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Position: Understanding LLMs Requires More Than Statistical
  Generalization

Position: Understanding LLMs Requires More Than Statistical Generalization

3 May 2024
Patrik Reizinger
Szilvia Ujváry
Anna Mészáros
A. Kerekes
Wieland Brendel
Ferenc Huszár
ArXivPDFHTML

Papers citing "Position: Understanding LLMs Requires More Than Statistical Generalization"

11 / 11 papers shown
Title
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
67
4
0
31 Dec 2024
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
Emanuele Marconato
Sébastien Lachapelle
Sebastian Weichwald
Luigi Gresele
55
3
0
30 Oct 2024
Towards Understanding the Relationship between In-context Learning and
  Compositional Generalization
Towards Understanding the Relationship between In-context Learning and Compositional Generalization
Sungjun Han
Sebastian Padó
CoGe
16
2
0
18 Mar 2024
On Provable Length and Compositional Generalization
On Provable Length and Compositional Generalization
Kartik Ahuja
Amin Mansouri
OODD
18
7
0
07 Feb 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk
Ishita Mediratta
Christoforos Nalmpantis
Jelena Luketina
Eric Hambro
Edward Grefenstette
Roberta Raileanu
AI4CE
ALM
95
121
0
10 Oct 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
301
11,730
0
04 Mar 2022
On PAC-Bayesian reconstruction guarantees for VAEs
On PAC-Bayesian reconstruction guarantees for VAEs
Badr-Eddine Chérief-Abdellatif
Yuyang Shi
Arnaud Doucet
Benjamin Guedj
DRL
35
17
0
23 Feb 2022
Improving Systematic Generalization Through Modularity and Augmentation
Improving Systematic Generalization Through Modularity and Augmentation
Laura Ruis
Brenden Lake
30
16
0
22 Feb 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
Scale Efficiently: Insights from Pre-training and Fine-tuning
  Transformers
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
Yi Tay
Mostafa Dehghani
J. Rao
W. Fedus
Samira Abnar
Hyung Won Chung
Sharan Narang
Dani Yogatama
Ashish Vaswani
Donald Metzler
183
89
0
22 Sep 2021
Simpler PAC-Bayesian Bounds for Hostile Data
Simpler PAC-Bayesian Bounds for Hostile Data
Pierre Alquier
Benjamin Guedj
71
72
0
23 Oct 2016
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