The resulting state transitions define another type of graph called state transition graph (STG), which represents the dynamical behavior of the logical model (i.e., the regulatory graph + logical ...

Complex multi-hop logical queries are a highly regarded problem in the field of knowledge graphs. The challenge lies in whether the query model can effectively rely on observed entities and edges to ...

Machine reading comprehension (MRC) poses new challenges over logical reasoning, which aims to understand the implicit logical relations entailed in the given contexts and perform inference over them.

Large language models (LLMs) have been shown to struggle with complex logical reasoning tasks due to the inherent ambiguity and complexity of natural language. These challenges are further amplified ...

Logical Systems and Model Theory Publication Trend The graph below shows the total number of publications each year in Logical Systems and Model Theory.

Researchers introduced the "Diagram of Thought" (DoT) framework, enhancing large language models' reasoning through a ...

GREmLN focuses on the “molecular logic” that defines how genes interact and influence each other. This illustration highlights how the model uniquely captures gene interaction and the influence of ...

The Diagram of Thought (DoT) framework builds upon these prior approaches, integrating their strengths into a unified model within a single LLM. By representing reasoning as a directed acyclic graph ...