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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/lucapodo/evallm

공식 코드

Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations

https://github.com/lucianoavinas/lowrank-gnn-kernels

공식 코드

Simple GNNs with Low Rank Non-parametric Aggregators

https://github.com/luciusssss/milic-eval

공식 코드

MiLiC-Eval: Benchmarking Multilingual LLMs for China's Minority Languages

https://github.com/ludwig-ai/ludwig

공식 코드

Personalized Benchmarking with the Ludwig Benchmarking Toolkit

https://github.com/lufan31/comprecap

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Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning

https://github.com/luiscruz/slr-green-ai

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A Systematic Review of Green AI

https://github.com/luisdavid64/Skelite

공식 코드

Skelite: Compact Neural Networks for Efficient Iterative Skeletonization

https://github.com/luisfelipewb/RL4WasteCapture

공식 코드

Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests

https://github.com/lujiarui/str2str

공식 코드

Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling

https://github.com/luka-kovacevic/causalregnet

공식 코드

Simulation-based Benchmarking for Causal Structure Learning in Gene Perturbation Experiments

https://github.com/luomancs/remuq

공식 코드

End-to-end Knowledge Retrieval with Multi-modal Queries

https://github.com/luxiya01/mbes-registration-data

공식 코드

Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration

https://github.com/lvyiwei1/StylePTB

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StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer

https://github.com/lx709/reobench

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REOBench: Benchmarking Robustness of Earth Observation Foundation Models

https://github.com/lxa9867/imagefolder

공식 코드

Robust Latent Matters: Boosting Image Generation with Sampling Error

https://github.com/lxa9867/r2bench

공식 코드

$\text{R}^2$-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

https://github.com/lyf1212/color-turbo

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Language-based Image Colorization: A Benchmark and Beyond

https://github.com/lzfelix/lio

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Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization

https://github.com/m-serra/action-inference-for-video-prediction-benchmarking

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Action-conditioned Benchmarking of Robotic Video Prediction Models: a Comparative Study

https://github.com/m3rg-iitd/aila

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Autonomous Microscopy Experiments through Large Language Model Agents

https://github.com/mac-automl/abstract-reason-benchmark

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Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective

https://github.com/macarbonneau/MILSurvey

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Multiple Instance Learning: A Survey of Problem Characteristics and Applications

https://github.com/machinelearning4health/medlane

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Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation

https://github.com/madakkmi/llpowershap

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LLpowershap: Logistic Loss-based Automated Shapley Values Feature Selection Method

https://github.com/madeagents/hammerbench

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HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios

https://github.com/maenzhier/grecx

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GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation

https://github.com/magantoine/jobskape

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JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching

https://github.com/magics-lab/outeffhop

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Outlier-Efficient Hopfield Layers for Large Transformer-Based Models

https://github.com/mahmad00/disjoint-sampling-for-hyperspectral-image-classification

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Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image Classification

https://github.com/mahmoodlab/hest

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HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

https://github.com/mahmoodlab/patho-bench

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Molecular-driven Foundation Model for Oncologic Pathology

https://github.com/mahmoodlab/trident

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Molecular-driven Foundation Model for Oncologic Pathology

https://github.com/maho3/ltu-ili

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LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology

https://github.com/mail-ecnu/text-gym-agents

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Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym

https://github.com/maitrix-org/de-arena

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Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models

https://github.com/mala-lab/opencil

공식 코드

OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning

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