ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.07384
  4. Cited By
Probing Quantifier Comprehension in Large Language Models: Another
  Example of Inverse Scaling

Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling

12 June 2023
Akshat Gupta
    ELM
    LRM
ArXivPDFHTML

Papers citing "Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling"

8 / 8 papers shown
Title
Generics are puzzling. Can language models find the missing piece?
Generics are puzzling. Can language models find the missing piece?
Gustavo Cilleruelo Calderón
Emily Allaway
Barry Haddow
Alexandra Birch
69
0
0
15 Dec 2024
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers
Zhang Enyan
Zewei Wang
Michael A. Lepori
Ellie Pavlick
Helena Aparicio
21
1
0
17 Oct 2024
Revealing the Unwritten: Visual Investigation of Beam Search Trees to
  Address Language Model Prompting Challenges
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges
Thilo Spinner
Rebecca Kehlbeck
R. Sevastjanova
Tobias Stähle
Daniel A. Keim
Oliver Deussen
Andreas Spitz
Mennatallah El-Assady
30
2
0
17 Oct 2023
Assessing the Reliability of Large Language Model Knowledge
Assessing the Reliability of Large Language Model Knowledge
Weixuan Wang
Barry Haddow
Alexandra Birch
Wei Peng
KELM
HILM
66
15
0
15 Oct 2023
Can Large Language Models Truly Understand Prompts? A Case Study with
  Negated Prompts
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang
Seonghyeon Ye
Minjoon Seo
ELM
LRM
89
64
0
26 Sep 2022
Negation, Coordination, and Quantifiers in Contextualized Language
  Models
Negation, Coordination, and Quantifiers in Contextualized Language Models
A. Kalouli
R. Sevastjanova
C. Beck
Maribel Romero
37
11
0
16 Sep 2022
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
308
11,915
0
04 Mar 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,950
0
20 Apr 2018
1