3 papers
cs.CL2026
On the Diversity of Analogy Making in Large Language Models
Yuanhao Shen, Daniel Xavier de Sousa, Caio César Sifuentes Barcelos +3
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…
cs.CL2026
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…
cs.LG2024
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence
Stephen Obadinma, Xiaodan Zhu, Hongyu Guo
In this work, we highlight and perform a comprehensive study on calibration attacks, a form of adversarial attacks that aim to trap victim models to be heavily miscalibrated withou…