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Search: “evaluation”

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Model Releases

You Don't Need to Run Every Eval

DGX agent

arXiv:2606.24020v1 Announce Type: new Abstract: A modern model release reports scores on 40+ benchmarks and the same evaluations were run many more times before it: to track training progress, compare

model-releasesarxiv-cs-lg

24 Jun 2026

Research

Search: “evaluation”

You Don't Need to Run Every Eval

An intuitive rearranging of the Yates covariance decomposition for probabilistic verification of forecasts with the Brier score

Beyond a Single Light: A Large-Scale Aerial Dataset for Urban Scene Reconstruction Under Varying Illumination

Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation?

Closing the Calibration Gap in Semantic Caching

Coherence Under Commitment: Probing Generalization and Vacuous Memorization in LLM Logical Reasoning

CVSBench: A Comprehensive Benchmark for Cross-view Spatial Reasoning and Dreaming

Democratizing and accelerating AI-driven pathology research through agentic intelligence

EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction

Hedgementation = Hedgerow Segmentation: A Remote Sensing Benchmark

How Well Do Self-Supervised Speech Models Encode Age and Gender in Children's Speech? A Layer-Wise Analysis Across Multiple Architectures

Large Language Model-Assisted Cleaning of Report-Derived Labels in a Large-Scale Chest CT Dataset

Measuring Intent Comprehension in LLMs

MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models

MIRAGE: Stealthy Visual Prompt Injection for Vulnerability Detection in Web Agents

MMGist: A Comprehensive Multimodal Benchmark for 2027

MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning

Multi-cancer detection using a computationally efficient CNN with transfer learning

Native space based pipelines outperform template space based pipeline in subcortical segmentation

R2HandoverSim: A Simulation Framework and Benchmark for Robot-to-Human Object Handovers

Rethinking Molecular Graph Backdoors under Chemistry-aware Admission

Selective Ensemble Based on Preference-Directed Multi-Objective Bandits

Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study

Translating Inference-Time Control to Radiology Vision-Language Models: Activation Steering for Pneumonia Classification on Chest X-rays

Weighted Score-Oriented Losses for Temporally Localized Event Prediction

When Web Agents Finish but Still Fail: Reproducible Triggers and Trace Diagnostics for Parallel Web Exploration

A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents

AI Coding Agents Can Reproduce Social Science Findings

Beyond Third-Person Audits: Situated Interaction Auditing for User-Centered LLM Bias Research

Can Open-Source LLM Agents Replace Static Application Security Testing Tools? An Empirical Assessment

FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback

OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection

Scenario-based Probing and Steering Cultural Values in Large Language Models--Extended Version

Search Discipline for Long-Horizon Research Agents

Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception

uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking

A Controlled Audit of Pretraining Contamination in Public Medical Vision-Language Benchmarks

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation

Benchmarking Knowledge Editing using Logical Rules

Catching One in Five: LLM-as-Judge Blind Spots in Production Multi-Turn Transaction Agents

Constructing coherent spatial memory in LLM agents through graph rectification

Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection

FG-Attn: Leveraging Fine-Grained Sparse Attention in Video Diffusion Models

Importance-Aware Scheduling for High-Dimensional Hyperparameter Optimization

Janus: A Benchmark for Goal-Conditioned Information Distortion in LLMs

Limitations of Learning Tanh Neural Networks with Finite Precision

Mechanistic Analysis of Alignment Algorithms in Language Models

NOVA: Symbolic Regression Discovery of Interpretable Car-Following and Lane-Change Models with Driver Heterogeneity