TL;DR —
Some examples of generated pseudocode prompts during our experiments.
Table of Links
B Details of Think-and-Execute
C Prompts Used in Our Experiments
D Human-written Pseudocode Prompts
F Generated Pseudocode Prompts
F Generated Pseudocode Prompts
F.1 Generated P of Dyck Languages
F.2 Generated P of Geometric Shapes
F.3 Generated P of Navigate
F.4 Generated P for Reasoning about Colored Objects
F.5 Generated P of Temporal Sequences
F.6 Generated P of Tracking Shuffled Objectives
F.7 Generated P of Web of Lies
This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
Authors:
(1) Hyungjoo Chae, Yonsei University;
(2) Yeonghyeon Kim, Yonsei University;
(3) Seungone Kim, KAIST AI;
(4) Kai Tzu-iunn Ong, Yonsei University;
(5) Beong-woo Kwak, Yonsei University;
(6) Moohyeon Kim, Yonsei University;
(7) Seonghwan Kim, Yonsei University;
(8) Taeyoon Kwon, Yonsei University;
(9) Jiwan Chung, Yonsei University;
(10) Youngjae Yu, Yonsei University;
(11) Jinyoung Yeo, Yonsei University.
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Topics and
tags
tags
algorithmic-reasoning-in-lm|pseudocode-reasoning|language-model-optimization|task-level-logic|language-models|think-and-execute-framework|python-programming|pseudocode
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