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코드

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

https://github.com/ufal/olimpic-icdar24

공식 코드

Practical End-to-End Optical Music Recognition for Pianoform Music

https://github.com/uhhds/whattheweight

공식 코드

What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition

https://github.com/uhhhci/immersive-ngp

공식 코드

Immersive Neural Graphics Primitives

https://github.com/uiuc-focal-lab/quacer-b

공식 코드

Quantitative Certification of Bias in Large Language Models

https://github.com/uiuc-kang-lab/injecagent

공식 코드

InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

https://github.com/ukplab/argument-topic-diversity

공식 코드

Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets

https://github.com/ukplab/arxiv2024-leaderboard-generation

공식 코드

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards

https://github.com/ul-fmf/mlfmf-data

공식 코드

MLFMF: Data Sets for Machine Learning for Mathematical Formalization

https://github.com/uliege-driving/dade

공식 코드

Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments

https://github.com/uliege-driving/msc-tta

공식 코드

Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments

https://github.com/umar-hashmi/FlexibilityAndStorageModel

공식 코드

Linear energy storage and flexibility model with ramp rate, ramping, deadline and capacity constraints

https://github.com/umautobots/nsavp_tools

공식 코드

Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perception

https://github.com/umd-huang-lab/waves

공식 코드

WAVES: Benchmarking the Robustness of Image Watermarks

https://github.com/unique1i/scenesplat

공식 코드

SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining

https://github.com/unites-lab/fmts

공식 코드

FM-TS: Flow Matching for Time Series Generation

https://github.com/unites-lab/moe-quantization

공식 코드

Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark

https://github.com/uoe-agents/epymarl

공식 코드

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

https://github.com/uoe-agents/lb-foraging

공식 코드

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

https://github.com/uoe-agents/revisiting-maddpg

공식 코드

Revisiting the Gumbel-Softmax in MADDPG

https://github.com/uoe-agents/robotic-warehouse

공식 코드

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

https://github.com/uqhwen2/FCCM

공식 코드

Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective

https://github.com/urbslab/streamline

공식 코드

STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers

https://github.com/usail-hkust/bag_of_tricks_for_llm_jailbreaking

공식 코드

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

https://github.com/usail-hkust/jailtrickbench

공식 코드

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

https://github.com/usc-fortis/ad-llm

공식 코드

AD-LLM: Benchmarking Large Language Models for Anomaly Detection

https://github.com/uscnlp-lime/cq-bench

공식 코드

Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Metacognitive Cultural Intelligence with CQ-Bench

https://github.com/usmaann/BioALBERT

공식 코드

Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT

https://github.com/ustcagi/pruningrag

공식 코드

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study

https://github.com/ustcagi/rag-x

공식 코드

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study

https://github.com/utcs-scea/Altis

공식 코드

ALTIS: Modernizing GPGPU Benchmarking

https://github.com/utel-uiuc/gtfs_llm

공식 코드

ChatGPT for GTFS: Benchmarking LLMs on GTFS Understanding and Retrieval

https://github.com/utiasDSL/gym-pybullet-drones

공식 코드

Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control

https://github.com/utkuozbulak/imagenet-adversarial-image-evaluation

공식 코드

Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks

https://github.com/uwsbel/simbench

공식 코드

SimBench: A Rule-Based Multi-Turn Interaction Benchmark for Evaluating an LLM's Ability to Generate Digital Twins

https://github.com/valence-labs/OpenQDC

공식 코드

OpenQDC: Open Quantum Data Commons

https://github.com/valence-labs/Tx-Evaluation

공식 코드

Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all

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