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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/flux661/Capsule-Vision-2024-Solution-Team_Layer_Players

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Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy

https://github.com/fmusio/topcowsubmissions

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Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

https://github.com/folivetti/tir

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Transformation-Interaction-Rational Representation for Symbolic Regression

https://github.com/fossr-project/ontogenia-cini

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Bench4KE: Benchmarking Automated Competency Question Generation

https://github.com/foundation-multimodal-models/capture

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Benchmarking and Improving Detail Image Caption

https://github.com/fpsluozi/tofindwaldo

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To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo

https://github.com/fqixiang/patch_llm_benchmarking_with_psychometrics

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PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics

https://github.com/fra31/auto-attack

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Bag of Tricks for Adversarial Training

https://github.com/frakkerman/ooh_code

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Learning Dynamic Selection and Pricing of Out-of-Home Deliveries

https://github.com/francois-rd/accord

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$\texttt{ACCORD}$: Closing the Commonsense Measurability Gap

https://github.com/franziska-schirrmacher/lpr-uncertainty

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Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition

https://github.com/frederikkemarin/bend

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BEND: Benchmarking DNA Language Models on biologically meaningful tasks

https://github.com/froot-netsys/netpress

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NetPress: Dynamically Generated LLM Benchmarks for Network Applications

https://github.com/fsschneider/deepobs

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DeepOBS: A Deep Learning Optimizer Benchmark Suite

https://github.com/fuchs-lab-public/cpath_sabenchmark

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Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective

https://github.com/fuchuanqu/gianthunter

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GiantHunter: Accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte Carlo tree search

https://github.com/fudanselab/linuxflbench

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Benchmarking and Enhancing LLM Agents in Localizing Linux Kernel Bugs

https://github.com/fudanvi/benchmarking-chinese-text-recognition

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Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

https://github.com/fudanvi/fudanocr

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Orientation-Independent Chinese Text Recognition in Scene Images

https://github.com/funalab/pipebo

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Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions

https://github.com/fvasluianu97/ifblend

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Towards Image Ambient Lighting Normalization

https://github.com/g-taxonomy-workgroup/gtaxogym

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Taxonomy of Benchmarks in Graph Representation Learning

https://github.com/g8a9/ferret

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ferret: a Framework for Benchmarking Explainers on Transformers

https://github.com/gaabrielfranco/llp-variants-datasets-benchmarks

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Evaluating LLP Methods: Challenges and Approaches

https://github.com/gabinsane/multimodal-vae-comparison

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Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit

https://github.com/gagan3012/eais-temporal-bias

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DateLogicQA: Benchmarking Temporal Biases in Large Language Models

https://github.com/gagolews/clustering-benchmarks

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A framework for benchmarking clustering algorithms

https://github.com/gagolews/clustering-data-v1

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A framework for benchmarking clustering algorithms

https://github.com/gagolews/clustering-results-v1

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A framework for benchmarking clustering algorithms

https://github.com/gair-nlp/behonest

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BeHonest: Benchmarking Honesty in Large Language Models

https://github.com/gair-nlp/benbench

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Benchmarking Benchmark Leakage in Large Language Models

https://github.com/gair-nlp/olympicarena

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OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

https://github.com/gaotiexinqu/v2p-bench

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V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction

https://github.com/gatech-eic/longmamba

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LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement

https://github.com/gauzias/sulcal_graphs_matching

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Population-wise Labeling of Sulcal Graphs using Multi-graph Matching

https://github.com/gayecolakoglu/layie-llm

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Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs

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