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Benchmarking

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/TMMMU-Benchmark/evaluation

공식 코드

VisTai: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan

https://github.com/TalwalkarLab/leaf

공식 코드

LEAF: A Benchmark for Federated Settings

https://github.com/TaoZhen1110/CUDRT_Benchmark

공식 코드

Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT

https://github.com/TejasAnvekar/Mahalanobis-k-NN

공식 코드

Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations

https://github.com/Th0masLavigne/Porous_media_Generation_and_properties

공식 코드

Synthetic Porous Microstructures: Automatic Design, Simulation, and Permeability Analysis

https://github.com/Thinklab-SJTU/Bench2Drive

공식 코드

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving

https://github.com/ThuongTNguyen/ALchemist

공식 코드

On the Fragility of Active Learners for Text Classification

https://github.com/Tixierae/WECD

공식 코드

Word Embeddings for the Construction Domain

https://github.com/TobyYang7/UCFE-Benchmark

공식 코드

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

https://github.com/Toloka/beemo

공식 코드

Beemo: Benchmark of Expert-edited Machine-generated Outputs

https://github.com/Tomiinek/MultiWOZ_Evaluation

공식 코드

Shades of BLEU, Flavours of Success: The Case of MultiWOZ

https://github.com/TuAnh23/SciEx

공식 코드

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading

https://github.com/Twilight92z/Role-of-LLM

공식 코드

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks

https://github.com/UKPLab/beir

공식 코드

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

https://github.com/USC-Melady/Benchmarking_DL_MIMICIII

공식 코드

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

https://github.com/UlrikFriisJensen/CHILI

공식 코드

CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

https://github.com/VITA-Group/Open-L2O

공식 코드

Learning to Optimize: A Primer and A Benchmark

https://github.com/Visillect/mls-dataset

공식 코드

Multiple Light Source Dataset for Colour Research

https://github.com/Visual-AI/Semantic-Correspondence

공식 코드

Semantic Correspondence: Unified Benchmarking and a Strong Baseline

https://github.com/Voice-Privacy-Challenge/Voice-Privacy-Challenge-2020

공식 코드

Introducing the VoicePrivacy Initiative

https://github.com/WenjieDu/PyPOTS

공식 코드

TSI-Bench: Benchmarking Time Series Imputation

https://github.com/WenxuanZhu1103/4D-Bench

공식 코드

4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding

https://github.com/WesleyHsieh0806/TAO-Amodal

공식 코드

TAO-Amodal: A Benchmark for Tracking Any Object Amodally

https://github.com/Westlake-AI/openmixup

공식 코드

OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning

https://github.com/WilsonWangTHU/POPLIN

공식 코드

Exploring Model-based Planning with Policy Networks

https://github.com/WorldMedQA/V

공식 코드

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation

https://github.com/XU-TIANYANG/LADCF

공식 코드

Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Tracking

https://github.com/XanaduAI/GradDFT

공식 코드

Grad DFT: a software library for machine learning enhanced density functional theory

https://github.com/XanderJC/medkit-learn

공식 코드

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation

https://github.com/XiaoMi/MobileBench

공식 코드

Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents

https://github.com/XiaojuanHu/AA_property_calculation

공식 코드

Better force fields start with better data -- A data set of cation dipeptide interactions

https://github.com/Xiaoqiong-Liu/UAV-C

공식 코드

Benchmarking the Robustness of UAV Tracking Against Common Corruptions

https://github.com/Xingyu-Lin/softgym

공식 코드

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

https://github.com/Y-L-LIU/MGTBench-2.0

공식 코드

On the Generalization Ability of Machine-Generated Text Detectors

https://github.com/YLab-Open/BRIDGE

공식 코드

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text

https://github.com/YecanLee/2BeOETG

공식 코드

Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework

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