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Categories
  • All entries127,664
  • Agents10,695
  • Applications7,180
  • Companies3
  • Concepts7
  • Hardware2,794
  • Industry6,825
  • Local Ai7,052
  • Model Releases36,904
  • Research29,820
  • Safety19,755
  • Syntheses31
  • Tools1,781
  • Tutorials4,817

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127,664Total entries
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13Categories

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Search: “models”

GridTimelineEvolution
95,135 results
Model Releases

Memory Attention

DGX agent

arXiv:2609.28399v1 Announce Type: new Abstract: Language models typically construct attention values from contextual hidden states, even when some of their content may be reusable across contexts. We

model-releasesarxiv-cs-lg
24 Sept 2026
Applications

NeuroRule: Making Black-Box Neural Networks Explainable through Rule-set Evolution

DGX agent

arXiv:2609.26841v1 Announce Type: cross Abstract: High-capacity neural network models have achieved state-of-the-art performance across diverse classification tasks, yet they frequently operate as bla

Human
DGX agent

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applicationsarxiv-cs-lg
24 Sept 2026
Model Releases

PBLH Estimation from Satellite Radiances via a Dual-Encoder Transformer

DGX agent

arXiv:2609.28286v1 Announce Type: new Abstract: Estimating the Planetary Boundary Layer Height (PBLH) from satellite observations is a challenging regression problem due to the indirect relationship b

model-releasesarxiv-cs-cv
24 Sept 2026
Model Releases

Qwen3.8-Flash-Next on 12GB VRAM - 65 tokens per second

DGX agent

A while ago I posted 15 tok/s output and 100-120 tok/s prompt processing with the IQ3_XXS quant on a 12GB RTX 5070 using llama.cpp. Since then I built my own inference engine for this one model and th

model-releasesr-localllama
24 Sept 2026
Safety

SlackDrive: Reclaiming Runtime Slack for Adaptive Driving Inference

DGX agent

arXiv:2609.28064v1 Announce Type: new Abstract: Driving world-action models improve planning by coupling multimodal reasoning with future prediction, but their growing inference cost increasingly conf

safetyarxiv-cs-ai
24 Sept 2026
Model Releases

Spatiality-Frequency Domain Video Forgery Detection System Based on ResNet-LSTM-CBAM and DCT Hybrid Network

DGX agent

arXiv:2609.27904v1 Announce Type: new Abstract: As information technology advances, digital content has become widely adopted across diverse fields such as news broadcasting, entertainment, commerce,

model-releasesarxiv-cs-cv
24 Sept 2026
Agents

Verifiable Hidden Dynamics Play: Generating Agentic RL Environments from Solved Mechanisms

DGX agent

arXiv:2609.27321v1 Announce Type: new Abstract: Language-model agents increasingly face long-horizon tasks with evolving state, interdependent decisions, and delayed outcomes. Scaling their training r

agentsarxiv-cs-ai
24 Sept 2026
Model Releases

VMMU: A Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark

DGX agent

arXiv:2508.13680v5 Announce Type: replace Abstract: We introduce VMMU, a Vietnamese Multitask Multimodal Understanding and Reasoning Benchmark designed to evaluate how vision-language models (VLMs) in

model-releasesarxiv-cs-cl
24 Sept 2026
Model Releases

Annual Earth-observation embeddings encode wildfire disturbance and support simplified burned area mapping

DGX agent

arXiv:2609.25731v1 Announce Type: new Abstract: Medium-resolution (10-30 m) burned area mapping is vital for monitoring wildfires and their impacts, but remains difficult to scale. Existing methods re

model-releasesarxiv-cs-cv
23 Sept 2026
Local Ai

Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?

DGX agent

arXiv:2609.26460v1 Announce Type: new Abstract: Anomaly detection systems are often trained using normal data alone, while model selection and evaluation typically require labeled anomalies. We study

local-aiarxiv-cs-lg
23 Sept 2026
Agents

Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves

DGX agent

arXiv:2605.11280v2 Announce Type: replace-cross Abstract: Fast surrogate models for expensive simulations are now essential across the sciences, yet they typically operate as black boxes. We present e

agentsarxiv-cs-ai
23 Sept 2026
Model Releases

Domain-Adaptive Pretraining Enhances Water Treatment Semantic Representation for Large-Scale Structured Literature Mining

DGX agent

arXiv:2609.26034v1 Announce Type: new Abstract: Water treatment research is expanding rapidly, but much of the knowledge acquired from this research remains scattered across unstructured literature. T

model-releasesarxiv-cs-cl
23 Sept 2026
Model Releases

DUMA-Bench: A Dual-Control Multi-Agent Benchmark for Evaluating LLM Agent Security

DGX agent

arXiv:2609.24662v1 Announce Type: new Abstract: LLM-based agents increasingly operate in environments where they interact with users, tools, and external systems. Yet most security evaluations assume

model-releasesarxiv-cs-ai
23 Sept 2026
Model Releases

Efficient Iterative Retrieval with Heterogeneous Batching

DGX agent

arXiv:2609.25405v1 Announce Type: cross Abstract: Modern information retrieval increasingly employs both embedding and generative models to handle complex queries. However, current serving systems suf

model-releasesarxiv-cs-cl
23 Sept 2026
Model Releases

EquivSVA: A Formally Verified Dataset of Behavioral Assertions Across Equivalent RTL Implementations

DGX agent

arXiv:2609.26751v1 Announce Type: new Abstract: Large language models are increasingly used to generate SystemVerilog Assertions from natural-language specifica- tions and register-transfer-level desi

model-releasesarxiv-cs-lg
23 Sept 2026
Model Releases

Evidence-gated multimodal parsing and vectorization of architectural floor plans

DGX agent

arXiv:2609.25615v1 Announce Type: new Abstract: Architectural floor plans remain a high-friction barrier to archive digitization and early design-model preparation because heterogeneous graphics encod

model-releasesarxiv-cs-cv
23 Sept 2026
Local Ai

Extending FunctionGemma for Practical On-Device Mobile Function Calling

DGX agent

arXiv:2609.25373v1 Announce Type: new Abstract: On-device assistants require function-calling models that map natural language to local system actions, but existing resources emphasize web APIs or nar

local-aiarxiv-cs-lg
23 Sept 2026
Model Releases

Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach

DGX agent

arXiv:2609.25082v1 Announce Type: new Abstract: Quantum machine learning (QML) is increasingly recognized as one of the most promising near-term applications of quantum computing, viewed as a next-fro

model-releasesarxiv-cs-lg
23 Sept 2026
Agents

Few-Shot Demonstrations Elicit the Use of In-Context World Representations in LLMs

DGX agent

arXiv:2609.24352v1 Announce Type: new Abstract: Large language models (LLMs), when acting as agents, are expected to take observed data in context, infer the latent state space underlying the world, a

agentsarxiv-cs-ai
23 Sept 2026
Model Releases

FinInteract: Benchmarking Clarification and Intent Integration in Ambiguous Financial Question Answering

DGX agent

arXiv:2609.24002v1 Announce Type: new Abstract: Large language model agents increasingly answer financial questions by searching regulatory filings. Such questions are often deceptively under-specifie

model-releasesarxiv-cs-ai
23 Sept 2026
Model Releases

From Experts to Sub-experts: Fine-grained Parameter-Efficient Fine-Tuning for MoE LLMs

DGX agent

arXiv:2609.25655v1 Announce Type: new Abstract: As large language models (LLMs) scale rapidly, dense full-parameter adaptation becomes increasingly expensive, motivating sparse and modular architectur

model-releasesarxiv-cs-lg
23 Sept 2026
Model Releases

From Inference Engine to Inference Control Plane: Connecting vLLM, llm-d, and the Evolution of Efficient Distributed LLM Serving

DGX agent

arXiv:2609.23130v1 Announce Type: new Abstract: Large language model (LLM) inference is evolving from an engine-local optimization problem into a distributed control problem involving reusable state,

model-releasesarxiv-cs-ai
23 Sept 2026
Model Releases

Hierarchical Sparse Bayesian Multitask Learning for Disease Prediction in Pooled Microbiome Studies

DGX agent

arXiv:2502.02552v2 Announce Type: replace Abstract: This paper proposes a hierarchical Bayesian multitask learning model that is applicable to the general multi-task binary classification learning pro

model-releasesarxiv-cs-lg
23 Sept 2026
Model Releases

Latent Commonality Expectation-Maximisation for Box-supervised Tree Crown Instance Segmentation

DGX agent

arXiv:2609.26549v1 Announce Type: new Abstract: Individual tree crown segmentation from aerial imagery underpins tree-level carbon accounting, biodiversity, and restoration monitoring at landscape sca

model-releasesarxiv-cs-cv
23 Sept 2026
Model Releases

LIMIT: Less Is More for Instruction Tuning in Text-to-SQL

DGX agent

arXiv:2609.24186v1 Announce Type: new Abstract: Large language models have achieved remarkable progress on Text-to-SQL through reasoning-enhanced fine-tuning, yet existing approaches predominantly rel

model-releasesarxiv-cs-ai
23 Sept 2026
Model Releases

Magnitude Profile Pruning: Calibration-Free Structured Attention Head Removal for Transformer Compression

DGX agent

arXiv:2609.26177v1 Announce Type: new Abstract: Structured pruning of attention heads provides a hardware-friendly way to compress Transformer language models. However, existing methods for measuring

model-releasesarxiv-cs-cl
23 Sept 2026
Model Releases

MCPGen: Benchmarking LLMs on Executable MCPWorkflow Development

DGX agent

arXiv:2609.23925v1 Announce Type: cross Abstract: We study whether LLMs can produce executable workflow artifacts that remain consistent across graph structure, tool implementation, schema bindings, a

model-releasesarxiv-cs-ai
23 Sept 2026
Model Releases

Modular Norm RandOpt: Population-Efficient Ensembling through Architecture-Aware Perturbations

DGX agent

arXiv:2609.25745v1 Announce Type: new Abstract: RandOpt samples weight-perturbed language models and ensembles top-ranked candidates through plurality voting, but its global perturbation scale ignores

model-releasesarxiv-cs-lg
23 Sept 2026
Local Ai

Partner-Specific Affective Precision in Social Active Inference

DGX agent

arXiv:2609.24876v1 Announce Type: new Abstract: In multi-agent social settings, model reliability varies across relationships. Beyond inferring what others will do, an agent must calibrate how confide

local-aiarxiv-cs-ai
23 Sept 2026
Model Releases

RankCert: When Can Simulated Learners Safely Select an AI Tutor? Robust Decision Certification Under Structural Uncertainty

DGX agent

arXiv:2609.26069v1 Announce Type: cross Abstract: Simulation-based tutor selection can be unstable when predictively adequate learner models imply different policy rankings. RankCert certifies one of

model-releasesarxiv-cs-lg
23 Sept 2026
Model Releases

Robust, Estimator-Agnostic Dynamic 3DGS Compression

DGX agent

arXiv:2609.25633v1 Announce Type: cross Abstract: Dynamic 3D Gaussian splats (3DGS) model time-varying scenes using a separate Gaussian set per frame. While neighboring video frames are highly correla

model-releasesarxiv-cs-cv
23 Sept 2026
Model Releases

Same Chart, Different Story: Bias in Vision-Language Chart Interpretation

DGX agent

arXiv:2609.26210v1 Announce Type: new Abstract: Vision-language models (VLMs) are increasingly used to interpret charts and generate natural-language explanations for socially consequential data. Howe

model-releasesarxiv-cs-cl
23 Sept 2026
Model Releases

stuntd: a local Jev-compatible server on Laya that learns from your own traffic (no API key needed)

DGX agent

What it is. stuntd is a local proxy for typed LLM decisions: choice, yes/no, score. Your app keeps calling its provider through it. stuntd records the decisions, trains a small head on top of Laya (th

model-releasesr-localllama
23 Sept 2026
Model Releases

Toward Auditable and Calibrated AI for Dementia-Related Crash Severity Prediction: A Selective Deferral Framework to Support Human Review

DGX agent

arXiv:2609.22694v1 Announce Type: new Abstract: Public crash databases increasingly support automated safety analysis, but crash severity prediction remains difficult to translate into public-sector d

model-releasesarxiv-cs-ai
23 Sept 2026
Model Releases

Towards Adaptive Federated Graph Clustering: A Global Community-aware Contrastive Learning-based Approach

DGX agent

arXiv:2609.26063v1 Announce Type: new Abstract: Federated graph learning (FGL) enables multiple clients to collaboratively train graph models without sharing their private graph data, providing a prom

model-releasesarxiv-cs-lg
23 Sept 2026
Research

TRACE: Trajectory Representation and Consistency Estimation for AI-Generated Video Detection

DGX agent

arXiv:2609.25775v1 Announce Type: new Abstract: Recent advances in generative video models have enabled the synthesis of visually realistic content, posing significant challenges to synthetic video de

researcharxiv-cs-cv
23 Sept 2026
Model Releases

TRACE: Transparent Retrieval for Abstract Concept Evaluation

DGX agent

arXiv:2609.26168v1 Announce Type: cross Abstract: Recent work reports that vision--language models (VLMs) struggle to establish and maintain stable reference in repeated reference games. Rather than a

model-releasesarxiv-cs-cv
23 Sept 2026
Model Releases

Truth for Believable AI: Expressed Doubt, Provenance, and Belief Revision as an Engineerable Stance

DGX agent

arXiv:2609.26035v1 Announce Type: new Abstract: Conversational agents often express answers in a uniformly confident register. We test whether expressed uncertainty, provenance-aware assertion, and ex

model-releasesarxiv-cs-cl
23 Sept 2026
Model Releases

VLM-in-Sandbox: Visual Workspaces for Agentic Visual Reasoning

DGX agent

arXiv:2609.24362v1 Announce Type: new Abstract: Sandboxed computer environments support multi-step reasoning with tools, executable programs, and persistent files, yet their extension from language mo

model-releasesarxiv-cs-ai
23 Sept 2026
Model Releases

Adapting Tree-Structured Speculative Decoding to DeepSeek-V4 for Efficient Inference

DGX agent

arXiv:2609.24698v1 Announce Type: new Abstract: Repeated execution of the target model during autoregressive decoding is a major source of LLM inference latency. Unlike linear speculation, which follo

model-releasesarxiv-cs-cl
22 Sept 2026
Model Releases

AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning

DGX agent

arXiv:2609.23084v1 Announce Type: new Abstract: Over-the-air federated learning lets edge devices transmit their local updates simultaneously, reducing the communication overhead. The resulting wavefo

model-releasesarxiv-cs-lg
22 Sept 2026
Model Releases

Anthropic says Opus 5.5 matches Fable 5.1 'on most tasks' while costing about 40% less to run than Opus 5; Opus 5.5 costs 4/1M input and 20/1M output tokens (Matthias Bastian/The Decoder)

DGX agent

Matthias Bastian / The Decoder: Anthropic says Opus 5.5 matches Fable 5.1 “on most tasks” while costing about 40% less to run than Opus 5; Opus 5.5 costs 4/1M input and 20/1M output tokens — Ask about

model-releasestechmeme
22 Sept 2026
Model Releases

As part of our efforts to pace the frontier, we’re committed to supporting independent assessments with deep levels of access across trainin…

DGX agent

As part of our efforts to pace the frontier, we’re committed to supporting independent assessments with deep levels of access across training, evaluation, and deployment. That access should enable thi

model-releasesopenai--x
22 Sept 2026
Model Releases

Authority-Preserving Evaluation of Medical Vision-Language Assistants

DGX agent

arXiv:2609.22302v1 Announce Type: new Abstract: Medical vision-language models can propose how urgently a skin lesion should be reviewed, but the local service retains authority to accept or replace t

model-releasesarxiv-cs-cv
22 Sept 2026
Model Releases

Beyond Accuracy and Surface Fluency: Risk-Sensitive Evaluation of LLMs for Legal Clause Generation

DGX agent

arXiv:2609.22127v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to draft contractual language, yet conventional accuracy or preference-based evaluations are poorly m

model-releasesarxiv-cs-cl
22 Sept 2026
Model Releases

Beyond Point Prediction: Artificial Representative Trees with Uncertainty

DGX agent

arXiv:2609.24528v1 Announce Type: cross Abstract: Random forests (RFs) predict well but are opaque, whereas single decision trees are interpretable but unstable. Artificial representative trees (ARTs)

model-releasesarxiv-cs-lg
22 Sept 2026
Model Releases

Can Coding Agents Reproduce Official Statistics? Metadata, Retry Budget and the Limits of Execution Feedback in a Controlled Eurostat Benchmark

DGX agent

arXiv:2609.22222v1 Announce Type: cross Abstract: Large language models can generate executable data-analysis code, but successful execution is not equivalent to a valid official-statistics result. Th

model-releasesarxiv-cs-cl
22 Sept 2026
Model Releases

ChartJudgeBench: Evaluating LMM Judges for Chart-to-Code Generation

DGX agent

arXiv:2609.24210v1 Announce Type: new Abstract: Building strong chart-to-code systems increasingly relies on reinforcement learning, whose effectiveness depends critically on the quality of the reward

model-releasesarxiv-cs-cv
22 Sept 2026
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