2 papers
cs.CL2025
An Empirical Study on Prompt Compression for Large Language Models
Zheng Zhang, Jinyi Li, Yihuai Lan +2
Prompt engineering enables Large Language Models (LLMs) to perform a variety of tasks. However, lengthy prompts significantly increase computational complexity and economic costs.…
cs.AI2025
DVM: Towards Controllable LLM Agents in Social Deduction Games
Zheng Zhang, Yihuai Lan, Yangsen Chen +3
Large Language Models (LLMs) have advanced the capability of game agents in social deduction games (SDGs). These games rely heavily on conversation-driven interactions and require…