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A Measure-Theoretic Characterization of Tight Language Models

A Measure-Theoretic Characterization of Tight Language Models

20 December 2022
Li Du
Lucas Torroba Hennigen
Tiago Pimentel
Clara Meister
Jason Eisner
Ryan Cotterell
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Papers citing "A Measure-Theoretic Characterization of Tight Language Models"

27 / 27 papers shown
Title
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
What do Language Model Probabilities Represent? From Distribution Estimation to Response Prediction
Eitan Wagner
Omri Abend
39
0
0
04 May 2025
Training Neural Networks as Recognizers of Formal Languages
Training Neural Networks as Recognizers of Formal Languages
Alexandra Butoi
Ghazal Khalighinejad
Anej Svete
Josef Valvoda
Ryan Cotterell
Brian DuSell
NAI
41
2
0
11 Nov 2024
Gumbel Counterfactual Generation From Language Models
Gumbel Counterfactual Generation From Language Models
Shauli Ravfogel
Anej Svete
Vésteinn Snæbjarnarson
Ryan Cotterell
LRM
CML
33
0
0
11 Nov 2024
CONTESTS: a Framework for Consistency Testing of Span Probabilities in
  Language Models
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models
Eitan Wagner
Yuli Slavutsky
Omri Abend
18
1
0
30 Sep 2024
On the Role of Context in Reading Time Prediction
On the Role of Context in Reading Time Prediction
Andreas Opedal
Eleanor Chodroff
Ryan Cotterell
Ethan Gotlieb Wilcox
33
7
0
12 Sep 2024
How to Compute the Probability of a Word
How to Compute the Probability of a Word
Tiago Pimentel
Clara Meister
24
14
0
20 Jun 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
Franz Nowak
Anej Svete
Alexandra Butoi
Ryan Cotterell
ReLM
LRM
51
12
0
20 Jun 2024
Analyzing constrained LLM through PDFA-learning
Analyzing constrained LLM through PDFA-learning
Matías Carrasco
Franz Mayr
S. Yovine
Johny Kidd
Martín Iturbide
Juan da Silva
Alejo Garat
26
0
0
12 Jun 2024
On Affine Homotopy between Language Encoders
On Affine Homotopy between Language Encoders
Robin SM Chan
Reda Boumasmoud
Anej Svete
Yuxin Ren
Qipeng Guo
...
Shauli Ravfogel
Mrinmaya Sachan
Bernhard Schölkopf
Mennatallah El-Assady
Ryan Cotterell
43
3
0
04 Jun 2024
Lower Bounds on the Expressivity of Recurrent Neural Language Models
Lower Bounds on the Expressivity of Recurrent Neural Language Models
Anej Svete
Franz Nowak
Anisha Mohamed Sahabdeen
Ryan Cotterell
34
0
0
29 May 2024
Transformers Can Represent $n$-gram Language Models
Transformers Can Represent nnn-gram Language Models
Anej Svete
Ryan Cotterell
32
17
0
23 Apr 2024
The pitfalls of next-token prediction
The pitfalls of next-token prediction
Gregor Bachmann
Vaishnavh Nagarajan
37
62
0
11 Mar 2024
On Efficiently Representing Regular Languages as RNNs
On Efficiently Representing Regular Languages as RNNs
Anej Svete
R. Chan
Ryan Cotterell
36
1
0
24 Feb 2024
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
Li Du
Afra Amini
Lucas Torroba Hennigen
Xinyan Velocity Yu
Jason Eisner
Holden Lee
Ryan Cotterell
BDL
23
1
0
29 Dec 2023
Structure-Aware Path Inference for Neural Finite State Transducers
Structure-Aware Path Inference for Neural Finite State Transducers
Weiting Tan
Chu-cheng Lin
Jason Eisner
18
0
0
21 Dec 2023
On the Representational Capacity of Recurrent Neural Language Models
On the Representational Capacity of Recurrent Neural Language Models
Franz Nowak
Anej Svete
Li Du
Ryan Cotterell
13
1
0
19 Oct 2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata
Recurrent Neural Language Models as Probabilistic Finite-state Automata
Anej Svete
Ryan Cotterell
32
2
0
08 Oct 2023
Language Models as a Service: Overview of a New Paradigm and its
  Challenges
Language Models as a Service: Overview of a New Paradigm and its Challenges
Emanuele La Malfa
Aleksandar Petrov
Simon Frieder
Christoph Weinhuber
Ryan Burnell
Raza Nazar
Anthony Cohn
Nigel Shadbolt
Michael Wooldridge
ALM
ELM
35
3
0
28 Sep 2023
A Geometric Notion of Causal Probing
A Geometric Notion of Causal Probing
Clément Guerner
Anej Svete
Tianyu Liu
Alex Warstadt
Ryan Cotterell
LLMSV
38
12
0
27 Jul 2023
On the Efficacy of Sampling Adapters
On the Efficacy of Sampling Adapters
Clara Meister
Tiago Pimentel
Luca Malagutti
Ethan Gotlieb Wilcox
Ryan Cotterell
35
12
0
07 Jul 2023
A Cross-Linguistic Pressure for Uniform Information Density in Word
  Order
A Cross-Linguistic Pressure for Uniform Information Density in Word Order
T. H. Clark
Clara Meister
Tiago Pimentel
Michael Hahn
Ryan Cotterell
Richard Futrell
Saarland University
27
13
0
06 Jun 2023
Structured Voronoi Sampling
Structured Voronoi Sampling
Afra Amini
Li Du
Ryan Cotterell
DiffM
27
1
0
05 Jun 2023
MixCE: Training Autoregressive Language Models by Mixing Forward and
  Reverse Cross-Entropies
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
Shiyue Zhang
Shijie Wu
Ozan Irsoy
Steven Lu
Joey Tianyi Zhou
Mark Dredze
David S. Rosenberg
23
9
0
26 May 2023
Deriving Language Models from Masked Language Models
Deriving Language Models from Masked Language Models
Lucas Torroba Hennigen
Yoon Kim
27
11
0
24 May 2023
Locally Typical Sampling
Locally Typical Sampling
Clara Meister
Tiago Pimentel
Gian Wiher
Ryan Cotterell
143
86
0
01 Feb 2022
A Recipe For Arbitrary Text Style Transfer with Large Language Models
A Recipe For Arbitrary Text Style Transfer with Large Language Models
Emily Reif
Daphne Ippolito
Ann Yuan
Andy Coenen
Chris Callison-Burch
Jason W. Wei
224
117
0
08 Sep 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,588
0
03 Sep 2019
1