| 2026 | ACL | Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement. | Hao Li, Yizheng Sun, Viktor Schlegel, Kailai Yang, Riza Batista-Navarro, Goran Nenadic |
| 2026 | ACL | Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real World. | Yulong Wu, Viktor Schlegel, Riza Batista-Navarro |
| 2026 | EACL | ReciFine: Finely Annotated Recipe Dataset for Controllable Recipe Generation. | Nuhu Ibrahim, Rishi Ravikumar, Robert Stevens, Riza Batista-Navarro |
| 2026 | EACL | Knowledge Augmentation Enhances Token Classification for Recipe Understanding. | Nuhu Ibrahim, Robert Stevens, Riza Batista-Navarro |
| 2026 | EACL | Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction. | Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro |
| 2025 | ACL | Unravelling the Logic: Investigating the Generalisation of Transformers in Numerical Satisfiability Problems. | Tharindu Madusanka, Marco Valentino, Iqra Zahid, Ian Pratt-Hartmann, Riza Batista-Navarro |
| 2025 | ACL | BEDAA: Bayesian Enhanced DeBERTa for Uncertainty-Aware Authorship Attribution. | Iqra Zahid, Youcheng Sun, Riza Batista-Navarro |
| 2025 | COLING | Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic. | Abdullah Salem Khered, Youcef Benkhedda, Riza Batista-Navarro |
| 2025 | ECAI | DocDiscNER: Enhanced Document-Level Discontinuous NER via Coordination Ellipses Resolution and Self-Consistency Decoding. | Areej Alhassan, Viktor Schlegel, Rina Carines Cabral, Riza Batista-Navarro, Soyeon Caren Han, Josiah Poon, Goran Nenadic |
| 2025 | EMNLP | Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study. | Yizheng Sun, Hao Li, Chang Xu, Hongpeng Zhou, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun |
| 2025 | EMNLP | Natural Context Drift Undermines the Natural Language Understanding of Large Language Models. | Yulong Wu, Viktor Schlegel, Riza Batista-Navarro |
| 2025 | ICML | BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling. | Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian |
| 2025 | NAACL | LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models. | Yizheng Sun, Yanze Xin, Hao Li, Jingyuan Sun, Chenghua Lin, Riza Batista-Navarro |
| 2025 | WWW | TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition. | Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan, Riza Batista-Navarro, Goran Nenadic, Josiah Poon |
| 2024 | ACL | Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. | Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic |
| 2024 | ACL | Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models. | Tharindu Madusanka, Ian Pratt-Hartmann, Riza Batista-Navarro |
| 2024 | ACL | Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents. | Iqra Zahid, Tharindu Madusanka, Riza Batista-Navarro, Youcheng Sun |
| 2024 | AMTA | CantonMT: Cantonese-English Neural Machine Translation Looking into Evaluations. | Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic |
| 2024 | COLING | IDEM: The IDioms with EMotions Dataset for Emotion Recognition. | Alexander Prochnow, Johannes E. Bendler, Caroline Lange, Foivos Ioannis Tzavellos, Bas Marco Gritzer, Marijn ten Thij, Riza Batista-Navarro |
| 2024 | EAMT | CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data. | Kung Yin Hong, Lifeng Han, Riza Batista-Navarro, Goran Nenadic |
| 2024 | EMNLP | Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection. | Iqra Zahid, Yue Chang, Tharindu Madusanka, Youcheng Sun, Riza Batista-Navarro |
| 2023 | ACL | Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. | Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic |
| 2023 | EMNLP | TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles. | Sarah Alsayyahi, Riza Batista-Navarro |
| 2023 | EMNLP | Argument mining as a multi-hop generative machine reading comprehension task. | Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou |
| 2023 | EMNLP | Not all quantifiers are equal: Probing Transformer-based language models' understanding of generalised quantifiers. | Tharindu Madusanka, Iqra Zahid, Hao Li, Ian Pratt-Hartmann, Riza Batista-Navarro |
| 2023 | IJCNLP | Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? | Yulong Wu, Viktor Schlegel, Riza Batista-Navarro |
| 2022 | ICWSM | Towards Human-Centred Explainability Benchmarks For Text Classification. | Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro |
| 2022 | LREC | RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. | Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro |
| 2022 | LREC | Incorporating Zoning Information into Argument Mining from Biomedical Literature. | Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou |
| 2021 | AAAI | Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. | Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro |
| 2021 | EACL | Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? | Yulong Wu, Viktor Schlegel, Riza Batista-Navarro |
| 2021 | MODELS | IoT Cooking Workflows for End-Users: A Comparison Between Behaviour Trees and the DX-MAN Model. | Filippos Ventirozos, Riza Batista-Navarro, Sarah Clinch, Damian Arellanes |
| 2020 | LREC | ParlVote: A Corpus for Sentiment Analysis of Political Debates. | Gavin Abercrombie, Riza Batista-Navarro |
| 2020 | LREC | A Framework for Evaluation of Machine Reading Comprehension Gold Standards. | Viktor Schlegel, Marco Valentino, Andr Freitas, Goran Nenadic, Riza Batista-Navarro |
| 2019 | CoNLL | Policy Preference Detection in Parliamentary Debate Motions. | Gavin Abercrombie, Federico Nanni, Riza Batista-Navarro, Simone Paolo Ponzetto |
| 2019 | ECIR | Towards the Automatic Analysis of the Structure of News Stories. | Iqra Zahid, Hao Zhang, Frank Boons, Riza Batista-Navarro |
| 2019 | IDEAL | Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy. | Seetah ALSalamah, Riza Batista-Navarro, Ross D. King |
| 2019 | IDEAL | Studying the Evolution of the 'Circular Economy' Concept Using Topic Modelling. | Sampriti Mahanty, Frank Boons, Julia Handl, Riza Batista-Navarro |
| 2019 | REFSQ | Using Frame Embeddings to Identify Semantically Related Software Requirements. | Waad Alhoshan, Riza Batista-Navarro, Liping Zhao |
| 2018 | ESEM | Using semantic frames to identify related textual requirements: an initial validation. | Waad Alhoshan, Liping Zhao, Riza Batista-Navarro |
| 2018 | LREC | 'Aye' or 'No'? Speech-level Sentiment Analysis of Hansard UK Parliamentary Debate Transcripts. | Gavin Abercrombie, Riza Batista-Navarro |
| 2018 | RE | Towards a Corpus of Requirements Documents Enriched with Semantic Frame Annotations. | Waad Alhoshan, Riza Batista-Navarro, Liping Zhao |