2 papers
cs.LG2025
Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework
Yuan Xia, Akanksha Atrey, Fadoua Khmaissia +1
This paper investigates the logical reasoning capabilities of large language models (LLMs). For a precisely defined yet tractable formulation, we choose the conceptually simple but…
cs.IR2025
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
Pengfei Luo, Jingbo Zhou, Tong Xu +3
With the proliferation of images in online content, language-guided image retrieval (LGIR) has emerged as a research hotspot over the past decade, encompassing a variety of subtask…