Arnold Overwijk

Computer Science · Physical Sciences

9h-index556citations27works0.32yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(10), Topic Modeling(9), Natural Language Processing Techniques(8), Multimodal Machine Learning Applications(8), Advanced Image and Video Retrieval Techniques(5)

Publications27 total

LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
ArXiv.org·2026Open Access
LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
arXiv (Cornell University)·2026Open Access
Group-Level Data Selection for Efficient Pretraining
arXiv (Cornell University)·2025· 1 citedOpen Access
Improving Multitask Retrieval by Promoting Task Specialization
arXiv (Cornell University)·2023Open Access
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
arXiv (Cornell University)·2023· 2 citedOpen Access
Improving Multitask Retrieval by Promoting Task Specialization
Transactions of the Association for Computational Linguistics·2023Open Access
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories
2023· 4 citedOpen Access
ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information
arXiv (Cornell University)·2022· 5 citedOpen Access
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
arXiv (Cornell University)·2022Open Access
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
arXiv (Cornell University)·2022· 11 citedOpen Access
ClueWeb22: 10 Billion Web Documents with Rich Information
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval·2022· 60 cited
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
2022· 3 citedOpen Access
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
2022· 20 citedOpen Access
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using\n a Weak Decoder
arXiv (Cornell University)·2021· 2 citedOpen Access
Less is More: Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
arXiv (Cornell University)·2021Open Access
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder.
arXiv (Cornell University)·2021· 10 citedOpen Access
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing·2021· 44 citedOpen Access
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
arXiv (Cornell University)·2020· 228 citedOpen Access
Open Domain Web Keyphrase Extraction Beyond Language Modeling
arXiv (Cornell University)·2019· 4 citedOpen Access
Open Domain Web Keyphrase Extraction Beyond Language Modeling
2019· 60 citedOpen Access
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Frequent Co-authors

Chenyan Xiong(17), Paul N. Bennett(6), Lee Xiong(5), Guolin Ke(4), Waleed Malik(4), Zhicheng Dou(4), Yue Yu(4), Si Sun(4), Dong Nguyen(3), Claudia Hauff(3), Djoerd Hiemstra(3), Franciska de Jong(3), Shuqi Lu(3), Lei Bao(3), Shoou-I Yu(3), Florian Metze(3), Jamie Callan(2), Chuan Hu(2), Daniel Campos(2), Dolf Trieschnigg(2)