Copertina

Generating Query-Relevant Document Summaries via Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yadav, Nitin, Kang, Changsung, Shang, Hongwei, Sun, Ming
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
di: Shang, Hongwei, et al.
Pubblicazione: (2025)

Meta Learning to Rank for Sparsely Supervised Queries
di: Wu, Xuyang, et al.
Pubblicazione: (2024)

Learning Smooth Distance Functions via Queries
di: Kumar, Akash, et al.
Pubblicazione: (2024)

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
di: Yuan, Kai, et al.
Pubblicazione: (2026)

Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments
di: Christakopoulou, Evangelia, et al.
Pubblicazione: (2026)

BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
di: Tsirigotis, Christos, et al.
Pubblicazione: (2025)

Transfer Learning for E-commerce Query Product Type Prediction
di: Tigunova, Anna, et al.
Pubblicazione: (2024)

RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
di: Choi, Nayoung, et al.
Pubblicazione: (2024)

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search
di: Sachdev, Jayant, et al.
Pubblicazione: (2025)

An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders
di: Feng, Shuang, et al.
Pubblicazione: (2024)

Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search
di: Zeng, Ziyang, et al.
Pubblicazione: (2025)

VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search
di: Zhang, Xiao, et al.
Pubblicazione: (2025)

Multi-Item-Query Attention for Stable Sequential Recommendation
di: Xu, Mingshi, et al.
Pubblicazione: (2025)

Query Brand Entity Linking in E-Commerce Search
di: Liu, Dong, et al.
Pubblicazione: (2025)

Improving Neural Retrieval with Attribution-Guided Query Rewriting
di: Garouani, Moncef, et al.
Pubblicazione: (2026)

To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
di: Dey, Soumik, et al.
Pubblicazione: (2025)

Query Performance Prediction using Relevance Judgments Generated by Large Language Models
di: Meng, Chuan, et al.
Pubblicazione: (2024)

Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
di: Zhao, Ziwen, et al.
Pubblicazione: (2026)

Robust Reinforcement Learning Objectives for Sequential Recommender Systems
di: Mozifian, Melissa, et al.
Pubblicazione: (2023)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
di: Ji, Luo, et al.
Pubblicazione: (2024)

Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
di: Kim, Wongyu, et al.
Pubblicazione: (2025)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
di: Wang, Yuening, et al.
Pubblicazione: (2024)

LORE: A Large Generative Model for Search Relevance
di: Lu, Chenji, et al.
Pubblicazione: (2025)

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
di: Everaert, Dante, et al.
Pubblicazione: (2024)

Succeeding at Scale: Automated Dataset Construction and Query-Side Adaptation for Multi-Tenant Search
di: Jain, Prateek, et al.
Pubblicazione: (2026)

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
di: Zhang, Xuechen, et al.
Pubblicazione: (2025)

Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval
di: Pacini, Giacomo, et al.
Pubblicazione: (2024)

An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs
di: Zhang, Hengran, et al.
Pubblicazione: (2024)

Learning Unsupervised Semantic Document Representation for Fine-grained Aspect-based Sentiment Analysis
di: Fu, Hao-Ming, et al.
Pubblicazione: (2024)

Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
di: Mekonnen, Kidist Amde, et al.
Pubblicazione: (2025)

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap
di: Mallapragada, Srivatsa, et al.
Pubblicazione: (2025)

Not All Queries Need Rewriting: When Prompt-Only LLM Refinement Helps and Hurts Dense Retrieval
di: Kotte, Varun
Pubblicazione: (2026)

Learning to Fast Unrank in Collaborative Filtering Recommendation
di: Zhao, Junpeng, et al.
Pubblicazione: (2025)

Can't Remember Details in Long Documents? You Need Some R&R
di: Agrawal, Devanshu, et al.
Pubblicazione: (2024)

RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
di: Zhou, Jiahong, et al.
Pubblicazione: (2023)

Kwai Summary Attention Technical Report
di: Chu, Chenglong, et al.
Pubblicazione: (2026)

BRIDGE: Bundle Recommendation via Instruction-Driven Generation
di: Bui, Tuan-Nghia, et al.
Pubblicazione: (2024)

Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
di: Castillo, Joshua, et al.
Pubblicazione: (2026)

A Comprehensive Survey on Deep Graph Representation Learning
di: Ju, Wei, et al.
Pubblicazione: (2023)

Efficient Document Ranking with Learnable Late Interactions
di: Ji, Ziwei, et al.
Pubblicazione: (2024)