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Knowledge catalogue

Search: “evaluation”

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Research

Embedding Inference Attack

DGX agent

arXiv:2607.01276v1 Announce Type: cross Abstract: Embedding models are essential components of modern Information Retrieval (IR) systems, yet they are typically hidden behind APIs. Recent works have s

researcharxiv-cs-lg

3 Jul 2026

Model Releases

Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots

DGX agent

Search: “evaluation”

Embedding Inference Attack

Embodied.cpp: A Portable Inference Runtime of Embodied AI Models on Heterogeneous Robots

Enhancing Fitness Intelligence through Domain-Specific LLM Post-Training

eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions

Fixed-Set Robustness in Programming by Example: Example Corruption and Semantic Partition Recovery

Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving

GPUAlert: A Zero-Instrumentation Process-Boundary Monitor for Diagnosing GPU Training-Job Failures

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies

HAL: Inducing Human-likeness in LLMs with Alignment

HaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety

Has This Checkpoint Been Abliterated? A Two-Signal Audit and Its Failure Map

Hawk: Harnessing Hardware-Aware Knowledge for High-Performance NPU Kernel Generation

HULAT2 at MER-TRANS 2026: Governed Multi-Agent Simplification for Spanish Easy-to-Read Generation

Human Supervisor Workload Prediction: Lag Horizon Selection

Imagining the Sense of Touch: Touch-Informed Manipulation via Imagined Tactile Representations

Language Models as Measurement Apparatus for Culture

Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens

MMAO-Cls: Metabolic Multi-Agent Optimization for Joint Feature Selection and Classifier Tuning

MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering

Multilayer Q-Matrix-Embedded Neural Network for Cognitive Diagnosis (M-QCDNet): Structure-Aware Deep Learning Architecture for Psychometric Interpretability

OmniGAIA: Towards Native Omni-Modal AI Agents

On the Limits of Steering Vectors for Preference-Aligned Generation

One Demonstration Is Enough for Real-World Robotic Reinforcement Learning

OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration

Overthink-Triggered Slowdown Attacks on LVLM-Based Robotic Systems

Path-level Hindsight Instructions for Semantic Exploration in Vision-Language Navigation

Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech

Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health

PreScience: A Dataset and Benchmark for Scientific Forecasting

Privacy-Preserving and Verifiable Approximate Distributed Coded Computing

Probing Spectrum-Like Organization of States of Mind in Transformer Representation Spaces

Prompt Coverage Adequacy

ProWAFT: A ROMA-LPD Instance for Workload-Aware and Dynamic Fault Tolerance in FPGA-Based CNN Accelerators

QuadRocket: An Aerial Robotic Testbed for Adaptive Thrust-Vector Control of Rocket-Like Vehicles

Rank-Then-Act: Reward-Free Control from Frame-Order Progress

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs

Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration

Risk Architecture for AI-Native Engineering Teams: An Organizational Framework for Agentic System Governance

Robust for the Wrong Reasons: The Representational Geometry of LLM Robustness to Science Skepticism

Robust Image Processing Techniques for Construction Environment Monitoring Using Underwater Robots

Role-Aware Neural Convex Divergence Heads for Asymmetric Representation Learning

RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules

Safeguarding LLM Agents from Misalignment through Provenance Analysis

Scaling Trends for Lie Detector Oversight in Preference Learning

Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling

SCAPE: Accurate and Efficient LLM Training with Extreme Sparse Communication

Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completion