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Benchmarking
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking
BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries
Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms
Better Bill GPT: Comparing Large Language Models against Legal Invoice Reviewers
Proof of Humanity: A Multi-Layer Network Framework for Certifying Human-Originated Content in an AI-Dominated Internet
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
On Benchmarking Code LLMs for Android Malware Analysis
Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
Benchmarking Federated Machine Unlearning methods for Tabular Data
Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Metacognitive Cultural Intelligence with CQ-Bench
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models
TDBench: Benchmarking Vision-Language Models in Understanding Top-Down Images
Uni-Render: A Unified Accelerator for Real-Time Rendering Across Diverse Neural Renderers
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis
MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation
EgoToM: Benchmarking Theory of Mind Reasoning from Egocentric Videos
An Advanced Ensemble Deep Learning Framework for Stock Price Prediction Using VAE, Transformer, and LSTM Model
Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors
Assessing Foundation Models for Sea Ice Type Segmentation in Sentinel-1 SAR Imagery
LIM: Large Interpolator Model for Dynamic Reconstruction
Benchmarking Ultra-Low-Power $μ$NPUs
Generalization Bias in Large Language Model Summarization of Scientific Research
SimBank: from Simulation to Solution in Prescriptive Process Monitoring
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