papers
Publications (3)
cs.IR2024
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
Jun Yin, Zhengxin Zeng, Mingzheng Li +11
Owing to the unprecedented capability in semantic understanding and logical reasoning, the pre-trained large language models (LLMs) have shown fantastic potential in developing the…
cs.SE2026
AdNanny: One Reasoning LLM for All Offline Ads Recommendation Tasks
Nan Hu, Han Li, Jimeng Sun +16
Large Language Models (LLMs) have shown strong capabilities in Natural Language Understanding and Generation, but deploying them directly in online advertising systems is often imp…
cond-mat.soft2025
Shape-controlled growth of two-dimensional kagome-lattice colloidal crystals through nanoparticle capping
Rui Huang, Jordan Austin-Frank Wilson, Allen Sun +2
Organic capping ligands can selectively bind to crystal facets to modulate growth kinetics and are important in chemical synthesis of inorganic nanocrystals. Using the capping liga…