3 papers
cs.IR2026
VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders
Shiteng Cao, Jingwen Liu, Junda She +1
Recent advancements in Large Language Models (LLMs) have demonstrated remarkable capabilities in reasoning, reflection, and tool utilization, unlocking new paradigms for automating…
cs.IR2026
Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model
Shiteng Cao, Xiaochong Lan, Yuwei Du +4
Local life service recommendation is distinct from general recommendation scenarios due to its strong living need-driven nature. Fundamentally, accurately identifying a user's imme…
cs.AI2025
The Thinking Spectrum: An Empirical Study of Tunable Reasoning in LLMs through Model Merging
Xiaochong Lan, Yu Zheng, Shiteng Cao +1
The growing demand for large language models (LLMs) with tunable reasoning capabilities in many real-world applications highlights a critical need for methods that can efficiently…