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SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation
  for Understanding Spatial Reasoning Capability of Large Language Models

SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models

7 June 2024
Md Imbesat Hassan Rizvi
Xiaodan Zhu
Iryna Gurevych
    LRM
ArXivPDFHTML

Papers citing "SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models"

4 / 4 papers shown
Title
A Call for New Recipes to Enhance Spatial Reasoning in MLLMs
A Call for New Recipes to Enhance Spatial Reasoning in MLLMs
Huanyu Zhang
Chengzu Li
Wenshan Wu
Shaoguang Mao
Yan Xia
Ivan Vulić
Z. Zhang
Liang Wang
T. Tan
Furu Wei
LRM
31
1
0
21 Apr 2025
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
Spatial Reasoning from Natural Language Instructions for Robot
  Manipulation
Spatial Reasoning from Natural Language Instructions for Robot Manipulation
S. Gubbi
Anirban Biswas
Raviteja Upadrashta
V. Srinivasan
Partha P. Talukdar
B. Amrutur
LM&Ro
LRM
48
29
0
26 Dec 2020
1