9 citations · 22 across the 10 of their papers we have counts for
10 papers
BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks
Weihong Du, Wenrui Liao, Binyu Yan +3
Large language model (LLM) based agents have shown great potential in following human instructions and automatically completing various tasks. To complete a task, the agent needs t…
Can Large Language Models Reason about the Region Connection Calculus?
Anthony G Cohn, Robert E Blackwell
Qualitative Spatial Reasoning is a well explored area of Knowledge Representation and Reasoning and has multiple applications ranging from Geographical Information Systems to Robot…
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions
Anthony G Cohn, Robert E Blackwell
We investigate the abilities of a representative set of Large language Models (LLMs) to reason about cardinal directions (CDs). To do so, we create two datasets: the first, co-crea…
Exploring Spatial Representations in the Historical Lake District Texts with LLM-based Relation Extraction
Erum Haris, Anthony G. Cohn, John G. Stell
Navigating historical narratives poses a challenge in unveiling the spatial intricacies of past landscapes. The proposed work addresses this challenge within the context of the Eng…
Advancing Spatial Reasoning in Large Language Models: An In-Depth Evaluation and Enhancement Using the StepGame Benchmark
Fangjun Li, David C. Hogg, Anthony G. Cohn
Artificial intelligence (AI) has made remarkable progress across various domains, with large language models like ChatGPT gaining substantial attention for their human-like text-ge…
An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8
Anthony G Cohn
Qualitative Spatial Reasoning (QSR) is well explored area of Commonsense Reasoning and has multiple applications ranging from Geographical Information Systems to Robotics and Compu…