11 citations · 31 across the 16 of their papers we have counts for
3 papers · 1 filter
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
Yingcong Li, Ankit Singh Rawat, Samet Oymak
Recent research has shown that Transformers with linear attention are capable of in-context learning (ICL) by implementing a linear estimator through gradient descent steps. Howeve…
Mechanics of Next Token Prediction with Self-Attention
Yingcong Li, Yixiao Huang, M. Emrullah Ildiz +2
Transformer-based language models are trained on large datasets to predict the next token given an input sequence. Despite this simple training objective, they have led to revoluti…
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
M. Emrullah Ildiz, Yixiao Huang, Yingcong Li +2
Modern language models rely on the transformer architecture and attention mechanism to perform language understanding and text generation. In this work, we study learning a 1-layer…