Imagen de Portada

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jia, Pengyue, Xu, Derong, Li, Xiaopeng, Du, Zhaocheng, Li, Xiangyang, Wang, Yichao, Wang, Yuhao, Liu, Qidong, Wang, Maolin, Guo, Huifeng, Tang, Ruiming, Zhao, Xiangyu
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Align-GRAG: Anchor and Rationale Guided Dual Alignment for Graph Retrieval-Augmented Generation
por: Xu, Derong, et al.
Publicado: (2025)

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
por: Jia, Pengyue, et al.
Publicado: (2024)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
por: Li, Xiaopeng, et al.
Publicado: (2024)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
por: Zhang, Yingyi, et al.
Publicado: (2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
por: Zhang, Wenlin, et al.
Publicado: (2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
por: Gao, Jingtong, et al.
Publicado: (2025)

Joint Modeling in Recommendations: A Survey
por: Zhao, Xiangyu, et al.
Publicado: (2025)

A Survey of Personalization: From RAG to Agent
por: Li, Xiaopeng, et al.
Publicado: (2025)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
por: Jia, Pengyue, et al.
Publicado: (2024)

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
por: Zhang, Wenlin, et al.
Publicado: (2026)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
por: Li, Xiaopeng, et al.
Publicado: (2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
por: Wang, Yuhao, et al.
Publicado: (2024)

Prompt Tuning as User Inherent Profile Inference Machine
por: Lu, Yusheng, et al.
Publicado: (2024)

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
por: Zhang, Yingyi, et al.
Publicado: (2025)

HAMUR: Hyper Adapter for Multi-Domain Recommendation
por: Li, Xiaopeng, et al.
Publicado: (2023)

From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
por: Xu, Derong, et al.
Publicado: (2025)

Deep Research: A Survey of Autonomous Research Agents
por: Zhang, Wenlin, et al.
Publicado: (2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
por: Zhang, Wenlin, et al.
Publicado: (2024)

Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
por: Li, Xiaopeng, et al.
Publicado: (2026)

Stepwise Reasoning Error Disruption Attack of LLMs
por: Peng, Jingyu, et al.
Publicado: (2024)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
por: Gao, Jingtong, et al.
Publicado: (2024)

To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
por: Zhang, Wenlin, et al.
Publicado: (2026)

Reinforced Preference Optimization for Reasoning-Augmented Recommendations
por: Gao, Jingtong, et al.
Publicado: (2026)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
por: Fu, Zichuan, et al.
Publicado: (2023)

No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction
por: Jia, Qinglin, et al.
Publicado: (2025)

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
por: Zhang, Yingyi, et al.
Publicado: (2026)

MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search
por: Zhang, Sheng, et al.
Publicado: (2026)

SIGMA: Selective Gated Mamba for Sequential Recommendation
por: Liu, Ziwei, et al.
Publicado: (2024)

Large Language Model Enhanced Recommender Systems: A Survey
por: Liu, Qidong, et al.
Publicado: (2024)

MTA: A Merge-then-Adapt Framework for Personalized Large Language Model
por: Li, Xiaopeng, et al.
Publicado: (2025)

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
por: Zhao, Yuang, et al.
Publicado: (2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
por: Wang, Yuhao, et al.
Publicado: (2024)

GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization
por: Jia, Pengyue, et al.
Publicado: (2026)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
por: Jia, Pengyue, et al.
Publicado: (2024)

TAPO: Task-Referenced Adaptation for Prompt Optimization
por: Luo, Wenxin, et al.
Publicado: (2025)

When Hard Negatives Hurt: Bridging the Generative-Discriminative Gap in Hard Negative Synthesis for Retrieval
por: Zhang, Zhicheng, et al.
Publicado: (2026)

GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models
por: Jia, Pengyue, et al.
Publicado: (2025)

Behavior-Equivalent Token: Single-Token Replacement for Long Prompts in LLMs
por: Dong, Jiancheng, et al.
Publicado: (2025)

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA
por: Chen, Teng, et al.
Publicado: (2026)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
por: Wen, Yi, et al.
Publicado: (2025)