While large language models (LLMs) have demonstrated remarkable reasoning capabilities,
they are not without their flaws and inaccuracies. Recent studies have introduced various …

Graphs play an important role in representing complex relationships in various domains like
social networks, knowledge graphs, and molecular discovery. With the advent of deep …

Recent advancements in Large Language Models (LLMs) have sparked a revolution across
many research fields. In robotics, the integration of common-sense knowledge from LLMs …

This paper explores the integration of two AI subdisciplines employed in the development of
artificial agents that exhibit intelligent behavior: Large Language Models (LLMs) and …

We tackle the task of enriching ontologies by automatically translating natural language (NL)
into Description Logic (DL). Since Large Language Models (LLMs) are the best tools for …

The opioid crisis has been one of the most critical society concerns in the United States.
Although the medication assisted treatment (MAT) is recognized as the most effective …

With the emergence of advanced reasoning models like OpenAI o3 and DeepSeek-R1,
large language models (LLMs) have demonstrated remarkable reasoning capabilities …

Human fact-checkers have specialized domain knowledge that allows them to formulate
precise questions to verify information accuracy. However, this expert-driven approach is …

Large Language Models (LLMs) have shown superior capability to solve reasoning
problems with programs. While being a promising direction, most of such frameworks are …

Symbols (or more broadly, non-natural language textual representations) such as numerical
sequences, molecular formulas, and table delimiters widely exist, playing important roles in …