https://github.com/jiuzhouh/pive
공식 코드PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
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A language model is a model of natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation, natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval.
Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word n-gram language model.
Source: Wikipedia
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
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Cost-effective Instruction Learning for Pathology Vision and Language Analysis
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Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug Safety
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ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.