Generated Analyses: Dyck Languages, Geometric Shapes, and More

Written by transcompiler | Published 2025/03/22
Tech Story Tags: algorithmic-reasoning-in-lm | pseudocode-reasoning | language-model-optimization | task-level-logic | language-models | think-and-execute-framework | python-programming | dyck-languages

TLDRGenerated analysis of dyck languages, geometric shapes, reasoning about colored objects, and more.via the TL;DR App

Table of Links

Abstract and 1. Introduction

2 Think-and-Execute

3 Experimental Setup

4 Results

5 Analysis

6 Related Work

7 Limitations and Discussion

8 Conclusion and References

A Experimental Details

B Details of Think-and-Execute

C Prompts Used in Our Experiments

D Human-written Pseudocode Prompts

E Generated Analyses

F Generated Pseudocode Prompts

G Qualitative Analysis

E Generated Analyses

E.1 Generated Analysis of Dyck Languages

E.2 Generated Analysis of Geometric Shapes

E.3 Generated Analysis of Navigate

E.4 Generated Analysis for Reasoning about Colored Objects

E.5 Generated Analysis of Temporal Sequences

E.6 Generated Analysis of Tracking Shuffled Objectives

E.7 Generated Analysis 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.


Written by transcompiler | Transcompiler.Tech teaches you how to convert code from one programming language to another.
Published by HackerNoon on 2025/03/22