Papers with Code 아카이브
Winogrande
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/adkipnis/metabench
공식 코드$\texttt{metabench}$ -- A Sparse Benchmark to Measure General Ability in Large Language Models
https://github.com/allenai/rainbow
공식 코드UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
https://github.com/facebookresearch/layerskip
공식 코드LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
https://github.com/optimalscale/lmflow
공식 코드LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
https://github.com/swarnahub/explanationhardness
공식 코드Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
https://github.com/tensorflow/mesh
공식 코드ST-MoE: Designing Stable and Transferable Sparse Expert Models
https://github.com/yangyiben/G-DAUG-c-Generative-Data-Augmentation-for-Commonsense-Reasoning
공식 코드https://github.com/ydyordanov/few-shot-nles
공식 코드Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
https://github.com/MindCode-4/code-13/tree/main/WinoGrande
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/MindSpore-scientific-2/code-3/tree/main/WinoGrande
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/MindSpore-scientific/code-14/tree/main/WinoGrande
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/MindSpore-scientific/code-5/tree/main/WinoGrande
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/crherlihy/clinical_nli_artifacts
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/mindspore-ai/contrib/tree/master/application/WinoGrande
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/pwc-1/Paper-9/tree/main/3/WinoGrande
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/pwc-1/Paper-9/tree/main/4/WinoGrande
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/vered1986/self_talk
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/xuefuzhao/openmoe
ST-MoE: Designing Stable and Transferable Sparse Expert Models
https://github.com/yikangshen/megablocks
ST-MoE: Designing Stable and Transferable Sparse Expert Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.