2.5k citations · 4.7k across the 60 of their papers we have counts for
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cs.CL2023★ 1 cited
Physics of Language Models: Part 3.2, Knowledge Manipulation
Zeyuan Allen-Zhu, Yuanzhi Li
Language models can store vast factual knowledge, yet their ability to flexibly use this knowledge for downstream tasks (e.g., via instruction finetuning) remains questionable. Thi…
cs.CL2023★ 7 cited
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
Zeyuan Allen-Zhu, Yuanzhi Li
Large language models (LLMs) can store a vast amount of world knowledge, often extractable via question-answering (e.g., "What is Abraham Lincoln's birthday?"). However, do they an…
cs.CL2023★ 4 cited
Physics of Language Models: Part 1, Learning Hierarchical Language Structures
Zeyuan Allen-Zhu, Yuanzhi Li
Transformer-based language models are effective but complex, and understanding their inner workings and reasoning mechanisms is a significant challenge. Previous research has prima…