127,652Total entries

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Knowledge catalogue

Search: “inference”

17,838 results

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

agentsarxiv-cs-lg

3 Sept 2026

Research

Prediction-Powered Conditional Inference

DGX agent

arXiv:2603.05575v2 Announce Type: replace-cross Abstract: We study prediction-powered conditional inference in the setting where labeled data are scarce, unlabeled covariates are abundant, and a black

Search: “inference”

Context Inference Attacks Without Jailbreaks

Prediction-Powered Conditional Inference

SemKV: Semantic Mixed-Precision KV Cache Quantization Guided by the Quality Cliff for Long-Context LLM Inference

Small Reward Models via Backward Inference

Bayes with No Shame: Admissibility Geometries of Predictive Inference

Quantum Maximum Entropy Inference and Hamiltonian Learning

DIME: Query-Efficient Framework for Membership Inference on Diffusion Models

Safety Hacking in Constrained Best-of-N Inference-time Scaling

Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference

Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI Inference

Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models

Training, learning and inference: unified dynamics of neural systems

Can a Lightweight Multimodal Model Estimate LLM Reasoning Performance? A Study for Compute-Optimal Document Inference

Causal Local States: Scalable Simultaneous Causal Network Inference and Forecasting for Dynamical Systems

Seeing is Free, Speaking is Not: Uncovering the True Energy Bottleneck in Edge VLM Inference

A Privacy Study of Sparse Collaborative Inference

Behaviour Is an Incomplete Measure of Reasoning Development: Cross-surface pre-arrival accessibility and the limits of developmental inference in a recurrent-depth reasoner

Deep Probabilistic Indoor Gas Source Localization via Physical Dependency-Guided Sequential Inference

QUMem: Personalized Memory for Query-Conditioned User-State Inference in LLM Agents

Generative Modeling with Bayesian Sample Inference

P2Skill: Privacy Preserving Skill Distillation for Cloud-Local LLM Inference Systems

A variational Bayes approach to inference for low-dimensional parameters in high-dimensional linear regression

Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference

Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling

A Mean-Field Framework for Inference-Time Distributional Control of Diffusion Models

EasyBalance: Cross-Layer Load Balancing in Distributed MoE Inference

GeoRoute: Geometry-Aware Hybrid Inference for Traffic Future-Frame Prediction

Measuring and Reducing WebGPU Dispatch Overhead for LLM Inference

GOPI: Generation-Oriented 3D Pose Inference for Furniture Insertion from Single-View RGB-D Indoor Scenes

A Unified Causal Inference Framework for the Desirability of Outcome Ranking Paradigm in Benefit-Risk Evaluation

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference

SCI-CLIP: Segment-Centric Inference with Reference Memory for Training-Free Open-Vocabulary Segmentation

Elbow-Based MoE Routing: A Training-Free Inference Time Plugin for Expert Selection

SHIELD: A Segmented Hierarchical Memory Architecture for Energy-Efficient LLM Inference on Edge NPUs

What We Observe as LLM Behavior Can Be a Side-effect of Inference Backend

Bridging Prediction and Attribution: Identifying Forward and Backward Causal Influence Ranges Using Assimilative Causal Inference

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model

iFAN: Inference-Aware Learning for Plain Mask Transformers

PRIVEE: Privacy-Preserving Vertical Federated Learning Against Feature Inference Attacks

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference

AdaThink-Med: Optimizing Inference-Time Compute for Medical Reasoning via Uncertainty Quantification

Inference-Time Policy Alignment for Fair Reinforcement Learning

Intention Inference Under Execution Noise: Separating Aleatoric and Epistemic Uncertainty in Social Dilemmas

MedSAM2-Anatomy: Training-Free Inference-Time Optimization for Musculoskeletal Segmentation

Meganeura: Portable GPU Training and Inference through Vulkan and Metal

TrimMoE A communication aware and adaptive depth framework for distributed edge inference

GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference

LAST: The Last Query Token Guides Visual Token Pruning for Edge-Cloud Collaborative MLLM Inference