A Primer on Large Language Models and their Limitations | Paper Citation Record

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A Primer on Large Language Models and their Limitations Macmillan

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A Primer on Large Language Models and their Limitations Unresolved cited work

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This paper cites Technical Report, University of Oxford.

A Primer on Large Language Models and their Limitations Technical Report, University of Oxford

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A Primer on Large Language Models and their Limitations A Cookbook of Self-Supervised Learning

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A Primer on Large Language Models and their Limitations Available at https://www.deeplearning.ai/courses/ generative-ai-with-llms/

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This paper cites (2017): Tfx: A tensorflow-based production- scale machine learning platform.

A Primer on Large Language Models and their Limitations (2017): Tfx: A tensorflow-based production- scale machine learning platform

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This paper cites Nature 619(7971), pp.

A Primer on Large Language Models and their Limitations Nature 619(7971), pp

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A Primer on Large Language Models and their Limitations Technical Report, Messari

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This paper cites Language Models are Few-Shot Learners.

A Primer on Large Language Models and their Limitations Language Models are Few-Shot Learners

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This paper cites In Tung-Hung Su & Jia-Horng Kao, editors: Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases , Academic Press, pp.

A Primer on Large Language Models and their Limitations In Tung-Hung Su & Jia-Horng Kao, editors: Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases , Academic Press, pp

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This paper cites ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.

A Primer on Large Language Models and their Limitations ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

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A Primer on Large Language Models and their Limitations BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites Science 384(6702), pp.

A Primer on Large Language Models and their Limitations Science 384(6702), pp

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A Primer on Large Language Models and their Limitations TechCrunch

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This paper cites Princeton University Press, Princeton.

A Primer on Large Language Models and their Limitations Princeton University Press, Princeton

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A Primer on Large Language Models and their Limitations Cureus 15(9), doi:https://doi.org/10.7759/cureus.45473

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This paper cites Computational Linguistics, pp.

A Primer on Large Language Models and their Limitations Computational Linguistics, pp

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This paper cites In: International conference on machine learning, PMLR, pp.

A Primer on Large Language Models and their Limitations In: International conference on machine learning, PMLR, pp

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A Primer on Large Language Models and their Limitations Hannigan, Ian P

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A Primer on Large Language Models and their Limitations AI 4(2), p

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A Primer on Large Language Models and their Limitations Ethics and Information Technology 26(2), p

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A Primer on Large Language Models and their Limitations Distilling the Knowledge in a Neural Network

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A Primer on Large Language Models and their Limitations International journal of uncertainty, fuzziness, and knowledge-based sys- tems 6(2), pp

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A Primer on Large Language Models and their Limitations Training Compute-Optimal Large Language Models

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A Primer on Large Language Models and their Limitations What do we need to build explainable AI systems for the medical domain?

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A Primer on Large Language Models and their Limitations Parameter-Efficient Transfer Learning for NLP

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A Primer on Large Language Models and their Limitations LoRA: Low-Rank Adaptation of Large Language Models

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A Primer on Large Language Models and their Limitations Jelinek (1976): Continuous speech recognition by statistical methods

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A Primer on Large Language Models and their Limitations Available at https://keras.io/about/

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A Primer on Large Language Models and their Limitations Proceedings of the National Academy of Sciences 114(13), pp

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A Primer on Large Language Models and their Limitations Reformer: The Efficient Transformer

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A Primer on Large Language Models and their Limitations Evaluating Large Language Models in Theory of Mind Tasks

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A Primer on Large Language Models and their Limitations Progress in Biophysics and Molecular Biology 190, pp

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A Primer on Large Language Models and their Limitations BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

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A Primer on Large Language Models and their Limitations Revisiting Catastrophic Forgetting in Large Language Model Tuning

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A Primer on Large Language Models and their Limitations Prefix-Tuning: Optimizing Continuous Prompts for Generation

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A Primer on Large Language Models and their Limitations Advances in neural information processing systems 31

Reference 37

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A Primer on Large Language Models and their Limitations Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

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A Primer on Large Language Models and their Limitations YODA: Teacher-Student Progressive Learning for Language Models

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A Primer on Large Language Models and their Limitations An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 40

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A Primer on Large Language Models and their Limitations Communication-Efficient Learning of Deep Networks from Decentralized Data

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A Primer on Large Language Models and their Limitations Jackson (2024): A Turing test of whether AI chatbots are behaviorally similar to humans

Reference 42

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A Primer on Large Language Models and their Limitations In: Image Analysis and Processing, ICIAP 2022 Workshops, PT II, Lecture Notes in Computer Science13374, Springer Nature, CHAM, pp

Reference 43

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A Primer on Large Language Models and their Limitations Transactions of the International Society for Music Information Retrieval4, pp

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A Primer on Large Language Models and their Limitations Exploration of Masked and Causal Language Modelling for Text Generation

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A Primer on Large Language Models and their Limitations In: 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), IEEE, pp

Reference 46

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A Primer on Large Language Models and their Limitations In: Proceedings of the 38th ACM International Conference on Supercomputing , ICS ’24, Association for Computing Machinery, New York, NY , USA, pp

Reference 47

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A Primer on Large Language Models and their Limitations Unresolved cited work

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A Primer on Large Language Models and their Limitations A Comprehensive Overview of Large Language Models

Reference 49

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A Primer on Large Language Models and their Limitations Available at https://www.deeplearning.ai/

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A Primer on Large Language Models and their Limitations MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts

Reference 51

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A Primer on Large Language Models and their Limitations Training language models to follow instructions with human feedback

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A Primer on Large Language Models and their Limitations Computers and Electronics in Agri- culture 225, p

Reference 53

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A Primer on Large Language Models and their Limitations The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Reference 54

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A Primer on Large Language Models and their Limitations In: EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, pp

Reference 55

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A Primer on Large Language Models and their Limitations Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 56

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A Primer on Large Language Models and their Limitations Experience Replay for Continual Learning

Reference 57

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A Primer on Large Language Models and their Limitations Progress in Artificial Intelligence 9(4), pp

Reference 58

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A Primer on Large Language Models and their Limitations Progressive Neural Networks

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A Primer on Large Language Models and their Limitations The Curse of Recursion: Training on Generated Data Makes Models Forget

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A Primer on Large Language Models and their Limitations LLaMA: Open and Efficient Foundation Language Models

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A Primer on Large Language Models and their Limitations Attention Is All You Need

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Reference 72

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A Primer on Large Language Models and their Limitations Na- ture Machine Intelligence 5(12), pp

Reference 73

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A Primer on Large Language Models and their Limitations In: Conference on Parsimony and Learning , PMLR, pp

Reference 76

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A Primer on Large Language Models and their Limitations A Survey of Large Language Models

Reference 77

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A Primer on Large Language Models and their Limitations Technovation 124, p

Reference 78

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