Learning Retrieval Models with Sparse Autoencoders
Fuente:
arXiv
Saved in:
| Main Authors: | Formal, Thibault, Louis, Maxime, Dejean, Hervé, Clinchant, Stéphane |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
OSCAR: Online Soft Compression And Reranking
by: Louis, Maxime, et al.
Published: (2025)
by: Louis, Maxime, et al.
Published: (2025)
Naver Labs Europe @ WSDM CUP | Multilingual Retrieval
by: Formal, Thibault, et al.
Published: (2026)
by: Formal, Thibault, et al.
Published: (2026)
On the Challenges and Opportunities of Learned Sparse Retrieval for Code
by: Lupart, Simon, et al.
Published: (2026)
by: Lupart, Simon, et al.
Published: (2026)
SPLATE: Sparse Late Interaction Retrieval
by: Formal, Thibault, et al.
Published: (2024)
by: Formal, Thibault, et al.
Published: (2024)
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation
by: Louis, Maxime, et al.
Published: (2025)
by: Louis, Maxime, et al.
Published: (2025)
A Thorough Comparison of Cross-Encoders and LLMs for Reranking SPLADE
by: Déjean, Hervé, et al.
Published: (2024)
by: Déjean, Hervé, et al.
Published: (2024)
SPLADE-v3: New baselines for SPLADE
by: Lassance, Carlos, et al.
Published: (2024)
by: Lassance, Carlos, et al.
Published: (2024)
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
by: Rau, David, et al.
Published: (2024)
by: Rau, David, et al.
Published: (2024)
Efficient Listwise Reranking with Compressed Document Representations
by: Déjean, Hervé, et al.
Published: (2026)
by: Déjean, Hervé, et al.
Published: (2026)
Reranking with Compressed Document Representation
by: Déjean, Hervé, et al.
Published: (2025)
by: Déjean, Hervé, et al.
Published: (2025)
Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control
by: Klenitskiy, Anton, et al.
Published: (2025)
by: Klenitskiy, Anton, et al.
Published: (2025)
Provence: efficient and robust context pruning for retrieval-augmented generation
by: Chirkova, Nadezhda, et al.
Published: (2025)
by: Chirkova, Nadezhda, et al.
Published: (2025)
Retrieval-augmented generation in multilingual settings
by: Chirkova, Nadezhda, et al.
Published: (2024)
by: Chirkova, Nadezhda, et al.
Published: (2024)
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE
by: Lassance, Carlos, et al.
Published: (2024)
by: Lassance, Carlos, et al.
Published: (2024)
Context Embeddings for Efficient Answer Generation in RAG
by: Rau, David, et al.
Published: (2024)
by: Rau, David, et al.
Published: (2024)
No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
by: Guo, Lixuan, et al.
Published: (2026)
by: Guo, Lixuan, et al.
Published: (2026)
SVD-AE: Simple Autoencoders for Collaborative Filtering
by: Hong, Seoyoung, et al.
Published: (2024)
by: Hong, Seoyoung, et al.
Published: (2024)
RecSys Challenge 2023: From data preparation to prediction, a simple, efficient, robust and scalable solution
by: Manderlier, Maxime, et al.
Published: (2024)
by: Manderlier, Maxime, et al.
Published: (2024)
Advancing Vietnamese Information Retrieval with Learning Objective and Benchmark
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
Long Context Modeling with Ranked Memory-Augmented Retrieval
by: Alselwi, Ghadir, et al.
Published: (2025)
by: Alselwi, Ghadir, et al.
Published: (2025)
Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs
by: Portes, Jacob, et al.
Published: (2025)
by: Portes, Jacob, et al.
Published: (2025)
Temporal Information Retrieval via Time-Specifier Model Merging
by: Han, SeungYoon, et al.
Published: (2025)
by: Han, SeungYoon, et al.
Published: (2025)
Superintelligent Retrieval Agent: The Next Frontier of Information Retrieval
by: Yang, Zeyu, et al.
Published: (2026)
by: Yang, Zeyu, et al.
Published: (2026)
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
by: Li, Zhaoxing, et al.
Published: (2025)
by: Li, Zhaoxing, et al.
Published: (2025)
Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
by: Barman, Pronob Kumar, et al.
Published: (2026)
by: Barman, Pronob Kumar, et al.
Published: (2026)
Semantic Retrieval at Walmart
by: Magnani, Alessandro, et al.
Published: (2024)
by: Magnani, Alessandro, et al.
Published: (2024)
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval
by: Hwang, Dae Yon, et al.
Published: (2024)
by: Hwang, Dae Yon, et al.
Published: (2024)
EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records
by: Shurrab, Saeed, et al.
Published: (2026)
by: Shurrab, Saeed, et al.
Published: (2026)
A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)
by: Wang, Tangtang, et al.
Published: (2025)
Optimizing Compound Retrieval Systems
by: Oosterhuis, Harrie, et al.
Published: (2025)
by: Oosterhuis, Harrie, et al.
Published: (2025)
Scaling Laws for Online Advertisement Retrieval
by: Wang, Yunli, et al.
Published: (2024)
by: Wang, Yunli, et al.
Published: (2024)
PathGPT: Reframing Path Recommendation as a Natural Language Generation Task with Retrieval-Augmented Language Models
by: Marcelyn, Steeve Cuthbert, et al.
Published: (2025)
by: Marcelyn, Steeve Cuthbert, et al.
Published: (2025)
Revisiting RAG Retrievers: An Information Theoretic Benchmark
by: Zheng, Wenqing, et al.
Published: (2026)
by: Zheng, Wenqing, et al.
Published: (2026)
Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024)
by: Paischer, Fabian, et al.
Published: (2024)
Your Dense Retriever is Secretly an Expeditious Reasoner
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
KuaiFormer: Transformer-Based Retrieval at Kuaishou
by: Liu, Chi, et al.
Published: (2024)
by: Liu, Chi, et al.
Published: (2024)
Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
by: Chaturvedi, Sarthak, et al.
Published: (2025)
by: Chaturvedi, Sarthak, et al.
Published: (2025)
Improving Neural Retrieval with Attribution-Guided Query Rewriting
by: Garouani, Moncef, et al.
Published: (2026)
by: Garouani, Moncef, et al.
Published: (2026)
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
by: Klearman, Andrew, et al.
Published: (2026)
by: Klearman, Andrew, et al.
Published: (2026)
LARGER: Lexically Anchored Repository Graph Exploration and Retrieval
by: Hu, Yuntong, et al.
Published: (2026)
by: Hu, Yuntong, et al.
Published: (2026)
Similar Items
-
OSCAR: Online Soft Compression And Reranking
by: Louis, Maxime, et al.
Published: (2025) -
Naver Labs Europe @ WSDM CUP | Multilingual Retrieval
by: Formal, Thibault, et al.
Published: (2026) -
On the Challenges and Opportunities of Learned Sparse Retrieval for Code
by: Lupart, Simon, et al.
Published: (2026) -
SPLATE: Sparse Late Interaction Retrieval
by: Formal, Thibault, et al.
Published: (2024) -
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation
by: Louis, Maxime, et al.
Published: (2025)