3 papers
cs.CL2026
How Creative Are Large Language Models in Generating Molecules?
Wen Tao, Yiwei Wang, Peng Zhou +6
Molecule generation requires satisfying multiple chemical and biological constraints while searching a large and structured chemical space. This makes it a non-binary problem, wher…
cs.CL2025
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning
Tianle Zhang, Wanlong Fang, Jonathan Woo +3
The remarkable performance of Large Language Models (LLMs) can be enhanced with test-time computation, which relies on external tools and even other deep learning models. However,…
cs.LG2025
To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance
Wanlong Fang, Tianle Zhang, Alvin Chan
Multimodal learning often relies on aligning representations across modalities to enable effective information integration, an approach traditionally assumed to be universally bene…