https://github.com/mozhu621/longgenbench
공식 코드LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
Papers with Code 아카이브
Benchmarking
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mproszewska/B-XAIC
공식 코드B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
https://github.com/mradaideh/neorl
공식 코드NEORL: NeuroEvolution Optimization with Reinforcement Learning
https://github.com/mrc-ide/referenced-TI
공식 코드https://github.com/mrcoee/automatic-label-error-detection
공식 코드https://github.com/mrgiovanni/abdomenatlas
공식 코드https://github.com/mrgiovanni/suprem
공식 코드https://github.com/mroughan/SurrealNumbers.jl
공식 코드Evolutionary Generation of Random Surreal Numbers for Benchmarking
https://github.com/msi-ru-cs/icse-seip2025-anomaly-detector-public
공식 코드Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset
https://github.com/mstrutov/desbordante
공식 코드Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)
https://github.com/msu-video-group/adversarial-defenses-for-iqa
공식 코드https://github.com/mu-cai/TemporalBench
공식 코드TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models
https://github.com/mukherjeearnab/flsim
공식 코드FLsim: A Modular and Library-Agnostic Simulation Framework for Federated Learning
https://github.com/mukobi/welfare-diplomacy
공식 코드https://github.com/multi-iot/multiiot
공식 코드MultiIoT: Benchmarking Machine Learning for the Internet of Things
https://github.com/mungg/OneRuler
공식 코드One ruler to measure them all: Benchmarking multilingual long-context language models
https://github.com/munozdjp/ihcv
공식 코드IHCV: Discovery of Hidden Time-Dependent Control Variables in Non-Linear Dynamical Systems
https://github.com/mustafaCoskunAgu/ScNP
공식 코드Graph Convolutional Networks Meet with High Dimensionality Reduction
https://github.com/muyang99/globalgeotree
공식 코드GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification
https://github.com/myflashbarry/LLM-benchmarking
공식 코드Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
https://github.com/naamiinepal/tunevlseg
공식 코드TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
https://github.com/nabenabe0928/mfhpo-simulator
공식 코드Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
https://github.com/nabenabe0928/mfhpo-simulator-experiments
공식 코드Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks
https://github.com/nabja/isimed
공식 코드https://github.com/nakulrampal/retchemqa
공식 코드Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo
https://github.com/namkoong-lab/qgym
공식 코드QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers
https://github.com/nano-neuro-research-lab/machine-learning-cryptanalysis-of-a-quantum-random-number-generator
공식 코드Machine Learning Cryptanalysis of a Quantum Random Number Generator
https://github.com/nanpengyu/pmubage
공식 코드https://github.com/narabzad/llm-relevance-judgement-comparison
공식 코드https://github.com/nathanaelbosch/capos
공식 코드https://github.com/nathangavenski/il-datasets
공식 코드Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
https://github.com/naufalso/cityscape-adverse
공식 코드https://github.com/naver/bergen
공식 코드BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
https://github.com/naver/kapture-localization
공식 코드https://github.com/naver/splade
공식 코드Benchmarking Middle-Trained Language Models for Neural Search
https://github.com/ncbi-nlp/BLUE_Benchmark
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.