Papers with Code 아카이브

Data-free Knowledge Distillation

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하위 태스크: 1
평가표: 2
보존된 평가 기록: 8

코드

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

https://github.com/xxyQwQ/ComfyBench

공식 코드

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

https://github.com/yeyimilk/llm-vision-marine-animals

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Benchmarking Large Language Models for Image Classification of Marine Mammals

https://github.com/yeyimilk/llmgeo

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LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild

https://github.com/yhydhx/chatgpt-api

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DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

https://github.com/yhzhu99/covid-ehr-benchmarks

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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

https://github.com/yhzhu99/ehr-llm-benchmark

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ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks

https://github.com/yhzhu99/medagentboard

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MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks

https://github.com/yhzhu99/pyehr

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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

https://github.com/yhzhu99/pyehr-playground

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A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

https://github.com/yichaolu/traffic4cast2021

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Learning to Transfer for Traffic Forecasting via Multi-task Learning

https://github.com/yichaolu/traffic4cast2022

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An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation

https://github.com/yichizhang98/sam4mis

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Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions

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