescaling Attention for Semantically Coherent Inbetweening

arXiv:2603.17651v2 Announce Type: replace-cross Abstract: Generative inbetweening (GI) seeks to synthesize realistic intermediate frames between the first and last keyframes beyond mere interpolation.

Baseline and Incremental: User, Item, and Request Debiasing in Instagram Feed Ranking

arXiv:2610.27423v1 Announce Type: cross Abstract: A feed ranker scores candidates with a value model, a weighted sum of engagement predictions. Each prediction conflates a baseline, what this viewer,

Beyond Two Tracks: Speaker-Anchored Full-Duplex Dialogue Recovery

arXiv:2610.27109v1 Announce Type: cross Abstract: Spoken interaction is moving from alternating turns to full-duplex conversation, where an agent listens while speaking. Learning this coordination req

Built on Claude 🤝

model-releasescristobal-valenzuela--x

Built on Claude 🤝 Today, Runway is joining Claude Marketplace. Enterprise teams already working with @claudeai can now put part of their Anthropic commitment toward Runway Creative, bringing video, im

Code2Video-Compass: A Comprehensive Benchmark for General-Purpose Code-Based Video Generation across T2V, I2V, and V2V

arXiv:2610.28416v1 Announce Type: cross Abstract: Code-based video generation offers fine-grained control, targeted editing, and component reuse compared with direct video generation. This approach re

Cosmos3-Edge in under 8 GB: VLM out now, video gen and robot policy next.

Hey guys, posted about optimized Cosmos Reason 2 model here a few months ago. Wanted to share a build of the latest Cosmos3 model, with even more optimizations! Huggingface and Jetson AI Lab has no Or

local-air-localllama

Critical PHP RCE Vulnerabilities: Patch Now (CVE-2026-109618, CVE-2026-109619)

model-releasesdigitalocean

DigitalOcean is aware of two critical remote code execution (RCE) vulnerabilities in PHP, tracked as CVE-2026-109618 and CVE-2026-109619, publicly disclosed on October 21, 2026. Either allows an attac

De-Diffusing WAMs: Action-Sufficient Direct Prediction for Robot Control

arXiv:2610.28122v1 Announce Type: cross Abstract: Cascade world-action models (WAMs) use predicted visual futures to condition robot actions, but inherit costly iterative inference from diffusion-pret

local-aiarxiv-cs-ai

Safety

Decision Sufficiency of Learned Representation Interfaces for Safe Generative Control

arXiv:2610.27446v1 Announce Type: new Abstract: A controller can guide a language model toward safe and useful responses by choosing when to assist, ask for clarification, or refuse. When the controll

safetyarxiv-cs-lg

Applications

DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods

arXiv:2607.15879v3 Announce Type: replace-cross Abstract: Much empirical legal research depends on translating unstructured text into structured variables. In corporate governance research as elsewher

applicationsarxiv-cs-ai

Decoupling Action from Egocentric Observation for World Simulation

arXiv:2610.27946v1 Announce Type: new Abstract: Egocentric action transfer aims to decouple the semantic action from egocentric observations and reproduce them in new visual contexts, enabling scalabl

Deep learning-based multi-level airway collapse site localization on obstructive sleep apnea patients based on snoring sounds

arXiv:2408.16030v3 Announce Type: replace-cross Abstract: Objective This study evaluated deep learning models, specifically ResNet-50 and Audio Spectrogram Transformer (AST), to identify multi-level u

researcharxiv-cs-ai

Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation

arXiv:2602.08062v2 Announce Type: replace Abstract: Large Language Models have demonstrated remarkable capabilities in natural language understanding. However, they remain susceptible to malicious pro

Evolving Agent Interfaces

arXiv:2610.28601v1 Announce Type: new Abstract: Computer-use agents are limited by the interfaces humans give them. An agent may type a spreadsheet cell by cell when a single line of code would do, or

Tutorials

Foreword: Pre-Generation Prediction and Characterisation of LLM Test Failures using the Jacobian Lens

arXiv:2610.28187v1 Announce Type: cross Abstract: Testing LLM-based software is expensive: each input needs several sampled responses, each judged by a costly oracle. Further, every prompt or model ch

tutorialsarxiv-cs-lg

Safety

Global Security Blind Spots: Translation as a Safety Bypass in Low-Resource Languages

arXiv:2610.27304v1 Announce Type: cross Abstract: Large language models are deployed globally, yet safety alignment and evaluation remain concentrated in English: harmful requests refused in English c

safetyarxiv-cs-ai

Agents

Harness Self-Evolution for Long-Horizon Terminal Agents

arXiv:2610.27435v1 Announce Type: new Abstract: Long-horizon terminal agents may solve a task in one run yet fail across repeated runs. Stochastic errors can propagate through actions and context, cre

agentsarxiv-cs-ai

HealBench: A Fine-Grained Benchmark for Evaluating Psychological Comfort in Text-to-Image Generation

arXiv:2610.27516v1 Announce Type: cross Abstract: Despite advances in photorealism, semantic fidelity, and aesthetics, text-to-image generation and image editing remain understudied in a human-centere