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Inference Auctions

DGX agent

arXiv:2609.40070v1 Announce Type: cross Abstract: When inference demand exceeds available compute capacity, model providers must decide which requests should be served first. Users have different tole

agentsarxiv-cs-ai

1 Oct 2026

Model Releases

Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure Abuse

DGX agent

arXiv:2609.38239v1 Announce Type: cross Abstract: A Technical Report: Operating a large language model (LLM) as a service requires more than inference infrastructure: the provider must also defend aga

All entries

Inference Auctions

Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure Abuse

Inferring Causal Relations between Two Sequences of Events with Language Models

InfoAgent: Traceable Generation and Repair of Evidence-Grounded Infographics

Information Thermodynamics of Agents: The Work Capacity of Channels with Memory

Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model

Instruction Retrieval at Inference Time for Small Language Models

Interactor: Agentic RL oriented Iterative Creation for Ad Description Generation in Sponsored Search

Interestingly, just overheard in @swyx podcast interviewing an OpenAI engineer, their Decision API is literally built on GPT-6 Luna adding a…

Interpretable but Fragile? Robustness of Concept Bottlenecks under Geometric-Semantic Perturbations

Introducing Agent Droplets: everything an agent needs, one price, one bill

Introducing Clef: our open-source decision models, and new RL fine-tuning platform

introducing 𝚌𝚕𝚎𝚏: our first models trained by @cloudflare's workers ai team. today, we're releasing two fast and accurate decision model…

Introducing the Server Side Cloud Swift SDK

Introduction to Computer Vision

Invariant Shape Analysis of Surfaces with Spherical Topology

IronMind: Scaling Humanoid Dexterous Manipulation via Camera-Space Ego-Centric Pretraining

Is Better Teacher Supervision Enough? Unlocking Student-side Learning in Multimodal On-Policy Distillation

Is This Evidence Decision-Critical? Learning to Verify Rule-Governed Decisions

Is Weight Tying Still Beneficial for Decoder-Only LLMs in Private Settings Under DP-SGD?

It Takes Little to Rewrite Perception: Targeted Semantic Substitution in Vision-Language Models at epsilon leq 4/255

ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining

It's incredibly important to aggressively resist the idea that AI can be conscious or have 'personhood,' not only because it's as ridiculous…

It's really cool to see our robot packing items it hadn't observed in the training data, demonstrating zero-shot learning at our AI Summit.

Jacobian Rank Collapse in Decision-Focused Learning

Janus: Evidence-Before-Effect Sagas and Offline-Verifiable Provenance for Agentic LLMs

JARQ: Joint Alternating Refinement for Quantization

Jeff-Qwen3.5-0.8B v1.2 + 9 LoRA adapters: put it in front of Qwen3.8-27B for 38× faster decisions and +8.7 points accuracy, for under 2 GB extra memory

jes, a jev open-source guardrails project LangChain Ambassador @EdenEmarco177 has been working on It uses LangChain’s TypeSafeClassifier und…

Joint Supervised and Self-Supervised Training with Acquisition-Robust Techniques for Accelerated 4D Flow MRI Reconstruction

JuryFlow: Disagreement-Guided Human-in-the-Loop Multi-Agent Evaluation

K2P: Label-Free Knowledge to Prompt Distillation

KilometerVision: A New Frontier for Large-Scale Spatial Intelligence in VLMs

Kinematic signatures of impairment: Detecting alcohol intoxication in e-scooter riders using sensor data and machine learning

KlinikeBench: Evaluating Language Models Beyond Diagnostic Accuracy

KVEraser: Learning to Steer KV Cache for Efficient Localized Context Erasing

L1-MPPI: L1 Adaptive Model Predictive Path Integral for Agile UAV Control

LampAttention: Look-Ahead Mixed-Precision FlashAttention for Dedicated Accelerators

Language-Conditioned World Modeling for Visual Navigation

LARC: Low-Rank Adaptive Residual Connections for Learning in Frozen Models

Large Language Models are Approximate Survival Estimators

Lasting Effects of Abstract Pretraining Beyond Perplexity

LatentHarness: Learning Latent Actions for Memory and Reasoning via Counterfactual Policy Distillation

LBDU-VIO: Learned Bias Dynamics and Uncertainty for Visual-Inertial Odometry with Unreliable Vision

LeanPolish: Verified Supervision for Lean Proof Compression

LEAP: Learned Block-wise Evidence Retrieval for Long Audio-Video Perception

Learn-Then-Differentiate Gradient Estimation

LEARN-TS: LLM-Enhanced Alignment and Reconstruction with Normality Guidance for Multivariate Time-Series Anomaly Detection