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Interactive Archive — Literature Review

Research Archive

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2017Transformer Architecture & Attention MechanicsReproduced

Attention Is All You Need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, Illia PolosukhinNeurIPS 2017
2023Small Language Models & Synthetic DataReproduced

TinyStories: How Small Can Language Models Be?

Ronen Eldan, Yuanzhi LiarXiv Preprint (Microsoft Research)
2021Parameter-Efficient Fine-Tuning (PEFT)Reproduced

LoRA: Low-Rank Adaptation of Large Language Models

Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu ChenICLR 2022
2024Mixture-of-Experts (MoE) & Systems

DeepSeek-V3 Technical Report

DeepSeek-AI TeamTechnical Report
2015Model Compression & DistillationReproduced

Distilling the Knowledge in a Neural Network

Geoffrey Hinton, Oriol Vinyals, Jeff DeanNIPS 2014 Deep Learning Workshop
2024Small Language Models & Token Mixtures

SmolLM2: Data Mixture and Scaling for Small LMs

Hugging Face SmolLM TeamHugging Face Technical Report
2023Synthetic Data & Coding LLMs

Phi-1: Textbooks Are All You Need

Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, et al.arXiv Preprint (Microsoft Research)
2020Scaling Laws & Empirical Optimization

Scaling Laws for Neural Language Models

Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, et al.arXiv Preprint (OpenAI)
2022Compute-Optimal Scaling (Chinchilla)

Training Compute-Optimal Large Language Models

Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, et al.NeurIPS 2022 (DeepMind)
2022Alignment & RLHFReproduced

InstructGPT: Following Instructions with Human Feedback

Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, et al.NeurIPS 2022 (OpenAI)