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  • 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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Search: “deployment”

GridTimelineEvolution
12,448 results
Safety

Competitive Market Behavior of LLMs

DGX agent

arXiv:2609.02580v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as economic agents, yet there is little evidence whether LLM agents are suited for participatin

safetyarxiv-cs-ai
3 Sept 2026
Agents

Context Inference Attacks Without Jailbreaks

DGX agent

arXiv:2609.01663v1 Announce Type: cross Abstract: Agentic AI systems are increasingly deployed to process sensitive data at inference time, such as healthcare records or financial documents assembled

DGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
agentsarxiv-cs-lg
3 Sept 2026
Safety

Debias-SparseGPT: Bias-Aware Pruning for Large Language Models

DGX agent

arXiv:2609.02496v1 Announce Type: new Abstract: Model compression techniques such as pruning and quantization facilitate the efficient deployment and acceleration of Large Language Models (LLMs). Howe

safetyarxiv-cs-cl
3 Sept 2026
Model Releases

DESA-TTA: Dynamic EMA and Source Anchoring for Test-Time Adaptation

DGX agent

arXiv:2609.01795v1 Announce Type: new Abstract: Vision-language object detectors (VLODs) achieve strong zero-shot performance but remain vulnerable to distribution shifts during deployment. Mean-teach

model-releasesarxiv-cs-cv
3 Sept 2026
Research

Detecting Object Hallucinations in Large Vision-Language Models via Cross-Modal Attention Drifts and Mask-Based Verification

DGX agent

arXiv:2609.02028v1 Announce Type: new Abstract: Despite recent advances in large vision-language models (LVLMs), object hallucination remains a major barrier to their reliable deployment. Existing det

researcharxiv-cs-cv
3 Sept 2026
Model Releases

DPA: Decoupling Product-Agnostic Anomaly Representations for Zero-shot Anomaly Generation

DGX agent

arXiv:2609.02075v1 Announce Type: new Abstract: Industrial anomaly detection benefits from anomaly samples, yet newly deployed products typically provide only normal images, making anomaly samples dif

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

EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models

DGX agent

arXiv:2609.01611v1 Announce Type: new Abstract: Frontier large language models can often recognize when they are being evaluated, a capability known as evaluation awareness. If models behave different

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

From High-Dimensional Spaces to Verifiable ODD Coverage for Safety-Critical AI-based Systems

DGX agent

arXiv:2604.02198v2 Announce Type: replace Abstract: While Artificial Intelligence (AI) offers transformative potential for operational performance, its deployment in safety-critical domains such as av

model-releasesarxiv-cs-ai
3 Sept 2026
Hardware

From Multi-Fisheye Sensing to Panoramic Perception: A Parallax-Aware Onboard Platform for Ultra-Low-Altitude UAVs

DGX agent

arXiv:2609.02319v1 Announce Type: new Abstract: Ultra-low-altitude unmanned aerial vehicles (UAVs) require surround vision near buildings, vegetation, and other obstacles. We present a parallax-aware

hardwarearxiv-cs-ro
3 Sept 2026
Applications

Generating Medical Image Counterfactuals using Causal Explanations

DGX agent

arXiv:2609.02697v1 Announce Type: new Abstract: Deep learning models have achieved impressive performance in medical image diagnosis, yet their deployment in clinical settings remains constrained by l

applicationsarxiv-cs-cv
3 Sept 2026
Model Releases

H3DNAS: Hardware-Aware ONNX-Native 3D Point Cloud Model Compression

DGX agent

arXiv:2609.02684v1 Announce Type: new Abstract: Deploying 3D point cloud models on edge hardware such as the NVIDIA Jetson Orin Nano is severely constrained by compute and memory budgets. Existing com

model-releasesarxiv-cs-lg
3 Sept 2026
Safety

Hardware-Accelerated Instance Segmentation for Resource-Constrained Space Robotics with Criticality Analysis

DGX agent

arXiv:2609.02219v1 Announce Type: cross Abstract: Autonomous lunar missions require real-time per- ception under three coupled constraints: extreme low-light conditions, limited onboard compute, and r

safetyarxiv-cs-cv
3 Sept 2026
Local Ai

Learning to Track from Privileged Target Appearances

DGX agent

arXiv:2609.02471v1 Announce Type: new Abstract: Target templates define what a visual tracker searches for, yet the templates available at inference trade off localization certainty with appearance fr

local-aiarxiv-cs-cv
3 Sept 2026
Local Ai

MeanField Surrogate Modeling for Scalable Runtime Scheduling of Concurrent Heterogeneous AI Inference on Shared GPUs

DGX agent

arXiv:2609.02109v1 Announce Type: cross Abstract: Deploying heterogeneous AI models concurrently on a shared GPU introduces resource contention that complicates runtime scheduling. While surrogate mod

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

On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers

DGX agent

arXiv:2609.01947v1 Announce Type: cross Abstract: Compact instruction-following rerankers are attractive for deployment, but conventional distillation pipelines typically train students by offline imi

model-releasesarxiv-cs-ai
3 Sept 2026
Research

Private Computation Space: Experience with Trusted Multi-Cluster Federated Learning for Agriculture

DGX agent

arXiv:2609.01667v1 Announce Type: cross Abstract: Artificial Intelligence has shown to help improve agricultural practices, yet adoption remains limited: 69% of U.S. farmers have privacy concerns with

researcharxiv-cs-lg
3 Sept 2026
Model Releases

Probing Cultural Signals in Large Language Models through Author Profiling

DGX agent

arXiv:2603.16749v3 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed in applications with societal impact, raising concerns about the cultural biases they encode.

model-releasesarxiv-cs-cl
3 Sept 2026
Applications

RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection

DGX agent

arXiv:2609.02497v1 Announce Type: cross Abstract: Zero-shot graph anomaly detection seeks to deploy a detector trained on source graphs to unseen, unlabeled targets, yet domain shift can make source-d

applicationsarxiv-cs-ai
3 Sept 2026
Safety

Signal or Noise? Auditing Rotation-Induced Saliency Drift in Medical and Aerial Imaging

DGX agent

arXiv:2609.02224v1 Announce Type: cross Abstract: Post-hoc saliency maps such as Grad-CAM are increasingly used to audit why a deployed vision model made a decision, yet the heatmap drifts when the in

safetyarxiv-cs-ai
3 Sept 2026
Model Releases

Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control

DGX agent

arXiv:2609.01676v1 Announce Type: new Abstract: Reinforcement learning achieves strong traffic signal control performance in simulation, yet policies trained in simulators often fail once deployed in

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

SocialMaze: A Benchmark for Evaluating and Enhancing Social Reasoning in Large Language Models in Complex Social Environments

DGX agent

arXiv:2505.23713v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly deployed in socially grounded applications, where success requires interpreting context, inferring oth

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

Video-Based Palm-Vein Authentication under Challenging Conditions

DGX agent

arXiv:2609.02776v1 Announce Type: new Abstract: Palm-vein biometrics are increasingly used for secure, contactless authentication. Yet real-world deployment exposes them to surface noise (sweat, dirt)

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

AgentProv: Auditing Agentic LLM API Providers via Tool-use Policy Probes

DGX agent

arXiv:2609.00052v1 Announce Type: cross Abstract: Commercial LLM APIs advertise a specific foundation model, but the served backbone may be silently substituted, quantized, or wrapped, for example to

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

Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation

DGX agent

arXiv:2609.01604v1 Announce Type: new Abstract: LLM-based evaluators of natural language generation (NLG) quality are widely deployed as scoring tools and as automated training signals, yet the intern

model-releasesarxiv-cs-cl
2 Sept 2026
Agents

Detecting Hidden Behaviors in LLMs via Activation-matched Finetuning

DGX agent

arXiv:2609.00351v1 Announce Type: cross Abstract: Large language models can hide hidden behaviors that activate only under narrow conditions, such as backdoor triggers, sleeper-agent deployment cues,

agentsarxiv-cs-ai
2 Sept 2026
Local Ai

Enoki: Efficient Multi-Level Hallucination Detection

DGX agent

arXiv:2609.00581v1 Announce Type: new Abstract: Ensuring factuality remains a critical challenge for deploying LLMs in high-stakes settings. Existing hallucination detectors usually operate at a singl

local-aiarxiv-cs-cl
2 Sept 2026
Model Releases

Exploring Collaboration between a language and a non-language agent

DGX agent

arXiv:2609.00474v1 Announce Type: cross Abstract: LLMs are increasingly deployed as orchestrators that coordinate specialized subagents to solve complex tasks through natural language. However, in man

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

FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data

DGX agent

arXiv:2508.04698v2 Announce Type: replace Abstract: LLM-powered conversational assistants are often deployed in a one-size-fits-all manner, which fails to accommodate individual user preferences. Rece

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

HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?

DGX agent

arXiv:2609.01437v1 Announce Type: cross Abstract: As agents move from research prototypes to deployed tools, their capability increasingly depends on model-external execution infrastructure, commonly

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

HBQ: Hierarchical Scaling Block Quantization with Hardware-Efficiency-Aware Design for Accurate LLM Inference

DGX agent

arXiv:2609.00450v1 Announce Type: cross Abstract: Block Quantization (BQ) is a promising approach for efficient deployment of large language models (LLMs), enabling low-precision computation with cont

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

Incremental Risk Assessment of Progressive Elder Financial Scams via Instruction-Tuned Small Language Models

DGX agent

arXiv:2609.00005v1 Announce Type: new Abstract: Financial scams targeting older adults increasingly occur through text and voice channels such as email, SMS, and phone calls, unfolding over multiple c

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

MeshSplatBench: A Unified Benchmark for Triangle-Based Neural Rendering

DGX agent

arXiv:2609.01306v1 Announce Type: cross Abstract: Triangle-based neural rendering bridges neural scene representations and conventional graphics pipelines by optimizing explicit geometric primitives c

model-releasesarxiv-cs-cv
2 Sept 2026
Research

Neurosymbolics for Data Engineering: Achieving Long Context Token Reduction Without Finetuning

DGX agent

arXiv:2609.00367v1 Announce Type: cross Abstract: Large Language Models are increasingly deployed for sophisticated data engineering tasks such as generating structured queries from natural language,

researcharxiv-cs-ai
2 Sept 2026
Agents

Obstacle-Aware Autonomous Coverage and Navigation for Outdoor Robots

DGX agent

arXiv:2609.01384v1 Announce Type: new Abstract: Long-duration outdoor coverage with autonomous platforms remains challenging beyond classical planning: deployments face localization drift in open spac

agentsarxiv-cs-ro
2 Sept 2026
Model Releases

PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance

DGX agent

arXiv:2609.01188v1 Announce Type: new Abstract: Large Language Models (LLMs) are revolutionizing digital communication by powering conversational agents deployed across domains such as customer servic

model-releasesarxiv-cs-cl
2 Sept 2026
Research

Probabilistic Model Checking of Autoregressive Neural Sequence Models

DGX agent

arXiv:2609.00838v1 Announce Type: cross Abstract: Test-set accuracy is silent on two issues that matter when deploying autoregressive neural sequence models: how much probability mass the system under

researcharxiv-cs-ai
2 Sept 2026
Model Releases

REAL-Q: E2E LLM Quantization via Dynamic Gradient Descent

DGX agent

arXiv:2609.00049v1 Announce Type: cross Abstract: Post-training quantization (PTQ) is essential for deploying large language models (LLMs) under strict resource constraints. State-of-the-art PTQ metho

model-releasesarxiv-cs-ai
2 Sept 2026
Safety

Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers

DGX agent

arXiv:2609.01567v1 Announce Type: new Abstract: Vision-Language Models (VLMs) provide useful priors for interactive decision-making, but using them directly as policies is expensive and brittle: they

safetyarxiv-cs-ai
2 Sept 2026
Model Releases

VoiceLongMemEval: Do Assistants Remember How You Sounded?

DGX agent

arXiv:2609.00570v1 Announce Type: new Abstract: With the growing scale of multi-agent architectures and large language models, deployed AI assistants are increasingly tasked with reasoning over long,

model-releasesarxiv-cs-ai
2 Sept 2026
Safety

WiSDoM: Wireless Sparse Decision Transformer with Mixture-of-Experts for Multi-Task Mobile Network Optimization

DGX agent

arXiv:2609.00284v1 Announce Type: cross Abstract: Emerging 6G wireless networks are expected to operate across diverse deployment scenarios, where variations in network topology, user mobility, traffi

safetyarxiv-cs-ai
2 Sept 2026
Applications

Zero Hallucination, by Construction: Hallucination-Aware Layered Oversight for Trustworthy Enterprise AI

DGX agent

arXiv:2607.17883v2 Announce Type: replace-cross Abstract: Enterprises will not deploy AI agents they cannot trust, and the most-cited reason for distrust is hallucination: confident, fluent output tha

applicationsarxiv-cs-ai
2 Sept 2026
Model Releases

A Degradation-Tolerance Benchmark for Camera-Only End-to-End Driving

DGX agent

arXiv:2608.29005v1 Announce Type: new Abstract: Camera-only end-to-end (E2E) driving models are nearing deployment, where the camera stream is degraded by blur, noise, low light, weather, frame loss,

model-releasesarxiv-cs-ro
1 Sept 2026
Agents

AdaptAV: Continuous Adaption of Vision Models for Autonomous Vehicles Using Cloud-based Oracle

DGX agent

arXiv:2608.28673v1 Announce Type: new Abstract: Deploying vision perception models in autonomous vehicles requires that we prioritize inference speeds, resulting in a model with shallower architecture

agentsarxiv-cs-cv
1 Sept 2026
Model Releases

ALTSTEER: Selective Safety Steering for Moving Beyond Hard Refusals to Constructive Alternatives

DGX agent

arXiv:2608.30197v1 Announce Type: new Abstract: Safety alignment is essential for deploying large language models, requiring systems to prevent harmful compliance while preserving helpfulness on benig

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

Beyond Fluency: A Rubric-Based Benchmark for Evaluating Saudi Dialect and Cultural Competence in Large Language Models

DGX agent

arXiv:2608.29990v1 Announce Type: cross Abstract: Large language models are increasingly deployed in Arabic-speaking markets, yet standard benchmarks overwhelmingly reward Modern Standard Arabic (MSA)

model-releasesarxiv-cs-ai
1 Sept 2026
Safety

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models

DGX agent

arXiv:2510.03136v2 Announce Type: replace Abstract: Confidence calibration, the alignment of a model's predicted confidence with its actual accuracy, is crucial for the reliable deployment of Large La

safetyarxiv-cs-cl
1 Sept 2026
Safety

BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

DGX agent

arXiv:2608.30646v1 Announce Type: cross Abstract: Reliable uncertainty estimation is a crucial requirement for deploying large language models (LLMs) and vision-language models (VLMs) in safety-critic

safetyarxiv-cs-ai
1 Sept 2026
Model Releases

Budget-Aware Compression Pipeline for Single-GPU LLM Inference: Methods, Trade-offs, and Coupling Effects

DGX agent

arXiv:2608.30076v1 Announce Type: new Abstract: Single-GPU deployment of 70B-parameter language models on an NVIDIA GPU is constrained by device memory, long-context throughput, and engineering integr

model-releasesarxiv-cs-cl
1 Sept 2026
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