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answerability prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

1

보존된 평가 기록

6

코드

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

https://github.com/ggerganov/llama.cpp

Language Models are Few-Shot Learners

https://github.com/ggml-org/llama.cpp

Language Models are Few-Shot Learners

https://github.com/gmum/dl-mo-2021

Language Models are Few-Shot Learners

https://github.com/gpt4life/alpagasus

GPT-4 Technical Report

https://github.com/grantslatton/llama.cpp

Language Models are Few-Shot Learners

https://github.com/haiyang-w/git

Language Models are Few-Shot Learners

https://github.com/hazyresearch/ama_prompting

Language Models are Few-Shot Learners

https://github.com/hilberthit/gpt-3

Language Models are Few-Shot Learners

https://github.com/hojjat-mokhtarabadi/promptsource

Language Models are Few-Shot Learners

https://github.com/insait-institute/lm-evaluation-harness-bg

Language Models are Few-Shot Learners

https://github.com/juletx/lm-evaluation-harness

Language Models are Few-Shot Learners

https://github.com/karpathy/build-nanogpt

Language Models are Few-Shot Learners

https://github.com/karpathy/llm.c

Language Models are Few-Shot Learners

https://github.com/knowlab/bi-weekly-paper-presentation

Mistral 7B

https://github.com/kyegomez/GPT3

Language Models are Few-Shot Learners

https://github.com/lambert-x/prolab

Language Models are Few-Shot Learners

https://github.com/lflage/openfactscore

GPT-4 Technical Report

https://github.com/longhao-chen/aicas2024

Language Models are Few-Shot Learners

https://github.com/ltruncel/Microsoft_Azure_50daysofudacity

Language Models are Few-Shot Learners

https://github.com/mbzuai-paris/lm-evaluation-harness-atlas-chat

Language Models are Few-Shot Learners

https://github.com/mgmalek/efficient_cross_entropy

Mistral 7B

https://github.com/milmor/GPT

Language Models are Few-Shot Learners

https://github.com/mindspore-ai/models/tree/master/official/nlp/gpt

Language Models are Few-Shot Learners

https://github.com/national-center-for-ai-saudi-arabia/lm-evaluation-harness

Language Models are Few-Shot Learners

https://github.com/ncoop57/gpt-code-clippy

Language Models are Few-Shot Learners

https://github.com/neuralmagic/lm-evaluation-harness

Language Models are Few-Shot Learners

https://github.com/ninglab/ecellm

Mistral 7B

https://github.com/nlx-group/overlapy

Language Models are Few-Shot Learners

https://github.com/openbiolink/promptsource

Language Models are Few-Shot Learners

https://github.com/opengptx/lm-evaluation-harness

Language Models are Few-Shot Learners

https://github.com/postech-ami/smile-dataset

Language Models are Few-Shot Learners

https://github.com/pwc-1/Paper-9/tree/main/2/mistral

Mistral 7B

https://github.com/ramanakshay/nanogpt

Language Models are Few-Shot Learners

https://github.com/roberttwomey/machine-imagination-isea

Language Models are Few-Shot Learners

https://github.com/roberttwomey/machine-imagination-workshop

Language Models are Few-Shot Learners

https://github.com/sambanova/lm-evaluation-harness

Language Models are Few-Shot Learners

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