Showing cs.CLShow all
3 papers · 1 filter
cs.CL2024
Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production
Junhua Liu, Yong Keat Tan, Bin Fu +1
Accurate multi-turn intent classification is essential for advancing conversational AI systems. However, challenges such as the scarcity of comprehensive datasets and the complexit…
cs.CL2024
From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification
Junhua Liu, Yong Keat Tan, Bin Fu +1
In conversational AI systems, a critical challenge in training effective multi-turn intent classification models lies in the generation of large-scale, domain-specific, multilingua…
cs.CL2024
Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact
Junhua Liu, Bin Fu
Multilingual Large Language Models (MLLMs) represent a pivotal advancement in democratizing artificial intelligence across linguistic boundaries. While theoretical foundations are…