https://github.com/THU-LYJ-Lab/T3Bench
공식 코드T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
Papers with Code 아카이브
Data-free Knowledge Distillation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/THUDM/Android-Lab
공식 코드AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
https://github.com/THUDM/CodeGeeX
공식 코드CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X
https://github.com/THUDM/FewNLU
공식 코드FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
https://github.com/TMMMU-Benchmark/evaluation
공식 코드VisTai: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan
https://github.com/TalwalkarLab/leaf
공식 코드https://github.com/TaoZhen1110/CUDRT_Benchmark
공식 코드Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT
https://github.com/TejasAnvekar/Mahalanobis-k-NN
공식 코드Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations
https://github.com/Th0masLavigne/Porous_media_Generation_and_properties
공식 코드Synthetic Porous Microstructures: Automatic Design, Simulation, and Permeability Analysis
https://github.com/Thinklab-SJTU/Bench2Drive
공식 코드Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
https://github.com/ThuongTNguyen/ALchemist
공식 코드https://github.com/Tixierae/WECD
공식 코드https://github.com/TobyYang7/UCFE-Benchmark
공식 코드UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
https://github.com/Toloka/beemo
공식 코드https://github.com/Tomiinek/MultiWOZ_Evaluation
공식 코드https://github.com/TuAnh23/SciEx
공식 코드https://github.com/Twilight92z/Role-of-LLM
공식 코드Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
https://github.com/UKPLab/beir
공식 코드BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
https://github.com/USC-Melady/Benchmarking_DL_MIMICIII
공식 코드Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
https://github.com/UlrikFriisJensen/CHILI
공식 코드https://github.com/VITA-Group/Open-L2O
공식 코드https://github.com/Visillect/mls-dataset
공식 코드https://github.com/Visual-AI/Semantic-Correspondence
공식 코드Semantic Correspondence: Unified Benchmarking and a Strong Baseline
https://github.com/Voice-Privacy-Challenge/Voice-Privacy-Challenge-2020
공식 코드https://github.com/WenjieDu/PyPOTS
공식 코드https://github.com/WenxuanZhu1103/4D-Bench
공식 코드4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding
https://github.com/WesleyHsieh0806/TAO-Amodal
공식 코드https://github.com/Westlake-AI/openmixup
공식 코드OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning
https://github.com/WilsonWangTHU/POPLIN
공식 코드https://github.com/WorldMedQA/V
공식 코드https://github.com/XU-TIANYANG/LADCF
공식 코드https://github.com/XanaduAI/GradDFT
공식 코드Grad DFT: a software library for machine learning enhanced density functional theory
https://github.com/XanderJC/medkit-learn
공식 코드The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation
https://github.com/XiaoMi/MobileBench
공식 코드Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
https://github.com/XiaojuanHu/AA_property_calculation
공식 코드Better force fields start with better data -- A data set of cation dipeptide interactions
https://github.com/Xiaoqiong-Liu/UAV-C
공식 코드Benchmarking the Robustness of UAV Tracking Against Common Corruptions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.