3 papers
cs.AI2026
Beyond Uncertainty Reduction: Calibrated Planning for Interactive Diagnosis
Yue Zhou, Haiyang Zhou, Jin Zhang +6
Interactive medical diagnosis requires an agent to gather patient evidence through sequential questions before committing to a diagnosis. Large language models (LLMs) now make such…
cs.IR2026
Is Serving-Time Language-Model Inference Necessary for Recommendation? Evidence from Generative and Agentic Settings
Kong Wang, Zhongke He, Xiang Chen +4
Language models (LMs) are increasingly used in recommender systems to generate recommendations or coordinate recommendation tools. However, does their strong performance imply that…
cs.AI2026
FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
Jiaxuan Lu, Kong Wang, Yemin Wang +9
The integration of Large Language Models (LLMs) into the financial domain is driving a paradigm shift from passive information retrieval to dynamic, agentic interaction. While gene…