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NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models

7 September 2021
Zhihua Jin
Xin Jiang
Xingbo Wang
Qun Liu
Yong Wang
Xiaozhe Ren
Huamin Qu
ArXivPDFHTML

Papers citing "NumGPT: Improving Numeracy Ability of Generative Pre-trained Models"

15 / 15 papers shown
Title
Gem: Gaussian Mixture Model Embeddings for Numerical Feature
  Distributions
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
Hafiz Tayyab Rauf
Alex Bogatu
N. Paton
André Freitas
18
0
0
09 Oct 2024
Is larger always better? Evaluating and prompting large language models
  for non-generative medical tasks
Is larger always better? Evaluating and prompting large language models for non-generative medical tasks
Yinghao Zhu
Junyi Gao
Zixiang Wang
Weibin Liao
Xiaochen Zheng
Lifang Liang
Yasha Wang
Chengwei Pan
Ewen M. Harrison
Liantao Ma
ELM
LM&MA
AI4MH
51
2
0
26 Jul 2024
Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
Numbers Matter! Bringing Quantity-awareness to Retrieval Systems
Satya Almasian
Milena Bruseva
Michael Gertz
20
0
0
14 Jul 2024
Exploring Internal Numeracy in Language Models: A Case Study on ALBERT
Exploring Internal Numeracy in Language Models: A Case Study on ALBERT
Ulme Wennberg
G. Henter
MILM
33
1
0
25 Apr 2024
Prompting Large Language Models for Zero-Shot Clinical Prediction with
  Structured Longitudinal Electronic Health Record Data
Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
Yinghao Zhu
Zixiang Wang
Junyi Gao
Yuning Tong
Jingkun An
Weibin Liao
Ewen M. Harrison
Liantao Ma
Chengwei Pan
LM&MA
41
8
0
25 Jan 2024
Exploring the Numerical Reasoning Capabilities of Language Models: A
  Comprehensive Analysis on Tabular Data
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
Mubashara Akhtar
Abhilash Shankarampeta
Vivek Gupta
Arpit Patil
O. Cocarascu
Elena Simperl
LRM
ReLM
LMTD
ELM
37
21
0
03 Nov 2023
Movie Box Office Prediction With Self-Supervised and Visually Grounded
  Pretraining
Movie Box Office Prediction With Self-Supervised and Visually Grounded Pretraining
Qin Chao
Eunsoo Kim
Boyang Albert Li
13
1
0
20 Apr 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
25
19
0
14 Mar 2023
Tree-Based Representation and Generation of Natural and Mathematical
  Language
Tree-Based Representation and Generation of Natural and Mathematical Language
Alexander Scarlatos
Andrew S. Lan
6
18
0
15 Feb 2023
Do Language Models Understand Measurements?
Do Language Models Understand Measurements?
Sungjin Park
Seung-kook Ryu
E. Choi
ReLM
LRM
34
4
0
23 Oct 2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning
  with Language Models
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
Alessandro Stolfo
Zhijing Jin
Kumar Shridhar
Bernhard Schölkopf
Mrinmaya Sachan
ELM
OOD
LRM
30
61
0
21 Oct 2022
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical
  Text by Leveraging External Knowledge
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge
Ashwani Tanwar
Jingqing Zhang
Julia Ive
Vibhor Gupta
Yike Guo
9
3
0
19 Apr 2022
Masked Measurement Prediction: Learning to Jointly Predict Quantities
  and Units from Textual Context
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context
Daniel M. Spokoyny
Ivan Lee
Zhao Jin
Taylor Berg-Kirkpatrick
8
8
0
16 Dec 2021
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining
Zhoujun Cheng
Haoyu Dong
Ran Jia
Pengfei Wu
Shi Han
Fan Cheng
Dongmei Zhang
AIMat
ReLM
LMTD
LRM
22
27
0
15 Sep 2021
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
294
6,950
0
20 Apr 2018
1