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The emergence of generative Large Language Models (LLMs) emphasizes the need for accurate and efficient prompting approaches.
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“BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”
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“RoBERTa: A Robustly Optimized {BERT} Pretraining Approach”, 2020
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“Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer”
Colin Raffel et al · 2020
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“Language Models are Few-Shot Learners”
Tom Brown et al · 2020
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“Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art”
Patrick Lewis, Myle Ott, Jingfei Du and Veselin Stoyanov · 2020
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“Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks”
Suchin Gururangan et al · 2020
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“Few-Shot Question Answering by Pretraining Span Selection”
Ori Ram et al · 2021
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“MIMIC-IV”
Alistair Johnson et al · 2021
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“Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention”
Eunkyung Jo, Daniel. Epstein, Hyunhoon Jung and Young-Ho Kim · 2023
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“A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT”, 2023
Jules White et al · 2023
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“Chain-of-Thought Prompting Elicits Reasoning in Large Language Models”, 2023
Jason Wei et al · 2023
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“Self-Consistency Improves Chain of Thought Reasoning in Language Models”, 2023
Xuezhi Wang et al · 2023
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“Ontology-driven and weakly supervised rare disease identification from clinical notes”
Hang Dong et al · 2023
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“Calibrate Before Use: Improving Few-shot Performance of Language Models”
Zihao Zhao et al · 2021
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“High-Resolution Image Synthesis With Latent Diffusion Models”
Robin Rombach et al · 2022
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“Introducing ChatGPT”
OpenAI · 2022
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“Learning To Retrieve Prompts for In-Context Learning”
Ohad Rubin, Jonathan Herzig and Jonathan Berant · 2022
Cited alongside, same era.
“Training language models to follow instructions with human feedback”, 2022
Long Ouyang et al · 2022
Cited alongside, same era.
“True Few-Shot Learning with Prompts—A Real-World Perspective”
Timo Schick and Hinrich Schütze · 2022
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“MIMIC-III Clinical Database”
Alistair Johnson, Tom Pollard and Roger Mark · 2023
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“MIMIC-IV”
Alistair Johnson et al · 2023
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Philipp Schmid, Omar Sanseviero, Pedro Cuenca and Lewis Tunstall · 2023
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