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

https://github.com/kpriyanshu256/polyglo-toxicity-prompts

공식 코드

PolygloToxicityPrompts: Multilingual Evaluation of Neural Toxic Degeneration in Large Language Models

https://github.com/kratzert/caravan

공식 코드

Caravan MultiMet: Extending Caravan with Multiple Weather Nowcasts and Forecasts

https://github.com/kratzert/ealstm_regional_modeling

공식 코드

Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets

https://github.com/kristian10007/convgen

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ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets

https://github.com/krystalan/goal

공식 코드

GOAL: Towards Benchmarking Few-Shot Sports Game Summarization

https://github.com/kth-rpl/dynamicmap_benchmark

공식 코드

A Dynamic Points Removal Benchmark in Point Cloud Maps

https://github.com/kuleens/vlmbiaseval

공식 코드

debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias

https://github.com/kurbanintelligencelab/multicrystalspectrumset

공식 코드

Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework

https://github.com/kw90/ctw_translation_toolchain

공식 코드

Cable Tree Wiring -- Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints

https://github.com/kxplaug/taa-bench

공식 코드

Benchmarking Transferable Adversarial Attacks

https://github.com/kylelo/roofdiffusion

공식 코드

RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion

https://github.com/kyleseelman/vqa_accessibility

공식 코드

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?

https://github.com/kyungmi-lee/eval-adv-robustness

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Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods

https://github.com/l3cube-pune/MarathiNLP

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L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi

https://github.com/l3g5/impossible-bench

공식 코드

BSBench: will your LLM find the largest prime number?

https://github.com/lab-emi/opendpd

공식 코드

OpenDPD: An Open-Source End-to-End Learning & Benchmarking Framework for Wideband Power Amplifier Modeling and Digital Pre-Distortion

https://github.com/lacava/ode-strogatz

공식 코드

Contemporary Symbolic Regression Methods and their Relative Performance

https://github.com/lakpa-tamang9/margin_ood

공식 코드

Margin-bounded Confidence Scores for Out-of-Distribution Detection

https://github.com/lalasray/dmcb

공식 코드

Selecting the motion ground truth for loose-fitting wearables: benchmarking optical MoCap methods

https://github.com/lamalab-org/chem-bench

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Are large language models superhuman chemists?

https://github.com/lamalab-org/chembench

공식 코드

Are large language models superhuman chemists?

https://github.com/lamalab-org/mattext

공식 코드

MatText: Do Language Models Need More than Text & Scale for Materials Modeling?

https://github.com/land-fbk/benchmark-gen-explanations

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Benchmarking the Generation of Fact Checking Explanations

https://github.com/langtech-bsc/mt-evaluation

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MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation

https://github.com/language-modeling-lab/TuringQ

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TuringQ: Benchmarking AI Comprehension in Theory of Computation

https://github.com/lanl/openfwi

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OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform Inversion

https://github.com/lasseufpa/caviar

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CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins

https://github.com/lasuomela/carla_vloc_benchmark

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Benchmarking Visual Localization for Autonomous Navigation

https://github.com/launchnlp/ManyICLBench

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Retrieval or Global Context Understanding? On Many-Shot In-Context Learning for Long-Context Evaluation

https://github.com/laurab222/tsad

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Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

https://github.com/layer6ai-labs/ssl-robustness

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Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks

https://github.com/layneins/Zero-shot-RLHR

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Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning

https://github.com/lbaa2022/llmtaskplanning

공식 코드

LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents

https://github.com/lcastri/PeopleFlow

공식 코드

Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments

https://github.com/lclarte/conformalamp.jl

공식 코드

Building Conformal Prediction Intervals with Approximate Message Passing

https://github.com/lcs-crr/path

공식 코드

PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series

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