Papers by Shamane Siriwardhana
Arcee’s MergeKit: A Toolkit for Merging Large Language Models (2024.emnlp-industry)
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Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, Luke Meyers, Vladimir Karpukhin, Brian Benedict, Mark McQuade, Jacob Solawetz
| Challenge: | Open-source language models can merge their parameters to improve performance and versatility without additional training. |
| Approach: | They propose to integrate model checkpoints into powerful multitask models without additional training. |
| Outcome: | the library has facilitated the merging of thousands of models, contributing to some of the world’s most powerful open-source model checkpoints. |
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering (2023.tacl-1)
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Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, Tharindu Kaluarachchi, Rajib Rana, Suranga Nanayakkara
| Challenge: | Retrieval Augment Generation (RAG) has been developed for use in open-domain question answering (ODQA) but it is not optimized for use with other specialized domains such as healthcare and news. |
| Approach: | They propose an extension to RAG that can adapt to a domain-specific knowledge base by updating all components of the external knowledge base during training. |
| Outcome: | The proposed extension can adapt to a domain-specific knowledge base by updating all components of the external knowledge base during training. |