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It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD
  Generalization for Generative Transformer Models

It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models

16 August 2023
Xingcheng Xu
Zihao Pan
Haipeng Zhang
Yanqing Yang
    LRM
ArXivPDFHTML

Papers citing "It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models"

5 / 5 papers shown
Title
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Ru Wang
Wei Huang
Selena Song
Haoyu Zhang
Yusuke Iwasawa
Y. Matsuo
Jiaxian Guo
OODD
LRM
67
2
0
25 Feb 2025
Relating the Seemingly Unrelated: Principled Understanding of
  Generalization for Generative Models in Arithmetic Reasoning Tasks
Relating the Seemingly Unrelated: Principled Understanding of Generalization for Generative Models in Arithmetic Reasoning Tasks
Xingcheng Xu
Zibo Zhao
Haipeng Zhang
Yanqing Yang
LRM
34
0
0
25 Jul 2024
Limits for Learning with Language Models
Limits for Learning with Language Models
Nicholas M. Asher
Swarnadeep Bhar
Akshay Chaturvedi
Julie Hunter
Soumya Paul
19
22
0
21 Jun 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
289
2,232
0
22 Mar 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
311
11,915
0
04 Mar 2022
1