1 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
On the Diversity of Analogy Making in Large Language Models
Yuanhao Shen, Daniel Xavier de Sousa, Caio César Sifuentes Barcelos +2
Large Language Models (LLMs) have demonstrated remarkable potential for analogy making, a core cognitive capability that drives novelty and creativity. While prior research has ext…
When Tools Hurt LLM Reasoning: State-Dependent Belief Revision under External Evidence
Yufeng Zhao, Junnan Liu, Hongwei Liu +4
Tool use is often assumed to monotonically improve reasoning, where external evidence is expected to help when relevant and be ignored when irrelevant. We show that this assumption…
IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
Yuanhao Shen, Daniel Xavier de Sousa, Ricardo Marçal +2
Innovation is a key driving force of human civilization. As the body of knowledge has grown considerably, bridging knowledge across different disciplines, where significant innovat…