Out-of-Task Training for Dialog State Tracking Models. - Michael Heck; Christian Geishauser; Hsien-Chin Lin; Nurul Lubis; Marco Moresi; Carel van Niekerk; Milica Gasic (COLING, 2020)

LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization. - Nurul Lubis; Christian Geishauser; Michael Heck; Hsien-Chin Lin; Marco Moresi; Carel van Niekerk; Milica Gasic (COLING, 2020)

Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles. - Carel van Niekerk; Michael Heck; Christian Geishauser; Hsien-Chin Lin; Nurul Lubis; Marco Moresi; Milica Gasic (EMNLP (Findings), 2020)

TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking. - Michael Heck; Carel van Niekerk; Nurul Lubis; Christian Geishauser; Hsien-Chin Lin; Marco Moresi; Milica Gasic (SIGdial, 2020)

What does the User Want? Information Gain for Hierarchical Dialogue Policy Optimisation. - Christian Geishauser; Songbo Hu; Hsien-Chin Lin; Nurul Lubis; Michael Heck; Shutong Feng; Carel van Niekerk; Milica Gasic (ASRU, 2021)

Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance. - Carel van Niekerk; Andrey Malinin; Christian Geishauser; Michael Heck; Hsien-Chin Lin; Nurul Lubis; Shutong Feng; Milica Gasic (EMNLP (1), 2021)

Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems. - Hsien-Chin Lin; Nurul Lubis; Songbo Hu; Carel van Niekerk; Christian Geishauser; Michael Heck; Shutong Feng; Milica Gasic (SIGDIAL, 2021)

EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion in Task-Oriented Dialogue Systems. - Shutong Feng; Nurul Lubis; Christian Geishauser; Hsien-Chin Lin; Michael Heck; Carel van Niekerk; Milica Gasic (CoRR, 2021)

Dynamic Dialogue Policy for Continual Reinforcement Learning. - Christian Geishauser; Carel van Niekerk; Hsien-Chin Lin; Nurul Lubis; Michael Heck; Shutong Feng; Milica Gasic (COLING, 2022)

EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems. - Shutong Feng; Nurul Lubis; Christian Geishauser; Hsien-Chin Lin; Michael Heck; Carel van Niekerk; Milica Gasic (LREC, 2022)

GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers. - Hsien-Chin Lin; Christian Geishauser; Shutong Feng; Nurul Lubis; Carel van Niekerk; Michael Heck; Milica Gasic (SIGDIAL, 2022)

Dialogue Evaluation with Offline Reinforcement Learning. - Nurul Lubis; Christian Geishauser; Hsien-Chin Lin; Carel van Niekerk; Michael Heck; Shutong Feng; Milica Gasic (SIGDIAL, 2022)

Dynamic Dialogue Policy Transformer for Continual Reinforcement Learning. - Christian Geishauser; Carel van Niekerk; Nurul Lubis; Michael Heck; Hsien-Chin Lin; Shutong Feng; Milica Gasic (CoRR, 2022)

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. - Qi Zhu 007; Christian Geishauser; Hsien-Chin Lin; Carel van Niekerk; Baolin Peng; Zheng Zhang 020; Michael Heck; Nurul Lubis; Dazhen Wan; Xiaochen Zhu; Jianfeng Gao 001; Milica Gasic; et al. (CoRR, 2022)

Robust Dialogue State Tracking with Weak Supervision and Sparse Data. - Michael Heck; Nurul Lubis; Carel van Niekerk; Shutong Feng; Christian Geishauser; Hsien-Chin Lin; Milica Gasic (Trans. Assoc. Comput. Linguistics, 2022)

ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? - Michael Heck; Nurul Lubis; Benjamin Matthias Ruppik; Renato Vukovic; Shutong Feng; Christian Geishauser; Hsien-Chin Lin; Carel van Niekerk; Milica Gasic (ACL (2), 2023)

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. - Qi Zhu 007; Christian Geishauser; Hsien-Chin Lin; Carel van Niekerk; Baolin Peng; Zheng Zhang 020; Shutong Feng; Michael Heck; Nurul Lubis; Dazhen Wan; Xiaochen Zhu; Jianfeng Gao 001; et al. (EMNLP (Demos), 2023)

From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue. - Shutong Feng; Nurul Lubis; Benjamin Matthias Ruppik; Christian Geishauser; Michael Heck; Hsien-Chin Lin; Carel van Niekerk; Renato Vukovic; Milica Gasic (SIGDIAL, 2023)

EmoUS: Simulating User Emotions in Task-Oriented Dialogues. - Hsien-Chin Lin; Shutong Feng; Christian Geishauser; Nurul Lubis; Carel van Niekerk; Michael Heck; Benjamin Matthias Ruppik; Renato Vukovic; Milica Gasic (SIGIR, 2023)

CAMELL: Confidence-based Acquisition Model for Efficient Self-supervised Active Learning with Label Validation. - Carel van Niekerk; Christian Geishauser; Michael Heck; Shutong Feng; Hsien-Chin Lin; Nurul Lubis; Benjamin Matthias Ruppik; Renato Vukovic; Milica Gasic (CoRR, 2023)

Infusing Emotions into Task-oriented Dialogue Systems: Understanding, Management, and Generation. - Shutong Feng; Hsien-Chin Lin; Christian Geishauser; Nurul Lubis; Carel van Niekerk; Michael Heck; Benjamin Matthias Ruppik; Renato Vukovic; Milica Gasic (SIGDIAL, 2024)

Learning With an Open Horizon in Ever-Changing Dialogue Circumstances. - Christian Geishauser; Carel van Niekerk; Nurul Lubis; Hsien-Chin Lin; Michael Heck; Shutong Feng; Benjamin Matthias Ruppik; Renato Vukovic; Milica Gasic (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Dense Rewards and Continual Reinforcement Learning for Task-oriented Dialogue Policies. - Christian Geishauser (2024)

Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling. - Michael Heck; Christian Geishauser; Nurul Lubis; Carel van Niekerk; Shutong Feng; Hsien-Chin Lin; Benjamin Matthias Ruppik; Renato Vukovic; Milica Gasic (AAAI, 2025)

A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction. - Carel van Niekerk; Christian Geishauser; Michael Heck; Shutong Feng; Hsien-Chin Lin; Nurul Lubis; Benjamin Matthias Ruppik; Renato Vukovic; Milica Gasic (Trans. Assoc. Comput. Linguistics, 2025)