Papers with Code 아카이브

answerability prediction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

6

코드

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

https://github.com/scrayish/ML_NLP

Language Models are Few-Shot Learners

https://github.com/shmsw25/factscore

GPT-4 Technical Report

https://github.com/shreyashankar/gpt3-sandbox

Language Models are Few-Shot Learners

https://github.com/smarton-empower/smarton-ai

Language Models are Few-Shot Learners

https://github.com/smile-data/smile

Language Models are Few-Shot Learners

https://github.com/tonyzhaozh/few-shot-learning

Language Models are Few-Shot Learners

https://github.com/turkunlp/megatron-deepspeed

Language Models are Few-Shot Learners

https://github.com/um-arm-lab/efficient-eng-2-ltl

Language Models are Few-Shot Learners

https://github.com/unispac/visual-adversarial-examples-jailbreak-large-language-models

GPT-4 Technical Report

https://github.com/vilm-ai/viet-llm-eval

Language Models are Few-Shot Learners

https://github.com/volcengine/vegiantmodel

Language Models are Few-Shot Learners

https://github.com/wenet-e2e/west

The Llama 3 Herd of Models

https://github.com/willemsenbram/mention-detection-vgd

The Llama 3 Herd of Models

https://github.com/x-lance/neusym-rag

Language Models are Few-Shot Learners

https://github.com/zach-zhiling-zheng/reticular_chemist

GPT-4 Technical Report

https://github.com/zechenli03/sensorllm

The Llama 3 Herd of Models

https://github.com/zhuzilin/ring-flash-attention

The Llama 3 Herd of Models

https://github.com/ziye2chen/LLMs-for-Mathematical-Analysis

The Llama 3 Herd of Models

https://github.com/zphang/lm_evaluation_harness

Language Models are Few-Shot Learners

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.