https://github.com/theagentcompany/theagentcompany
공식 코드TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
Papers with Code 아카이브
Benchmarking
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/theislab/trVAE
공식 코드Conditional out-of-sample generation for unpaired data using trVAE
https://github.com/thended32/analyzingfeatureextractors
공식 코드Analyzing the Feature Extractor Networks for Face Image Synthesis
https://github.com/thepanlab/NACHOS
공식 코드https://github.com/thinklab-sjtu/bench2drivezoo
공식 코드Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
https://github.com/thinklab-sjtu/predictiveco-benchmark
공식 코드Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
https://github.com/thiviyant/intelligraphs
공식 코드IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation
https://github.com/thomasehuber/s5-rf
공식 코드Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
https://github.com/thu-coai/autodetect
공식 코드AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
https://github.com/thu-coai/characterbench
공식 코드CharacterBench: Benchmarking Character Customization of Large Language Models
https://github.com/thu-coai/complexbench
공식 코드Benchmarking Complex Instruction-Following with Multiple Constraints Composition
https://github.com/thu-keg/agentif
공식 코드AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios
https://github.com/thu-keg/kola
공식 코드KoLA: Carefully Benchmarking World Knowledge of Large Language Models
https://github.com/thu-keg/rm-bench
공식 코드RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
https://github.com/thua919/NeRF-SLAM-Benchmark-CVPR24
공식 코드Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
https://github.com/thudm/alignbench
공식 코드AlignBench: Benchmarking Chinese Alignment of Large Language Models
https://github.com/thudm/grb
공식 코드Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
https://github.com/thudm/hgb
공식 코드https://github.com/thudm/paper-source-trace
공식 코드PST-Bench: Tracing and Benchmarking the Source of Publications
https://github.com/thumnlab/nas-bench-graph
공식 코드NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
https://github.com/thunlp-mt/cospace
공식 코드CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models
https://github.com/thunlp-mt/stabletoolbench
공식 코드StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models
https://github.com/thunlp/tritonbench
공식 코드TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
https://github.com/thyrixyang/idtoolkit
공식 코드IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
https://github.com/tianyipeng-lab/digital-twin-simulation
공식 코드https://github.com/tianyucodings/cdiff
공식 코드Conditional diffusions for amortized neural posterior estimation
https://github.com/tiiiger/benchmark_llm_summarization
공식 코드https://github.com/tim-tadj/iot_datatrust_rwi
공식 코드https://github.com/timbervision/timbervision
공식 코드https://github.com/tinkoff-ai/CORL
공식 코드CORL: Research-oriented Deep Offline Reinforcement Learning Library
https://github.com/tiwarylab/latentthermoflows
공식 코드https://github.com/tkforgeron/ocppm
공식 코드HOEG: A New Approach for Object-Centric Predictive Process Monitoring
https://github.com/tmbdev/clstm
공식 코드https://github.com/tmehari/ssm_ecg
공식 코드https://github.com/tnresearch/forlorn
공식 코드https://github.com/tobideusser/kpi-edgar
공식 코드KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.