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. 2210.07471
  4. Cited By
"John is 50 years old, can his son be 65?" Evaluating NLP Models'
  Understanding of Feasibility

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility

14 October 2022
Himanshu Gupta
Neeraj Varshney
Swaroop Mishra
Kuntal Kumar Pal
Saurabh Arjun Sawant
Kevin Scaria
Siddharth Goyal
Chitta Baral
    ELM
ArXivPDFHTML

Papers citing ""John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility"

10 / 10 papers shown
Title
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability
  of Large Language Models
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar
Nisarg Patel
Neeraj Varshney
Mutsumi Nakamura
Man Luo
Santosh Mashetty
Arindam Mitra
Chitta Baral
LRM
ReLM
ELM
38
25
0
23 Apr 2024
Stable LM 2 1.6B Technical Report
Stable LM 2 1.6B Technical Report
Marco Bellagente
J. Tow
Dakota Mahan
Duy Phung
Maksym Zhuravinskyi
...
Paulo Rocha
Harry Saini
H. Teufel
Niccoló Zanichelli
Carlos Riquelme
OSLM
51
52
0
27 Feb 2024
Can NLP Models Correctly Reason Over Contexts that Break the Common
  Assumptions?
Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions?
Neeraj Varshney
Mihir Parmar
Nisarg Patel
Divij Handa
Sayantan Sarkar
Man Luo
Chitta Baral
LRM
34
4
0
20 May 2023
Can neural networks do arithmetic? A survey on the elementary numerical
  skills of state-of-the-art deep learning models
Can neural networks do arithmetic? A survey on the elementary numerical skills of state-of-the-art deep learning models
Alberto Testolin
AIMat
35
20
0
14 Mar 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
Ashwin Kalyan
ELM
ReLM
LRM
211
1,134
0
20 Sep 2022
BioTABQA: Instruction Learning for Biomedical Table Question Answering
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo
S. Saxena
Swaroop Mishra
Mihir Parmar
Chitta Baral
LMTD
160
15
0
06 Jul 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
384
12,081
0
04 Mar 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
447
8,699
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
218
1,664
0
15 Oct 2021
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
Investigating Numeracy Learning Ability of a Text-to-Text Transfer Model
Kuntal Kumar Pal
Chitta Baral
108
18
0
10 Sep 2021
1