Adapting session based recommendation for features through transfer learning. - Even Oldridge (RecSys, 2018)

Accelerating recommender system training 15x with RAPIDS. - Sara Rabhi; Wenbo Sun; Julio Perez; Mads Ruben Burgdorff Kristensen; Jiwei Liu; Even Oldridge (RecSys Challenge, 2019)

Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS. - Bartley Richardson; Bradley Rees; Tom Drabas; Even Oldridge; David A. Bader; Rachel Allen (KDD, 2020)

Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. - Dietmar Jannach; Gabriel de Souza Pereira Moreira; Even Oldridge (RecSys Challenge, 2020)

Tutorial: Feature Engineering for Recommender Systems. - Benedikt Schifferer; Chris Deotte; Even Oldridge (RecSys, 2020)

GPU Accelerated Feature Engineering and Training for Recommender Systems. - Benedikt Schifferer; Gilberto Titericz; Chris Deotte; Christof Henkel; Kazuki Onodera; Jiwei Liu; Bojan Tunguz; Even Oldridge; Gabriel de Souza Pereira Moreira; Ahmet Erdem (RecSys Challenge, 2020)

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Jeongmin Lee 001; Ronay Ak; Even Oldridge (RecSys, 2021)

Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Ronay Ak; Md Yasin Kabir; Even Oldridge (CoRR, 2021)

Building and Deploying a Multi-Stage Recommender System with Merlin. - Karl Higley; Even Oldridge; Ronay Ak; Sara Rabhi; Gabriel de Souza Pereira Moreira (RecSys, 2022)

Investigating the effects of incremental training on neural ranking models. - Benedikt Schifferer; Wenzhe Shi; Gabriel de Souza Pereira Moreira; Even Oldridge; Chris Deotte; Gilberto Titericz; Kazuki Onodera; Praveen Dhinwa; Vishal Agrawal; Chris Green (RecSys, 2023)

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. - Zhenrui Yue; Sara Rabhi; Gabriel de Souza Pereira Moreira; Dong Wang 002; Even Oldridge (CoRR, 2023)

NV-Retriever: Improving text embedding models with effective hard-negative mining. - Gabriel de Souza Pereira Moreira; Radek Osmulski; Mengyao Xu; Ronay Ak; Benedikt Schifferer; Even Oldridge (CoRR, 2024)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. - Gabriel de Souza Pereira Moreira; Ronay Ak; Benedikt Schifferer; Mengyao Xu; Radek Osmulski; Even Oldridge (CoRR, 2024)

MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark. - Radek Osmulski; Gabriel de Souza Pereira Moreira; Ronay Ak; Mengyao Xu; Benedikt Schifferer; Even Oldridge (CoRR, 2025)

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model. - Mengyao Xu; Gabriel de Souza Pereira Moreira; Ronay Ak; Radek Osmulski; Yauhen Babakhin; Zhiding Yu; Benedikt Schifferer; Even Oldridge (CoRR, 2025)