3 papers
cs.CL2026
BizSage: A Self-Evolving Multi-Agent Framework for Business Research with Efficient Knowledge Retrieval
Yuhe Wu, Guangyu Wang, Jiaxin Liu +1
While multi-agent systems based on large language models (LLMs) have shown promise in automating the progressive workflow of academic research, extending them to economics and busi…
cs.AI2026
Caught in the Story: Narrative Captivity in Multi-turn LLMs Conversation
Yuhe Wu, Guangyu Wang, Yujie Chen +7
People increasingly turn to large language models (LLMs) for everyday advice, making ethically charged interpersonal problems a practical moral-advisory context. Most prior work ha…
cs.CL2026
PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
Yuhe Wu, Guangyu Wang, Yuran Chen +6
As large language models (LLMs) evolve from conversational assistants into agents capable of handling complex tasks, they are increasingly deployed in high-risk domains. However, e…