Even Oldridge - RankMe

22 papers A* 1A 8Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HierarchicalKV: A GPU Hash Table with Cache Semantics for Continuous Online Embedding Storage. CoRR Haidong Rong, Jiashu Yao, Matthias Langer, Shijie Liu, Li Fan, Dongxin Wang, Jia He, Jinglin Chen, Jiaheng Rang, Julian Qian, Mengyao Xu, Fan Yu, Minseok Lee, Zehuan Wang, Even Oldridge
2026	J	`jnl`	Nemotron ColEmbed V2: Top-Performing Late Interaction embedding models for Visual Document Retrieval. CoRR Gabriel de Souza Pereira Moreira, Ronay Ak, Mengyao Xu, Oliver Holworthy, Benedikt Schifferer, Zhiding Yu, Yauhen Babakhin, Radek Osmulski, Jiarui Cai, Ryan Chesler, Bo Liu, Even Oldridge
2025	A	`conf`	Improving Text Embedding Models with Positive-aware Hard-negative Mining. CIKM Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge
2025	J	`jnl`	Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model. CoRR Mengyao Xu, Gabriel de Souza Pereira Moreira, Ronay Ak, Radek Osmulski, Yauhen Babakhin, Zhiding Yu, Benedikt Schifferer, Even Oldridge
2025	J	`jnl`	Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks. CoRR Yauhen Babakhin, Radek Osmulski, Ronay Ak, Gabriel de Souza Pereira Moreira, Mengyao Xu, Benedikt Schifferer, Bo Liu, Even Oldridge
2025	J	`jnl`	MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark. CoRR Radek Osmulski, Gabriel de Souza Pereira Moreira, Ronay Ak, Mengyao Xu, Benedikt Schifferer, Even Oldridge
2025	J	`jnl`	Omni-Embed-Nemotron: A Unified Multimodal Retrieval Model for Text, Image, Audio, and Video. CoRR Mengyao Xu, Wenfei Zhou, Yauhen Babakhin, Gabriel de Souza Pereira Moreira, Ronay Ak, Radek Osmulski, Bo Liu, Even Oldridge, Benedikt Schifferer
2024	J	`jnl`	Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. CoRR Gabriel de Souza Pereira Moreira, Ronay Ak, Benedikt Schifferer, Mengyao Xu, Radek Osmulski, Even Oldridge
2024	J	`jnl`	NV-Retriever: Improving text embedding models with effective hard-negative mining. CoRR Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge
2023	A	`conf`	Investigating the effects of incremental training on neural ranking models. RecSys Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green
2023	J	`jnl`	LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. CoRR Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge
2022	A	`conf`	Building and Deploying a Multi-Stage Recommender System with Merlin. RecSys Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira
2022	A	`ed.`	RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022 RecSys Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge
2021	A	`ed.`	RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021 RecSys Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge
2021	J	`jnl`	Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. CoRR Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge
2021	A	`conf`	Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge
2020	A*	`conf`	Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS. KDD Bartley Richardson, Bradley Rees, Tom Drabas, Even Oldridge, David A. Bader, Rachel Allen
2020	—	`conf`	GPU Accelerated Feature Engineering and Training for Recommender Systems. RecSys Challenge Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem
2020	A	`conf`	Tutorial: Feature Engineering for Recommender Systems. RecSys Benedikt Schifferer, Chris Deotte, Even Oldridge
2020	—	`conf`	Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. RecSys Challenge Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge
2019	—	`conf`	Accelerating recommender system training 15x with RAPIDS. RecSys Challenge Sara Rabhi, Wenbo Sun, Julio Perez, Mads Ruben Burgdorff Kristensen, Jiwei Liu, Even Oldridge
2018	A	`conf`	Adapting session based recommendation for features through transfer learning. RecSys Even Oldridge