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Mind the Gap: Assessing Temporal Generalization in Neural Language
  Models

Mind the Gap: Assessing Temporal Generalization in Neural Language Models

3 February 2021
Angeliki Lazaridou
A. Kuncoro
E. Gribovskaya
Devang Agrawal
Adam Liska
Tayfun Terzi
Mai Giménez
Cyprien de Masson dÁutume
Tomás Kociský
Sebastian Ruder
Dani Yogatama
Kris Cao
Susannah Young
Phil Blunsom
    VLM
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Papers citing "Mind the Gap: Assessing Temporal Generalization in Neural Language Models"

11 / 61 papers shown
Title
TemporalWiki: A Lifelong Benchmark for Training and Evaluating
  Ever-Evolving Language Models
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Joel Jang
Seonghyeon Ye
Changho Lee
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Minjoon Seo
CLL
KELM
27
91
0
29 Apr 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
32
29
0
18 Mar 2022
Temporal Attention for Language Models
Temporal Attention for Language Models
Guy D. Rosin
Kira Radinsky
VLM
31
33
0
04 Feb 2022
Do Language Models Have Beliefs? Methods for Detecting, Updating, and
  Visualizing Model Beliefs
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
Peter Hase
Mona T. Diab
Asli Celikyilmaz
Xian Li
Zornitsa Kozareva
Veselin Stoyanov
Joey Tianyi Zhou
Srini Iyer
KELM
LRM
30
79
0
26 Nov 2021
Temporal Effects on Pre-trained Models for Language Processing Tasks
Temporal Effects on Pre-trained Models for Language Processing Tasks
Oshin Agarwal
A. Nenkova
VLM
25
53
0
24 Nov 2021
Fast Model Editing at Scale
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
230
343
0
21 Oct 2021
Time-Aware Language Models as Temporal Knowledge Bases
Time-Aware Language Models as Temporal Knowledge Bases
Bhuwan Dhingra
Jeremy R. Cole
Julian Martin Eisenschlos
D. Gillick
Jacob Eisenstein
William W. Cohen
KELM
28
264
0
29 Jun 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
250
644
0
21 Apr 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
276
1,996
0
31 Dec 2020
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
230
77
0
30 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
261
4,489
0
23 Jan 2020
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