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Assessing the Emergent Symbolic Reasoning Abilities of Llama Large
  Language Models

Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models

5 June 2024
Flavio Petruzzellis
Alberto Testolin
A. Sperduti
    ReLM
    LRM
ArXivPDFHTML

Papers citing "Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models"

5 / 5 papers shown
Title
Transformers discover an elementary calculation system exploiting local
  attention and grid-like problem representation
Transformers discover an elementary calculation system exploiting local attention and grid-like problem representation
Samuel Cognolato
Alberto Testolin
21
7
0
06 Jul 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 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
301
11,730
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
315
8,261
0
28 Jan 2022
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