Search: “model-releases”

Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness

arXiv:2609.28105v1 Announce Type: cross Abstract: Multi-center clinical studies and biomedical research collaborations increasingly seek to utilize data across centers to build models that generalize

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Model Releases

FedIncome: Federated Learning for Income Estimation in Digital Lending Under Data Sovereignty Constraints

DGX agent

arXiv:2609.27654v1 Announce Type: cross Abstract: Verified income is often unavailable in digital loan applications, forcing lenders to rely on reported income and potentially leading to over-lending,

model-releasesarxiv-cs-lg

24 Sept 2026

Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

arXiv:2609.28395v1 Announce Type: new Abstract: Fine-tuning large language models on parallel data improves translation quality but can cause catastrophic forgetting. Mitigation methods are generally

FLEET: From Logits Entropy to Enhanced Trajectories in Text Generation

arXiv:2609.27657v1 Announce Type: cross Abstract: Solutions based on large language models (LLMs) often rely on temperature sampling to improve accuracy and stability by aggregating multiple samples f

FLINT: Fast Lightweight Inference for Traversability

arXiv:2609.26857v1 Announce Type: cross Abstract: Navigation in off-road conditions is challenging due to the lack of structure. There is no fixed vocabulary for what is traversable. The traversabilit

FreedomIntelligence/HuatuoGPT-3-27B · Hugging Face

from FreedomIntelligence: HuatuoGPT-3-27B is a medical LLM built on Qwen3.8-27B with One-stage Policy Optimization (OnePO). OnePO adapts language models to medicine in a single reinforcement-learning

From LiDAR Maps to Visual Localization: Unified Visual Association for Robust Point-Line-Plane Pose Estimation

model-releasesarxiv-cs-ro

arXiv:2609.27363v1 Announce Type: new Abstract: Camera localization in a prior LiDAR map provides a persistent geometric reference for long-term robotic navigation, yet remains challenging because of

Gavin Baker owned 15% of Nvidia and 10% of Tesla sub-$2 billion. His biggest regret won't be either. It'll be the price you'll pay for Space…

model-releaseselon-musk--x

Gavin Baker owned 15% of Nvidia and 10% of Tesla sub-2 billion. His biggest regret won't be either. It'll be the price you'll pay for SpaceX after the IPO. 'A company like this comes once in your care

Gemini 3.8 Live with Live Avatar gives Google’s AI a face

model-releasesthe-verge-ai

Google's new Gemini 3.8 Live update lets users have conversations with the model while watching an animated AI persona respond in real time. The 'Live Avatar' will lip-sync and show different facial e

Gemini 4 is almost ready, says new Google DeepMind chief

model-releasesthe-verge-ai

Google is reportedly nearing the launch of its long awaited Gemini 4 model, after dawdling behind rival developers on flagship AI releases. Speaking with The Information during his first media appeara

Geometry-Conditioned Visual Place Recognition in Natural Environments

arXiv:2609.27370v1 Announce Type: cross Abstract: Visual Place Recognition (VPR) in natural environments remains challenging due to repetitive vegetation, sparse distinctive landmarks, and substantial

GLASS: Architecture-Tuned, Composable, Device-Side Linear Algebra for Edge Robotics and Beyond

model-releasesarxiv-cs-ro

arXiv:2609.28179v1 Announce Type: new Abstract: GPU robotics lacks the reusable numerical infrastructure of mature CPU stacks, instead relying on compiler frameworks that introduce overhead or repeate

GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting

arXiv:2601.05353v3 Announce Type: replace Abstract: Accurate blood glucose forecasting using continuous glucose monitoring (CGM) data can support the early prediction of dysglycemic risk. However, cur

Google is a Leader in the 2026 Gartner Magic Quadrant for Container Management

model-releasesgoogle-cloud-ai

We’re excited and proud to share that Gartner has recognized Google as a Leader for the fourth year in a row in the 2026 Gartner® Magic Quadrant™ for Container Management, based on its Completeness of

Google is testing Call for Me, which lets Gemini call businesses on behalf of users, initially for Pixel 11 users with a Gemini subscription in the US (Sarah Perez/TechCrunch)

Sarah Perez / TechCrunch: Google is testing Call for Me, which lets Gemini call businesses on behalf of users, initially for Pixel 11 users with a Gemini subscription in the US — With AI agents like M

model-releasestechmeme

Google launches two benchmark-topping speech generation models

model-releasessiliconangle

Google LLC today made two new text-to-speech models, Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, available through its cloud platform. The algorithms have highly similar application programmin

Google updates Gemini 3.8 Live with Live Avatar, an animated AI persona that lip-syncs and shows different facial expressions, for Gemini Enterprise customers (Emma Roth/The Verge)

Emma Roth / The Verge: Google updates Gemini 3.8 Live with Live Avatar, an animated AI persona that lip-syncs and shows different facial expressions, for Gemini Enterprise customers — Google's Live Av

model-releasestechmeme

Groundbench: Multi-Resolution Polygon Grounding Exposes the Geometry Gap in Vision-Language Models

arXiv:2609.27821v1 Announce Type: new Abstract: Bounding-box scores on RefCOCO-family grounding leave little room to distinguish frontier vision-language systems, yet boxes discard object shape. We in

Guides That Cause Actions: An Offline Study of Guide-Action Mutual Reinforcement in Multimodal Web Agents

arXiv:2609.27353v1 Announce Type: new Abstract: Web agents are usually evaluated in live environments, where environment state and judge models drift between runs, so the same checkpoint rarely reprod

Harness as a Language: A Minimalist Agent Framework With Maximal Expressivity

arXiv:2609.26891v1 Announce Type: new Abstract: Modern language-model agents are built around the extit{agent loop}, where the LLM is placed in an environment exposing a set of tools, and the LLM has

How Google Cloud Networking Supports Your Fluid Compute Choices for AI Workloads

model-releasesgoogle-cloud-ai

The availability of resources for AI workloads can be challenging across the industry, especially accelerators. This can slow your AI workload deployment if it’s built around a specific type of accele

How growing Latin American midsize businesses are building in the AI era

model-releasesgoogle-cloud-ai

Latin America’s small and medium-sized businesses are the heartbeat of the region's economy — accounting for more than 60% of total employment in the region, according to United Nations estimates. And

How Much Were You Told? Measuring External Information in Peer Reviews

arXiv:2609.28041v1 Announce Type: new Abstract: Conference policies distinguish using Large Language Models (LLMs) to polish one's own review from delegating the critique, but current Artificial Text

I built a desktop benchmark for local Ollama models — TTFT, tok/s, VRAM, with a HuggingFace GGUF catalogue

Built this because I got tired of guessing whether a model would fit in my 6GB VRAM before downloading it, and because ollama.com's library doesn't let you sort by size. What it does: - Benchmarks Oll

model-releasesr-ollama

I built an open-weight alternative to Jev / TypeSafe - introducing OpenJudgement-4B (early preview)

I’m releasing OpenJudgement-4B-Preview, an experimental Qwen-based model fine-tuned on custom datasets for classification, scoring and true/false judgments. It scores answer options directly, and Pyth

I-SplineFlow: Learning Monotone Spline Stochastic Interpolant Schedulers for Few-Step Generation

arXiv:2609.27963v1 Announce Type: new Abstract: Few-step generation with pretrained diffusion and flow models can be accelerated by lightweight training that optimizes the sampling trajectory rather t

I tweeted about this a year ago when it came to Columbus. This is how it was advertised vs. what it was like to go. Whoever is handling NIL …

model-releasesanthropic--x

I tweeted about this a year ago when it came to Columbus. This is how it was advertised vs. what it was like to go. Whoever is handling NIL appearances for Downs and Smith should have been looking out

ICM: Intra-class Mixing for Domain Adaptation in Adverse Weather

arXiv:2609.27533v1 Announce Type: new Abstract: Unsupervised domain adaptation (UDA) for semantic segmentation remains challenging under adverse weather conditions because severe appearance changes en

I'm new and it's kinda overwhelming to get into

Hi, sorry if this doesn't belong here. Getting to the point basically, I've been using online-only AI like GPT/Gemini since 2022, and have been interested in local models but am clueless overall. Yes

I'm trying to post-train AliceAI-Foundation-80B-A3B-Base myself

Just wanted to share with someone - don't have much to report yet. I am interested in this new AliceAI model and have been wanting to make a community impact for a while - and releasing an initial age

Improving LLM-based Autonomous Web Agents with Filtering

arXiv:2609.27770v1 Announce Type: new Abstract: Autonomous web agents, powered by Large Language Models (LLMs), have garnered significant attention for automating various web-based tasks with multi-st

InGuard: Towards Generalized Inner Guardrail for Safe Text-to-Image Generation

arXiv:2609.27620v1 Announce Type: cross Abstract: Modern text-to-image (T2I) models generate high-quality images from arbitrary user prompts, yet they can just as easily produce not-safe-for-work (NSF

Interesting new paper from Google DeepMind. Studies agents that follow bad advice from users. Users often suggest a fix that sounds right an…

Interesting new paper from Google DeepMind. Studies agents that follow bad advice from users. Users often suggest a fix that sounds right and is wrong. XYEval adds one confident, misleading hint to ta

model-releasesdair-ai--x

Inverse Problems Conditioned on Observation Ensembles: Applications and Methods

arXiv:2601.22029v2 Announce Type: replace Abstract: We introduce a new multivariate statistical problem that we refer to as the Ensemble-conditioned Inverse Problem (EIP). The aim of EIP is to invert

Invisible in Space, Visible in Time: Motion Vision CAPTCHA against GUI Agents

arXiv:2609.27461v1 Announce Type: new Abstract: Most existing visual CAPTCHAs remain spatially solvable: the required information is exposed by static appearance, local structure, and interface state.

JEV almost dead: CLM vs JEV

Original post: https://www.reddit.com/r/LocalLLaMA/comments/1woscea/contrastive_language_models/ (sorry I felt it wasn't giving CLM the highlight it deserves) What it is: a new projection head for Qwe

KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators

arXiv:2609.27216v1 Announce Type: cross Abstract: Topology optimization (TO) remains computationally intensive due to repeated finite element analysis (FEA) evaluations required at each iteration. Whi

Learn How to Act from Your Own Interactions: On-Policy Self-Distillation for GUI Agents

arXiv:2609.27307v1 Announce Type: new Abstract: Graphical User Interface (GUI) agents enable the fulfillment of complex user instructions through multi-turn interactions with software environments, re

Learning Holographic Reduced Representations with Clifford Variational Autoencoders

arXiv:2609.28409v1 Announce Type: cross Abstract: Vector Symbolic Algebras project data structures into a hyperdimensional vector space through the application of their vector algebras to randomly gen

Learning Local Heterogeneity and Cross-Region Context for Large-Scale Traffic Forecasting

arXiv:2609.27637v1 Announce Type: cross Abstract: Traffic flow forecasting is essential to intelligent transportation systems. Large-scale traffic forecasting requires jointly modeling local spatial d

Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation

arXiv:2609.27217v1 Announce Type: cross Abstract: We address adaptive computation in 3D medical image segmentation: instead of designing another backbone, we ask how much spectral mixing each network

Learning Stiffness Dependent Fluid Structure Dynamics from Coarse Flow Representations

arXiv:2609.26816v1 Announce Type: cross Abstract: This paper develops a data-driven framework for long-term prediction of fluid--structure interaction (FSI) dynamics, focusing on the flow-induced vibr

Learning the Cost of Reliable Inference

arXiv:2609.28322v1 Announce Type: new Abstract: Benchmarking and routing platforms increasingly act as intermediaries connecting large language model providers with end-users. However, providers on th

Learning When Not to Listen: Selective Anti-Interference Pretraining for Language Models

arXiv:2609.27925v1 Announce Type: new Abstract: Language models can over-condition on irrelevant preceding text: predictions already supported by local context may still change when distant, unrelated

Less Language, More Latents: Annotation-Efficient VLAs for Driving

arXiv:2609.27747v1 Announce Type: cross Abstract: Vision-language-action models (VLA) promise human-steerable autonomous driving, but their training is bottlenecked by the scarcity of frames paired wi

LexLattice: Multilingual Extractive Summarization via Neural Cellular Automata on Document Hierarchies

arXiv:2609.27032v1 Announce Type: new Abstract: Faithfulness is a central concern in legal text summarization, which motivates extractive approaches that select verbatim content traceable to its sourc

LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder

arXiv:2609.28327v1 Announce Type: new Abstract: We present LightMIS, a scalable family of ultra-lightweight convolutional networks for 2D binary medical image segmentation without a learned stage-wise

Limiting-Kernel Q(lambda): Bridging Short and Long Horizons

arXiv:2609.27741v1 Announce Type: new Abstract: In value-based reinforcement learning, improving the accuracy of policy evaluation has been shown to improve downstream policy optimization performance.