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코드

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

https://github.com/castorini/ragnarok

공식 코드

Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track

https://github.com/cathyxl/magic

공식 코드

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

https://github.com/causalens/cdml-neurips2020

공식 코드

Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data

https://github.com/cavalab/ecg-survival-benchmark

공식 코드

A Closer Look at Mortality Risk Prediction from Electrocardiograms

https://github.com/cbg-ethz/bmi

공식 코드

Beyond Normal: On the Evaluation of Mutual Information Estimators

https://github.com/cbg-ethz/subgroupseparation

공식 코드

High-Dimensional Inference in Bayesian Networks

https://github.com/ccp-eva/sporttaskme22

공식 코드

Sport Task: Fine Grained Action Detection and Classification of Table Tennis Strokes from Videos for MediaEval 2022

https://github.com/cemuluoglakci/hypotermqa

공식 코드

HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs

https://github.com/cevers/sap_locata_eval

공식 코드

The LOCATA Challenge: Acoustic Source Localization and Tracking

https://github.com/cgoliver/rnaglib

공식 코드

A Comprehensive Benchmark for RNA 3D Structure-Function Modeling

https://github.com/cgye96/a_closer_look_at_3dfsl

공식 코드

What Makes for Effective Few-shot Point Cloud Classification?

https://github.com/chakra-et/chakra

공식 코드

Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces

https://github.com/chao1224/geom3d

공식 코드

Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

https://github.com/charlesgong12/rece

공식 코드

Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models

https://github.com/charsyme/Human-Data-Generation-Framework

공식 코드

Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization

https://github.com/chartgalaxy/chartgalaxy

공식 코드

ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation

https://github.com/chelsea234/hifi_ifdl

공식 코드

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

https://github.com/chen700564/RGB

공식 코드

Benchmarking Large Language Models in Retrieval-Augmented Generation

https://github.com/chenfei-liao/multi-modal-semantic-segmentation-robustness-benchmark

공식 코드

Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness

https://github.com/chengcv/dfrfs

공식 코드

Disentangled Feature Representation for Few-shot Image Classification

https://github.com/chenguolin/InstructScene

공식 코드

InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

https://github.com/chengxuphd/dcr

공식 코드

DCR: Quantifying Data Contamination in LLMs Evaluation

https://github.com/chengyuehuang511/frames-vqa

공식 코드

FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering

https://github.com/chengyui/nuwats

공식 코드

NuwaTS: a Foundation Model Mending Every Incomplete Time Series

https://github.com/chengyuyang-njit/imagedesmoke

공식 코드

Laparoscopic Image Desmoking Using the U-Net with New Loss Function and Integrated Differentiable Wiener Filter

https://github.com/chenshuang-zhang/imagenet_d

공식 코드

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

https://github.com/chenxing1999/recsys-benchmark

공식 코드

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems

https://github.com/chenyi99/egoplan

공식 코드

EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning

https://github.com/chenyuen0103/gender-bias

공식 코드

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias

https://github.com/chessbean1/gui-robust

공식 코드

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies

https://github.com/chirag-w/qpsq-learning

공식 코드

Learning Quantum Processes with Quantum Statistical Queries

https://github.com/chris-n-self/large-scale-qml

공식 코드

Quantum machine learning of large datasets using randomized measurements

https://github.com/christopher-br/cbrnet

공식 코드

Using representation balancing to learn conditional-average dose responses from clustered data

https://github.com/christopherbrix/vnncomp2023_benchmarks

공식 코드

Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition

https://github.com/christos42/Enhancing-Biomedical-Knowledge-Discovery-for-Diseases

공식 코드

Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease

https://github.com/cipriantruica/T2K2D2_Benchmark

공식 코드

Benchmarking Top-K Keyword and Top-K Document Processing with T${}^2$K${}^2$ and T${}^2$K${}^2$D${}^2$

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