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Benchmarking
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
M4-SAR: A Multi-Resolution, Multi-Polarization, Multi-Scene, Multi-Source Dataset and Benchmark for Optical-SAR Fusion Object Detection
Benchmarking CFAR and CNN-based Peak Detection Algorithms in ISAC under Hardware Impairments
Visual Anomaly Detection under Complex View-Illumination Interplay: A Large-Scale Benchmark
CleanPatrick: A Benchmark for Image Data Cleaning
Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking
VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks
Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese
Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks
TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMs
Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems
HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems
MedGUIDE: Benchmarking Clinical Decision-Making in Large Language Models
Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
Can AI Freelancers Compete? Benchmarking Earnings, Reliability, and Task Success at Scale
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs
Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests
PsOCR: Benchmarking Large Multimodal Models for Optical Character Recognition in Low-resource Pashto Language
JointDistill: Adaptive Multi-Task Distillation for Joint Depth Estimation and Scene Segmentation
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding
Real-World fNIRS-Based Brain-Computer Interfaces: Benchmarking Deep Learning and Classical Models in Interactive Gaming
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
On the Evaluation of Engineering Artificial General Intelligence
GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications Globally
OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving Conditions
A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
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