:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Khrylchenko, Kirill, Baikalov, Vladimir, Makeev, Sergei, Matveev, Artem, Liamaev, Sergei
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2507.09331
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling Recommender Transformers to One Billion Parameters
by: Khrylchenko, Kirill, et al.
Published: (2025)

Blending Sequential Embeddings, Graphs, and Engineered Features: 4th Place Solution in RecSys Challenge 2025
by: Makeev, Sergei, et al.
Published: (2025)

Variable-Length Semantic IDs for Recommender Systems
by: Khrylchenko, Kirill
Published: (2026)

Mitigating Collaborative Semantic ID Staleness in Generative Retrieval
by: Baikalov, Vladimir, et al.
Published: (2026)

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
by: Baikalov, Vladimir, et al.
Published: (2024)

Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval
by: Ploshkin, A., et al.
Published: (2025)

Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation
by: Xing, Haibo, et al.
Published: (2026)

Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction
by: Santra, Payel, et al.
Published: (2026)

Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation
by: Fu, Dongqi, et al.
Published: (2026)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
by: Huang, Suyuan, et al.
Published: (2024)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
by: Xing, Haibo, et al.
Published: (2025)

On Softmax Direct Preference Optimization for Recommendation
by: Chen, Yuxin, et al.
Published: (2024)

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search
by: Jin, Qiao, et al.
Published: (2023)

SynDL: A Large-Scale Synthetic Test Collection for Passage Retrieval
by: Rahmani, Hossein A., et al.
Published: (2024)

Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search
by: Wu, Yanjing, et al.
Published: (2024)

Revisiting General Map Search via Generative Point-of-Interest Retrieval
by: Chen, Dong, et al.
Published: (2026)

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis
by: Cui, Tianyu, et al.
Published: (2024)

Unified Learning-to-Rank for Multi-Channel Retrieval in Large-Scale E-Commerce Search
by: Gaydhani, Aditya, et al.
Published: (2026)

Device-Cloud Collaborative Correction for On-Device Recommendation
by: Zhan, Tianyu, et al.
Published: (2025)

PLAID SHIRTTT for Large-Scale Streaming Dense Retrieval
by: Lawrie, Dawn, et al.
Published: (2024)

Hierarchical Structured Neural Network: Efficient Retrieval Scaling for Large Scale Recommendation
by: Rangadurai, Kaushik, et al.
Published: (2024)

Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented Generation
by: Yalavarthi, Surya Vardhan
Published: (2026)

DKT2: Revisiting Applicable and Comprehensive Knowledge Tracing in Large-Scale Data
by: Zhou, Yiyun, et al.
Published: (2025)

Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites
by: Lu, Sijin, et al.
Published: (2024)

Financial Transaction Retrieval and Contextual Evidence for Knowledge-Grounded Reasoning
by: Sakhno, Artem, et al.
Published: (2026)

On the Scaling of Robustness and Effectiveness in Dense Retrieval
by: Liu, Yu-An, et al.
Published: (2025)

Multimodal Recommendation via Self-Corrective Preference Alignmen
by: Guan, Yalong, et al.
Published: (2025)

PentaRAG: Large-Scale Intelligent Knowledge Retrieval for Enterprise LLM Applications
by: Syarubany, Abu Hanif Muhammad, et al.
Published: (2025)

Revisiting Query Variants: The Advantage of Retrieval Over Generation of Query Variants for Effective QPP
by: Tian, Fangzheng, et al.
Published: (2025)

Hindi-BEIR : A Large Scale Retrieval Benchmark in Hindi
by: Acharya, Arkadeep, et al.
Published: (2024)

Negative Sampling Techniques in Information Retrieval: A Survey
by: Wischounig, Laurin, et al.
Published: (2026)

On Function-Correcting Codes in the Lee Metric
by: Verma, Gyanendra K., et al.
Published: (2025)

Retrieval-in-the-Chain: Bootstrapping Large Language Models for Generative Retrieval
by: Zhang, Yingchen, et al.
Published: (2025)

Neural Corrective Machine Unranking
by: Hou, Jingrui, et al.
Published: (2024)

DELM: a Python toolkit for Data Extraction with Language Models
by: Fithian, Eric, et al.
Published: (2025)

XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security
by: Jelodar, Hamed, et al.
Published: (2025)

Large Scale Retrieval for the LinkedIn Feed using Causal Language Models
by: Ramanujam, Sudarshan Srinivasa, et al.
Published: (2025)

Retrieval-Augmented Search for Large-Scale Map Collections with ColPali
by: Mahowald, Jamie, et al.
Published: (2025)

Large Language Model as Universal Retriever in Industrial-Scale Recommender System
by: Jiang, Junguang, et al.
Published: (2025)

USD: A User-Intent-Driven Sampling and Dual-Debiasing Framework for Large-Scale Homepage Recommendations
by: Zheng, Jiaqi, et al.
Published: (2025)