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Arithmetic with Language Models: from Memorization to Computation

Arithmetic with Language Models: from Memorization to Computation

2 August 2023
Davide Maltoni
Matteo Ferrara
    KELM
    LRM
ArXivPDFHTML

Papers citing "Arithmetic with Language Models: from Memorization to Computation"

9 / 9 papers shown
Title
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of
  Heuristics
Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics
Yaniv Nikankin
Anja Reusch
Aaron Mueller
Yonatan Belinkov
AIFin
LRM
33
21
0
28 Oct 2024
Language Models Encode Numbers Using Digit Representations in Base 10
Language Models Encode Numbers Using Digit Representations in Base 10
Amit Arnold Levy
Mor Geva
19
4
0
15 Oct 2024
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
Owen Dugan
Donato Manuel Jimenez Beneto
Charlotte Loh
Zhuo Chen
Rumen Dangovski
Marin Soljacic
LRM
29
1
0
04 Jun 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
218
2,232
0
22 Mar 2023
The activity-weight duality in feed forward neural networks: The
  geometric determinants of generalization
The activity-weight duality in feed forward neural networks: The geometric determinants of generalization
Yu Feng
Yuhai Tu
MLT
63
13
0
21 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
315
8,261
0
28 Jan 2022
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
221
402
0
24 Feb 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
1