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cs.AI2026
When Does Persona Prompting Actually Help? A Retrieval and Metric Analysis of Expert Role Injection in LLMs
Shuai Xiao, Su Liu, Weikai Zhou +4
Persona prompting is widely used to steer large language models, yet its practical value remains unclear. Prior work often evaluates persona prompting using aggregate scores, makin…
cs.AI2025
Evaluating Multi-Turn Bargain Skills in LLM-Based Seller Agent
Issue Yishu Wang, Kakam Chong, Xiaofeng Wang +7
In online second-hand marketplaces, multi-turn bargaining is a crucial part of seller-buyer interactions. Large Language Models (LLMs) can act as seller agents, negotiating with bu…
cs.AI2025
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
Zihan Ling, Zhiyao Guo, Yixuan Huang +5
Recent advancements in large language models (LLMs) and multi-modal LLMs have been remarkable. However, these models still rely solely on their parametric knowledge, which limits t…