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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/lishangyu-hkust/osvbench

공식 코드

OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification

https://github.com/littlepenguin89106/mgcac

공식 코드

A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting

https://github.com/liu-hy/genotex

공식 코드

GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis

https://github.com/liu-yushan/PoLo

공식 코드

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

https://github.com/liu00222/open-prompt-injection

공식 코드

Formalizing and Benchmarking Prompt Injection Attacks and Defenses

https://github.com/liudan193/Fairness-Benchmark-for-Face-Forgery-Detection

공식 코드

Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations

https://github.com/liugangcode/Llamole

공식 코드

Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

https://github.com/liukidar/pcax

공식 코드

Benchmarking Predictive Coding Networks -- Made Simple

https://github.com/liuyuaa/SurvUnc

공식 코드

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis

https://github.com/liuzey/CheckGPT

공식 코드

On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing

https://github.com/liuzuxin/dsrl

공식 코드

Datasets and Benchmarks for Offline Safe Reinforcement Learning

https://github.com/liuzuxin/fsrl

공식 코드

Datasets and Benchmarks for Offline Safe Reinforcement Learning

https://github.com/liuzuxin/osrl

공식 코드

Datasets and Benchmarks for Offline Safe Reinforcement Learning

https://github.com/livingingroups/animal2vec

공식 코드

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

https://github.com/lize-alberts/llm_prag_benchmark

공식 코드

CURATe: Benchmarking Personalised Alignment of Conversational AI Assistants

https://github.com/ljcleo/agent_sense

공식 코드

AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios

https://github.com/ljungang/rtv-bench

공식 코드

RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video

https://github.com/lkopf/cosy

공식 코드

CoSy: Evaluating Textual Explanations of Neurons

https://github.com/ll0ruc/AutoMIR

공식 코드

AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels

https://github.com/llcresearch/genception

공식 코드

GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data

https://github.com/llllly26/complexbench-edit

공식 코드

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies

https://github.com/llm-eval-mental-health/counselbench

공식 코드

CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmark of Large Language Models in Mental Health Counseling

https://github.com/lmquan2000/mask-mixup

공식 코드

GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation

https://github.com/locuslab/open-unlearning

공식 코드

OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics

https://github.com/lofrienger/endodepthbenchmark

공식 코드

Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data

https://github.com/longkukuhi/lacvit

공식 코드

LaCViT: A Label-aware Contrastive Fine-tuning Framework for Vision Transformers

https://github.com/lookuz/vidhal

공식 코드

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs

https://github.com/lordog/r-judge

공식 코드

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

https://github.com/loreley99/syntheval_checklist

공식 코드

SYNTHEVAL: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists

https://github.com/lorjul/sgbench

공식 코드

A Review and Efficient Implementation of Scene Graph Generation Metrics

https://github.com/louisanity/cuphastlearn

공식 코드

Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations

https://github.com/lpd-epfl/byzfl

공식 코드

ByzFL: Research Framework for Robust Federated Learning

https://github.com/ltecot/rand_bench_opt_quantum

공식 코드

Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems

https://github.com/ltgoslo/noreval

공식 코드

NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark

https://github.com/lucagioacchini/auto-pen-bench

공식 코드

AutoPenBench: Benchmarking Generative Agents for Penetration Testing

https://github.com/lucagioacchini/genai-pentest-paper

공식 코드

AutoPenBench: Benchmarking Generative Agents for Penetration Testing

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