| Zhu, Yuqicheng, Potyka, Nico, Hernández, Daniel, He, Yuan, Ding, Zifeng, Xiong, Bo, Zhou, Dongzhuoran, Kharlamov, Evgeny and Staab, Steffen 2025. ArgRAG: Explainable retrieval augmented generation using quantitative bipolar argumentation. Presented at: 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy), USA, 8 - 10 September 2025. Proceedings of Machine Learning Research. , vol.284 |
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| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Status: | In Press |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Date of First Compliant Deposit: | 23 September 2025 |
| Date of Acceptance: | 20 April 2025 |
| Last Modified: | 23 Oct 2025 01:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/181190 |
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