| Improving the domain adaptation of retrieval augmented generation (RAG) models for open domain question answering S Siriwardhana, R Weerasekera, E Wen, T Kaluarachchi, R Rana, ... Transactions of the Association for Computational Linguistics 11, 1-17, 2023 | 171 | 2023 |
| Jointly fine-tuning" bert-like" self supervised models to improve multimodal speech emotion recognition S Siriwardhana, A Reis, R Weerasekera, S Nanayakkara arXiv preprint arXiv:2008.06682, 2020 | 130 | 2020 |
| Implications of Spatiotemporal Data Aggregation on Short‐Term Traffic Prediction Using Machine Learning Algorithms R Weerasekera, M Sridharan, P Ranjitkar Journal of Advanced Transportation 2020 (1), 7057519, 2020 | 10 | 2020 |
| Target driven visual navigation with hybrid asynchronous universal successor representations S Siriwardhana, R Weerasekera, S Nanayakkara arXiv preprint arXiv:1811.11312, 2018 | 10 | 2018 |
| Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering S Siriwardhana, R Weerasekera, E Wen, S Nanayakkara arXiv preprint arXiv:2106.11517, 2021 | 7 | 2021 |
