Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning

25 October 2023

Papers citing "Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning"

7 / 7 papers shown

Title
Prompt2DeModel: Declarative Neuro-Symbolic Modeling with Natural Language Hossein Rajaby Faghihi Aliakbar Nafar Andrzej Uszok Hamid Karimian Parisa Kordjamshidi 16 0 0 30 Jul 2024
Neuro-symbolic Training for Reasoning over Spatial Language Tanawan Premsri Parisa Kordjamshidi NAI LRM 29 5 0 19 Jun 2024
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models Md Imbesat Hassan Rizvi Xiaodan Zhu Iryna Gurevych LRM 14 1 0 07 Jun 2024
AS-ES Learning: Towards Efficient CoT Learning in Small Models Nuwa Xi Yuhan Chen Sendong Zhao Hao Wang Bing Qin Ting Liu LRM 36 1 0 04 Mar 2024
Large Language Models are Strong Zero-Shot Retriever Tao Shen Guodong Long Xiubo Geng Chongyang Tao Tianyi Zhou Daxin Jiang RALM KELM 32 33 0 27 Apr 2023
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
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 42 29 0 26 Dec 2020