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Probing neural language models for understanding of words of estimative
  probability

Probing neural language models for understanding of words of estimative probability

7 November 2022
Damien Sileo
Marie-Francine Moens
ArXivPDFHTML

Papers citing "Probing neural language models for understanding of words of estimative probability"

15 / 15 papers shown
Title
MindGames: Targeting Theory of Mind in Large Language Models with
  Dynamic Epistemic Modal Logic
MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic
Damien Sileo
Antoine Lernould
LRM
31
26
0
05 May 2023
Beyond the Imitation Game: Quantifying and extrapolating the
  capabilities of language models
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava
Abhinav Rastogi
Abhishek Rao
Abu Awal Md Shoeb
Abubakar Abid
...
Zhuoye Zhao
Zijian Wang
Zijie J. Wang
Zirui Wang
Ziyi Wu
ELM
140
1,746
0
09 Jun 2022
Distributed NLI: Learning to Predict Human Opinion Distributions for
  Language Reasoning
Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning
Xiang Zhou
Yixin Nie
Joey Tianyi Zhou
UQCV
38
29
0
18 Apr 2021
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and
  Strong Baselines
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Marius Mosbach
Maksym Andriushchenko
Dietrich Klakow
139
357
0
08 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
602
41,736
0
28 May 2020
A Primer in BERTology: What we know about how BERT works
A Primer in BERTology: What we know about how BERT works
Anna Rogers
Olga Kovaleva
Anna Rumshisky
OffRL
80
1,494
0
27 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
326
1,613
0
21 Jan 2020
Probing Natural Language Inference Models through Semantic Fragments
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson
Hai Hu
L. Moss
Ashish Sabharwal
50
149
0
16 Sep 2019
Uncertain Natural Language Inference
Uncertain Natural Language Inference
Tongfei Chen
Zhengping Jiang
Adam Poliak
Keisuke Sakaguchi
Benjamin Van Durme
UQLM
45
58
0
06 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
514
24,351
0
26 Jul 2019
Stress Test Evaluation for Natural Language Inference
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik
Abhilasha Ravichander
Norman M. Sadeh
Carolyn Rose
Graham Neubig
ELM
67
376
0
02 Jun 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
493
4,473
0
18 Apr 2017
Ordinal Common-sense Inference
Ordinal Common-sense Inference
Sheng Zhang
Rachel Rudinger
Kevin Duh
Benjamin Van Durme
LRM
53
121
0
02 Nov 2016
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
280
4,278
0
21 Aug 2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Jason Weston
Antoine Bordes
S. Chopra
Alexander M. Rush
Bart van Merriënboer
Armand Joulin
Tomas Mikolov
LRM
ELM
133
1,180
0
19 Feb 2015
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