publications

Prompt Reinforcing for Long-Term Planning of Large Language Models

Hsien-Chin Lin, Benjamin Matthias Ruppik, Carel van Niekerk, Chia-Hao Shen, Michael Heck, Nurul Lubis, Renato Vukovic, Shutong Feng, Milica Gašić

Post-Training Large Language Models via Reinforcement Learning from Self-Feedback

Carel van Niekerk, Renato Vukovic, Benjamin Matthias Ruppik, et al.

Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection

Renato Vukovic, Hsien-chin Lin, Carel van Niekerk, Benjamin Ruppik, Michael Heck, Shutong Feng, Nurul Lubis, Milica Gasic

Text-to-SQL Task-oriented Dialogue Ontology Construction

Renato Vukovic, Carel van Niekerk, Michael Heck, Benjamin Ruppik, Hsien-Chin Lin, Shutong Feng, Nurul Lubis, Milica Gasic

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 Ruppik, Renato Vukovic, Milica Gašić

Less is More: Local Intrinsic Dimensions of Contextual Language Models

Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk, Michael Heck, et al.

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 Gašić

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 Ruppik, Renato Vukovic, Milica Gašić

Local Topology Measures of Contextual Language Model Latent Spaces with Applications to Dialogue Term Extraction

Benjamin Matthias Ruppik, Michael Heck, Carel van Niekerk, Renato Vukovic, Hsien-chin Lin, Shutong Feng, Marcus Zibrowius, Milica Gašić

Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding

Renato Vukovic, David Arps, Carel van Niekerk, Benjamin Matthias Ruppik, Hsien-Chin Lin, Michael Heck, Milica Gašić

Learning with an Open Horizon in Ever-Changing Dialogue Circumstances

Uncertainty Estimation, Management, and Utilisation in Human-Computer Dialogue

ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?

Michael Heck, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Milica Gašić

From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue

Shutong Feng, Nurul Lubis, Benjamin Ruppik, Christian Geishauser, Michael Heck, Hsien-chin Lin, Carel van Niekerk, Renato Vukovic, Milica Ga\vsi\'c

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format

Qi Zhu, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Ga\vsi\'c, Minlie Huang

EmoUS: Simulating User Emotions in Task-Oriented Dialogues

Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Ruppik, Renato Vukovic, Milica Gašić

Dialogue Evaluation with Offline Reinforcement Learning

Nurul Lubis, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Ga\vsi\'c

Dynamic Dialogue Policy for Continual Reinforcement Learning

Christian Geishauser, Carel van Niekerk, Hsien-chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Milica Ga\vsi\'c

EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion in Task-Oriented Dialogue Systems

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 Ga\vsi\'c

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 Ga\vsi\'c

Dialogue Term Extraction using Transfer Learning and Topological Data Analysis

Renato Vukovic, Michael Heck, Benjamin Ruppik, Carel van Niekerk, Marcus Zibrowius, Milica Ga\vsi\'c

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 Gašić

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 Ga\vsi\'c

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 Gašić

Adaptable Conversational Machines

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 Ga\vsi\'c

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 Ga\vsi\'c

Out-of-Task Training for Dialog State Tracking Models

Michael Heck, Christian Geishauser, Hsien-chin Lin, Nurul Lubis, Marco Moresi, Carel van Niekerk, Milica Ga\vsi\'c

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 Ga\vsi\'c

Multiscale Spatial Modeling with Applications in Image Analysis