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NEC Laboratories Europe

Chia-Chien Hung

Research Scientist

Group Involvement, NEC Laboratories Europe

Human-Centric AI Group

Research Interests

Natural Language Processing
Conversational AI 
Explainable AI


  • Chia-Chien Hung, Wiem Ben Rim, Lindsay Frost, Lars Bruckner, Carolin Lawrence. Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains. GenBench Workshop [The first workshop on (benchmarking) generalisation in NLP] (EMNLP Workshop) 2023.
  • Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavaš. Linking Surface Facts to Large-Scale Knowledge Graphs. EMNLP 2023.
  • Chia-Chien Hung, Lukas Lange, Jannik Strötgen. TADA: Efficient Task-Agnostic Domain Adaptation for Transformers. ACL 2023.
  • Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto, and Goran Glavaš. 2023. Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers. (EACL 2023)
  • Chia-Chien Hung, Anne Lauscher, Ivan Vulić, Simone Paolo Ponzetto, and Goran Glavaš. Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog. (NAACL 2022)
  • Chia-Chien Hung, Tommaso Green, Robert Litschko, Tornike Tsereteli, Sotaro Takeshita, Marco Bombieri, Goran Glavaš, and Simone Paolo Ponzetto. ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System. (MIA@NAACL 2022)
  • Chia-Chien Hung, Anne Lauscher, Simone Paolo Ponzetto, and Goran Glavaš. DS-TOD: Efficient Domain Specialization for Task-Oriented Dialog. (ACL 2022)




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