Benedikt Schifferer

18 papers A 5Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
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 J jnl
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset.
CoRR
Ivan Moshkov, Darragh Hanley, Ivan Sorokin, Shubham Toshniwal, Christof Henkel, Benedikt Schifferer, Wei Du, Igor Gitman
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
2024 J jnl
Winning Amazon KDD Cup'24.
CoRR
Chris Deotte, Ivan Sorokin, Ahmet Erdem, Benedikt Schifferer, Gilberto Titericz, Simon Jégou
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
2022 A conf
Training and Deploying Multi-Stage Recommender Systems.
RecSys
Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira
2021 A conf
End-to-End Session-Based Recommendation on GPU.
RecSys
Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer
2021 — conf
GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems.
RecSys Challenge
Chris Deotte, Bo Liu, Benedikt Schifferer, Gilberto Titericz
2021 J jnl
Robust Temporal Ensembling for Learning with Noisy Labels.
CoRR
Abel Brown, Benedikt Schifferer, Robert DiPietro
2021 — conf
Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations.
WebTour@WSDM
Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak
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