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Large Language Models (LLMs) have made significant progress in recent years, achieving remarkable results in question-answering tasks (QA).
Language models are few-shot learners
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Towards a Human-like Open-Domain Chatbot
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Analyzing Sustainability Reports Using Natural Language Processing
Luccioni, A.; Baylor, E.; and Duchene, N. 2020 · 2011
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Language Models are Unsupervised Multitask Learners
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The impact of chatbot characteristics on user satisfaction and conversational performance
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Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies
Callaghan, M.; Schleussner, C.-F.; Nath, S.; Lejeune, Q.; Knutson, T. R.; Reichstein, M.; Hansen, G.; Theokritoff, E.; Andrijevic, M.; Brecha, R. J.; et al. 2021 · 2021
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Multitask Prompted Training Enables Zero-Shot Task Generalization
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A Bibliometric Review of Large Language Models Research from 2017 to 2023
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Climate Change 2022: Mitigation of Climate Change
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Self-Prompting Large Language Models for Open-Domain QA
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ChatGPT: A Large-scale Generative Language Model for Conversational AI
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