17 citations · 20 across the 5 of their papers we have counts for
5 papers
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Yuyan Chen, Qiang Fu, Ge Fan +6
Recent years, Pre-trained Language models (PLMs) have swept into various fields of artificial intelligence and achieved great success. However, most PLMs, such as T5 and GPT3, have…
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
Yuyan Chen, Qiang Fu, Yichen Yuan +6
Large Language Models (LLMs) have gained widespread adoption in various natural language processing tasks, including question answering and dialogue systems. However, a major drawb…
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
Yuyan Chen, Zhihao Wen, Ge Fan +6
Prompt engineering, as an efficient and effective way to leverage Large Language Models (LLM), has drawn a lot of attention from the research community. The existing research prima…
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
Ge Fan, Chaoyun Zhang, Kai Wang +3
The multiplayer online battle arena (MOBA) genre has gained significant popularity and economic success, attracting considerable research interest within the Human-Computer Interac…
QuickSkill: Novice Skill Estimation in Online Multiplayer Games
Chaoyun Zhang, Kai Wang, Hao Chen +4
Matchmaking systems are vital for creating fair matches in online multiplayer games, which directly affects players' satisfactions and game experience. Most of the matchmaking syst…