Cover Image

ReGeS: Reciprocal Retrieval-Generation Synergy for Conversational Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Dayu, Fang, Hui
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
by: Sayana, Krishna, et al.
Published: (2024)

Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems
by: Yang, Dayu, et al.
Published: (2024)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
by: Zhang, Chenghao, et al.
Published: (2025)

Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent
by: Liu, Junfeng, et al.
Published: (2023)

Neurosymbolic Retrievers for Retrieval-augmented Generation
by: Saxena, Yash, et al.
Published: (2026)

Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
by: Qiu, Zhangchi, et al.
Published: (2025)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
by: Xu, Ran, et al.
Published: (2024)

Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
by: Wang, Chen, et al.
Published: (2025)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)

Leveraging LLM Reasoning Enhances Personalized Recommender Systems
by: Tsai, Alicia Y., et al.
Published: (2024)

CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
by: Li, Yaoyiran, et al.
Published: (2024)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
by: Shimizu, Ryotaro, et al.
Published: (2024)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2024)

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
by: Hsu, Hung-Chun, et al.
Published: (2025)

CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025)

Bottleneck-Minimal Indexing for Generative Document Retrieval
by: Du, Xin, et al.
Published: (2024)

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language Models
by: Peng, Zhiyuan, et al.
Published: (2023)

Towards a Robust Retrieval-Based Summarization System
by: Liu, Shengjie, et al.
Published: (2024)

GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)

Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
by: Elahi, Ali, et al.
Published: (2024)

Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
by: Jung, Dongwon, et al.
Published: (2024)

Retrieval Augmented Generation for Domain-specific Question Answering
by: Sharma, Sanat, et al.
Published: (2024)

Optimization of Retrieval-Augmented Generation Context with Outlier Detection
by: Bulgakov, Vitaly
Published: (2024)

Uncertainty-Aware Explainable Recommendation with Large Language Models
by: Peng, Yicui, et al.
Published: (2024)

SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation
by: Yang, Yuxin, et al.
Published: (2026)

W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
by: Nian, Jinming, et al.
Published: (2024)

The Oracle and The Prism: A Decoupled and Efficient Framework for Generative Recommendation Explanation
by: Zhang, Jiaheng, et al.
Published: (2025)

MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
by: Huynh, Tuan-Luc, et al.
Published: (2025)

Enhancing Retrieval-Augmented Generation with Entity Linking for Educational Platforms
by: Granata, Francesco, et al.
Published: (2025)

Reducing hallucination in structured outputs via Retrieval-Augmented Generation
by: Béchard, Patrice, et al.
Published: (2024)

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations
by: Shi, Zhan, et al.
Published: (2025)

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
by: Fang, Haoyang, et al.
Published: (2026)

MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
by: Kwon, Daeyong, et al.
Published: (2025)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)

RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation
by: Fleischer, Daniel, et al.
Published: (2024)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
by: Yin, Jun, et al.
Published: (2024)

CURE:Circuit-Aware Unlearning for LLM-based Recommendation
by: Chen, Ziheng, et al.
Published: (2026)

Retrieval Augmented Structured Generation: Business Document Information Extraction As Tool Use
by: Cesista, Franz Louis, et al.
Published: (2024)

RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation
by: Lee, Juhyeon, et al.
Published: (2026)

Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)