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2406.14197
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On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
20 June 2024
Franz Nowak
Anej Svete
Alexandra Butoi
Ryan Cotterell
ReLM
LRM
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Papers citing
"On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning"
12 / 12 papers shown
Title
Unique Hard Attention: A Tale of Two Sides
Selim Jerad
Anej Svete
Jiaoda Li
Ryan Cotterell
49
0
0
18 Mar 2025
Self-Training Elicits Concise Reasoning in Large Language Models
Tergel Munkhbat
Namgyu Ho
S. Kim
Yongjin Yang
Yujin Kim
Se-Young Yun
ReLM
LRM
48
10
0
27 Feb 2025
Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation
H. Yang
Qianghua Zhao
Lei Li
AI4CE
LRM
61
1
0
05 Dec 2024
An
L
∗
\mathbf{L^*}
L
∗
Algorithm for Deterministic Weighted Regular Languages
Clemente Pasti
Talu Karagöz
Anej Svete
Franz Nowak
Reda Boumasmoud
Ryan Cotterell
32
0
0
09 Nov 2024
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Kaiyue Wen
Huaqing Zhang
Hongzhou Lin
Jingzhao Zhang
MoE
LRM
42
2
0
07 Oct 2024
Can Transformers Learn
n
n
n
-gram Language Models?
Anej Svete
Nadav Borenstein
M. Zhou
Isabelle Augenstein
Ryan Cotterell
19
6
0
03 Oct 2024
Questioning Internal Knowledge Structure of Large Language Models Through the Lens of the Olympic Games
Juhwan Choi
Youngbin Kim
30
0
0
10 Sep 2024
Representing Rule-based Chatbots with Transformers
Dan Friedman
Abhishek Panigrahi
Danqi Chen
44
1
0
15 Jul 2024
Lower Bounds on the Expressivity of Recurrent Neural Language Models
Anej Svete
Franz Nowak
Anisha Mohamed Sahabdeen
Ryan Cotterell
19
0
0
29 May 2024
Transformers Can Represent
n
n
n
-gram Language Models
Anej Svete
Ryan Cotterell
24
17
0
23 Apr 2024
Chain-of-Thought Reasoning Without Prompting
Xuezhi Wang
Denny Zhou
ReLM
LRM
135
97
0
15 Feb 2024
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
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