| 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 |
| 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 | 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 | EACL | Identifying the limits of transformers when performing model-checking with natural language. | Tharindu Madusanka, Riza Theresa Batista-Navarro, Ian Pratt-Hartmann |
| 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 |
| 2020 | PACLIC | Dialog policy optimization for low resource setting using Self-play and Reward based Sampling. | Tharindu Madusanka, Durashi Langappuli, Thisara Welmilla, Uthayasanker Thayasivam, Sanath Jayasena |