Shamane Siriwardhana

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	All	Since 2019
Citations	562	560
h-index	7	7
i10-index	7	7

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20182019202020212022202320242 2 14 44 75 125 296

Co-authors

A/Prof Suranga Nanayakkara, PhD NUSAugmented Human Lab, National University of SingaporeVerified email at ahlab.org
Tharindu KaluarachchiPekoe Pte Ltd, SingaporeVerified email at ahlab.org
Rivindu WeerasekeraUniversity of AucklandVerified email at aucklanduni.ac.nz
Elliott WenThe University of AucklandVerified email at auckland.ac.nz
Mark BillinghurstEmpathic Computing Laboratory, University of South Australia, Auckland Bioengineering InstituteVerified email at unisa.edu.au
Charles GoddardSenior Research Engineer, ArceeVerified email at arcee.ai
Denys J.C. MatthiesAssociate Professor, Technical University of Applied Sciences LübeckVerified email at th-luebeck.de
Rajib RanaProfessor of Computer Science, UniSQVerified email at usq.edu.au
Malikeh EhghaghiArcee AIVerified email at arcee.ai
Alexandru DancuAugmented Human Lab and Berlin Institute of HealthVerified email at ahlab.org
K Thisum BuddhikaNational University of SingaporeVerified email at comp.nus.edu.sg
Roger Boldu BusquetsThe University of AucklandVerified email at ahlab.org
James Jeng-Weei LinReality Labs, MetaVerified email at meta.com
Robert W. LindemanProf/Director, HIT Lab NZ, University of CanterburyVerified email at canterbury.ac.nz
Suveen EllawelaUndergraduate at National University of SingaporeVerified email at u.nus.edu
Chitralekha GuptaSenior Research Fellow at National University of SingaporeVerified email at nus.edu.sg
Vipula DissanayakeOrion Health | Augmented Human Lab, Bioengineering Institute, University of AucklandVerified email at aucklanduni.ac.nz
Vladimir Karpukhinfacebook AI researchVerified email at fb.com

Shamane Siriwardhana

Other namesShamane Siri

Arcee | The University of Auckland

Verified email at ahlab.org - Homepage

Natural Language Processing Self Supervised Learning Domain Adaptation Ads Recommendations


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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
Multimodal emotion recognition with transformer-based self supervised feature fusion S Siriwardhana, T Kaluarachchi, M Billinghurst, S Nanayakkara Ieee Access 8, 176274-176285, 2020	125	2020
Arcee's MergeKit: A Toolkit for Merging Large Language Models C Goddard, S Siriwardhana, M Ehghaghi, L Meyers, V Karpukhin, ... arXiv preprint arXiv:2403.13257, 2024	58	2024
Fingerreader2. 0: Designing and evaluating a wearable finger-worn camera to assist people with visual impairments while shopping R Boldu, A Dancu, DJC Matthies, T Buddhika, S Siriwardhana, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018	38	2018
Vusfa: Variational universal successor features approximator to improve transfer drl for target driven visual navigation S Siriwardhana, R Weerasakera, DJC Matthies, S Nanayakkara arXiv preprint arXiv:1908.06376, 2019	12	2019
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
Vrhook: A data collection tool for vr motion sickness research E Wen, TI Kaluarachchi, S Siriwardhana, V Tang, M Billinghurst, ... Proceedings of the 35th Annual ACM Symposium on User Interface Software and …, 2022	4	2022
A corneal surface reflections-based intelligent system for lifelogging applications T Kaluarachchi, S Siriwardhana, E Wen, S Nanayakkara International Journal of Human–Computer Interaction 39 (9), 1963-1980, 2023	3	2023
Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation S Siriwardhana, M McQuade, T Gauthier, L Atkins, FF Neto, L Meyers, ... arXiv preprint arXiv:2406.14971, 2024	2	2024
Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text S Siriwardhana, C Gupta, T Kaluarachchi, V Dissanayake, S Ellawela, ... International Journal of Human–Computer Interaction, 1-19, 2023	2	2023
Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation T Gauthier-Caron, S Siriwardhana, E Stein, M Ehghaghi, C Goddard, ... arXiv preprint arXiv:2410.08371, 2024		2024
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems S Siriwardhana PhD Thesis-University of Auckland, 2022		2022
Universal Successor Features Based Deep Reinforcement Learning for Navigation S Siriwardhana Masters Thesis, 2019		2019
Large Language Models in Education T Rupasinghe, MWV Kalpana, HT Manohora, D Herath, RG Ragel, ...
VUSFA: Variational Universal Successor Features Approximator S Siriwardhana, R Weerasakera, DJC Matthies, S Nanayakkara

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