Carrying over algorithm in transformers

15 January 2024

Papers citing "Carrying over algorithm in transformers"

9 / 9 papers shown

Title
Zephyr: Direct Distillation of LM Alignment Lewis Tunstall E. Beeching Nathan Lambert Nazneen Rajani Kashif Rasul ... Nathan Habib Nathan Sarrazin Omar Sanseviero Alexander M. Rush Thomas Wolf ALM 97 388 0 25 Oct 2023
What Algorithms can Transformers Learn? A Study in Length Generalization Hattie Zhou Arwen Bradley Etai Littwin Noam Razin Omid Saremi Josh Susskind Samy Bengio Preetum Nakkiran 75 122 0 24 Oct 2023
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 316 514 0 24 Sep 2022
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 181 366 0 21 Sep 2022
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit Boaz Barak Benjamin L. Edelman Surbhi Goel Sham Kakade Eran Malach Cyril Zhang 95 132 0 18 Jul 2022
Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz Anders Andreassen David Dohan Ethan Dyer Henryk Michalewski ... Theo Gutman-Solo Yuhuai Wu Behnam Neyshabur Guy Gur-Ari Vedant Misra ReLM ELM LRM 172 837 0 29 Jun 2022
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization Róbert Csordás Kazuki Irie Jürgen Schmidhuber AI4CE 77 57 0 14 Oct 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding Jianlin Su Yu Lu Shengfeng Pan Ahmed Murtadha Bo Wen Yunfeng Liu 272 2,443 0 20 Apr 2021
How to decay your learning rate Aitor Lewkowycz 93 24 0 23 Mar 2021