most citedA Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

21 citations · 52 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2024

An Optimal Task Planning and Agent-aware Allocation Algorithm in Collaborative Tasks Combining with PDDL and POPF

Qiguang Chen, Ya-Jun Pan

Industry 4.0 proposes the integration of artificial intelligence (AI) into manufacturing and other industries to create smart collaborative systems which enhance efficiency. The ai…

cs.CL2024

AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought

Yongheng Zhang, Qiguang Chen, Min Li +2

Cross-lingual chain-of-thought can effectively complete reasoning tasks across languages, which gains increasing attention. Recently, dominant approaches in the literature improve…

cs.CL202413 cited

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Libo Qin, Qiguang Chen, Yuhang Zhou +6

Multilingual Large Language Models are capable of using powerful Large Language Models to handle and respond to queries in multiple languages, which achieves remarkable success in…

cs.CL20234 cited

End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions

Libo Qin, Wenbo Pan, Qiguang Chen +5

End-to-end task-oriented dialogue (EToD) can directly generate responses in an end-to-end fashion without modular training, which attracts escalating popularity. The advancement of…

cs.CL20232 cited

Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages

Libo Qin, Qiguang Chen, Fuxuan Wei +2

Chain-of-thought (CoT) is capable of eliciting models to explicitly generate reasoning paths, thus promoting reasoning accuracy and attracting increasing attention. Specifically, z…

cs.CL202311 cited

Through the Lens of Core Competency: Survey on Evaluation of Large Language Models

Ziyu Zhuang, Qiguang Chen, Longxuan Ma +7

From pre-trained language model (PLM) to large language model (LLM), the field of natural language processing (NLP) has witnessed steep performance gains and wide practical uses. T…