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Achieving and Understanding Out-of-Distribution Generalization in
  Systematic Reasoning in Small-Scale Transformers

Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers

7 October 2022
A. Nam
Mustafa Abdool
Trevor C. Maxfield
James L. McClelland
    NAI
    LRM
    AI4CE
ArXivPDFHTML

Papers citing "Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers"

4 / 4 papers shown
Title
Towards Understanding Inductive Bias in Transformers: A View From
  Infinity
Towards Understanding Inductive Bias in Transformers: A View From Infinity
Itay Lavie
Guy Gur-Ari
Z. Ringel
24
1
0
07 Feb 2024
Systematic Generalization and Emergent Structures in Transformers
  Trained on Structured Tasks
Systematic Generalization and Emergent Structures in Transformers Trained on Structured Tasks
Yuxuan Li
James L. McClelland
21
17
0
02 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
237
690
0
27 Aug 2021
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