127,664Total entries

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Knowledge catalogue

Search: “inference”

20,505 results

Tutorials

Federated Multi-Task Clustering

DGX agent

arXiv:2512.22897v3 Announce Type: replace Abstract: Spectral clustering has emerged as one of the most effective clustering algorithms due to its superior performance. However, most existing models ar

tutorialsarxiv-cs-lg

17 Apr 2026

Research

Feedback Adaptation for Retrieval-Augmented Generation

DGX agent

arXiv:2604.06647v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems are typically evaluated under static assumptions, despite being frequently corrected through user or ex

Search: “inference”

Federated Multi-Task Clustering

Feedback Adaptation for Retrieval-Augmented Generation

From Natural Language to PromQL: A Catalog-Driven Framework with Dynamic Temporal Resolution for Cloud-Native Observability

GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis

Geometrically Consistent Multi-View Scene Generation from Freehand Sketches

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning

GSNR: Graph Smooth Null-Space Representation for Inverse Problems

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet

HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention

Hierarchical Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text

Hierarchical Semantic Retrieval with Cobweb

IE as Cache: Information Extraction Enhanced Agentic Reasoning

IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning

IMPACTX: improving model performance by appropriately constraining the training with teacher explanations

Improving Machine Learning Performance with Synthetic Augmentation

Improving Sparse Autoencoder with Dynamic Attention

In-Context Autonomous Network Incident Response: An End-to-End Large Language Model Agent Approach

Join us at PyCon US 2026 in Long Beach - we have new AI and security tracks this year

JoyVASA: Portrait and Animal Image Animation with Diffusion-Based Audio-Driven Facial Dynamics and Head Motion Generation

Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis

Lazy or Efficient? Towards Accessible Eye-Tracking Event Detection Using LLMs

Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection

Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI

LLM agents loop, drift, and get stuck on hard reasoning tasks up to 30% of the time. Current fixes are either too blunt (hard step limits) o…

LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems

LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking

MARS: Sound Generation via Multi-Channel Autoregression on Spectrograms

Multi-Persona Thinking for Bias Mitigation in Large Language Models

One of the worst communication gaps is between people who care about precision in language and those who don’t

One-shot learning for the complex dynamical behaviors of weakly nonlinear forced oscillators

Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care

Sandwich: Joint Configuration Search and Hot-Switching for Efficient CPU LLM Serving

Secure and Privacy-Preserving Vertical Federated Learning

Seen-to-Scene: Keep the Seen, Generate the Unseen for Video Outpainting

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation

// Skill Learning for Autonomous Web Agents // Web agents can navigate a page, but ask them to repeat a checkout flow they already completed…

The Autocorrelation Blind Spot: Why 42% of Turn-Level Findings in LLM Conversation Analysis May Be Spurious

The Cognitive Circuit Breaker: A Systems Engineering Framework for Intrinsic AI Reliability

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models

The Courtroom Trial of Pixels: Robust Image Manipulation Localization via Adversarial Evidence and Reinforcement Learning Judgment

The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows

Towards a Multi-Embodied Grasping Agent

Towards Fine-grained Temporal Perception: Post-Training Large Audio-Language Models with Audio-Side Time Prompt

Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs

V-Reflection: Transforming MLLMs from Passive Observers to Active Interrogators

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models