Papers with Code 아카이브
Instruction Following
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 1
- 보존된 평가 기록
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Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zihanzhaosjtu/librisqa
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
https://github.com/zrrskywalker/point-bind
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
https://huggingface.co/datasets/WaltonFuture/InstructionGPT-4
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4
https://huggingface.co/datasets/jjjjh/MM-Instruct
MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.