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Benchmarking

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

https://github.com/xinxingwu-uk/dgae

공식 코드

Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction

https://github.com/xiutian/orchid

공식 코드

ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization

https://github.com/xlang-ai/OSWorld

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OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

https://github.com/xliuhw/NLU-Evaluation-Data

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Benchmarking Natural Language Understanding Services for building Conversational Agents

https://github.com/xsysigma/tencentllmeval

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TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs

https://github.com/xt-cyh/codi-eval

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Benchmarking Large Language Models on Controllable Generation under Diversified Instructions

https://github.com/xtotodilex/deep-learning-model-optimization

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Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation

https://github.com/xuejunsun98/hr-vilage-3k3m

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HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity

https://github.com/xweiq/benchmark-graphfairness

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Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark

https://github.com/xxgege/nico-plus

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NICO++: Towards Better Benchmarking for Domain Generalization

https://github.com/xxxiaol/qrdata

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Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

https://github.com/xxyQwQ/ComfyBench

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ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems

https://github.com/xy-showing/amqa

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AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and Healthcare

https://github.com/xybfight/vrp-generalization

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Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture

https://github.com/xyzcs/scireplicate-bench

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SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers

https://github.com/yale-nlp/instrusum

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Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization

https://github.com/yale-nlp/metafaith

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MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs

https://github.com/yangheng95/OmniGenomeBench

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OmniGenBench: Automating Large-scale in-silico Benchmarking for Genomic Foundation Models

https://github.com/yangheng95/omnigenbench

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OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking

https://github.com/yanguojun123/medical-dialogue

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ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues

https://github.com/yangzhch6/ReSocratic

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OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling

https://github.com/yanx27/2dpass

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Benchmarking the Robustness of LiDAR Semantic Segmentation Models

https://github.com/yanzhuguo/llm-diversity

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Benchmarking Linguistic Diversity of Large Language Models

https://github.com/yaochie/multimodal-baselines

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Strong and Simple Baselines for Multimodal Utterance Embeddings

https://github.com/yaolu-zjut/Navigation-LLM-layer-pruning

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Reassessing Layer Pruning in LLMs: New Insights and Methods

https://github.com/yaoxufeng/rtlrewriter-bench

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RTLRewriter: Methodologies for Large Models aided RTL Code Optimization

https://github.com/yazdanimehdi/fragxsitedti

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FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation

https://github.com/ybai-nlp/edubench

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EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios

https://github.com/ycfu/BubGAN

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BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images

https://github.com/ychtanaka/marine-snow

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Marine Snow Removal Benchmarking Dataset

https://github.com/yczhou001/longbench-t2i

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Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation

https://github.com/yegyu-han/senseshift6d

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SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor Variations

https://github.com/yehias21/vrp-benchmarks

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SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem

https://github.com/yellow07200/ESD_labeling_tool

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A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment

https://github.com/yellowmessenger/ood-detection

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BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection

https://github.com/yerevann/mimic3-benchmarks

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Multitask learning and benchmarking with clinical time series data

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