Copertina

Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Yaochen, Steck, Harald, Liang, Dawen, He, Yinhan, Ostuni, Vito, Li, Jundong, Kallus, Nathan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
di: Zhu, Yaochen, et al.
Pubblicazione: (2025)

Does Weighting Improve Matrix Factorization for Recommender Systems?
di: Ayoub, Alex, et al.
Pubblicazione: (2025)

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System
di: Surana, Rohan, et al.
Pubblicazione: (2025)

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
di: He, Zhankui, et al.
Pubblicazione: (2024)

Is Cosine-Similarity of Embeddings Really About Similarity?
di: Steck, Harald, et al.
Pubblicazione: (2024)

Collaborative Large Language Model for Recommender Systems
di: Zhu, Yaochen, et al.
Pubblicazione: (2023)

Collaborative Diffusion Model for Recommender System
di: Lee, Gyuseok, et al.
Pubblicazione: (2025)

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
di: Bhattacharya, Moumita, et al.
Pubblicazione: (2024)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
di: Yue, Zhenrui, et al.
Pubblicazione: (2026)

Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based Reranking
di: Li, Chuang, et al.
Pubblicazione: (2025)

Towards Sample-Efficient and Stable Reinforcement Learning for LLM-based Recommendation
di: Ding, Hongxun, et al.
Pubblicazione: (2026)

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
di: Wang, Lin, et al.
Pubblicazione: (2026)

Federated Conversational Recommender System
di: Lin, Allen, et al.
Pubblicazione: (2025)

Understanding and Modeling Job Marketplace with Pretrained Language Models
di: Zhu, Yaochen, et al.
Pubblicazione: (2024)

Snippet-based Conversational Recommender System
di: Sun, Haibo, et al.
Pubblicazione: (2024)

Multi-Grained Patch Training for Efficient LLM-based Recommendation
di: Liao, Jiayi, et al.
Pubblicazione: (2025)

Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
di: Gu, Hongjian, et al.
Pubblicazione: (2023)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
di: Guo, Linxin, et al.
Pubblicazione: (2024)

Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
di: Yoo, Hyunsik, et al.
Pubblicazione: (2025)

Sparser Training for On-Device Recommendation Systems
di: Qu, Yunke, et al.
Pubblicazione: (2024)

Generative Conversational Recommender System
di: Zhang, Sixiao, et al.
Pubblicazione: (2026)

Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems
di: Durmus, Furkan, et al.
Pubblicazione: (2024)

GraphRAG-IRL: Personalized Recommendation with Graph-Grounded Inverse Reinforcement Learning and LLM Re-ranking
di: Liang, Siqi, et al.
Pubblicazione: (2026)

Rethinking Multi-objective Ranking Ensemble in Recommender System: From Score Fusion to Rank Consistency
di: Xia, Boyang, et al.
Pubblicazione: (2026)

Optimizing Conversational Product Recommendation via Reinforcement Learning
di: Liu, Kang
Pubblicazione: (2025)

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
di: Xu, Shuyuan, et al.
Pubblicazione: (2023)

Failure Prediction in Conversational Recommendation Systems
di: Vlachou, Maria
Pubblicazione: (2025)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
di: Bao, Keqin, et al.
Pubblicazione: (2024)

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

Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning
di: Zhang, Gangyi, et al.
Pubblicazione: (2024)

Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation
di: Zhang, Yi, et al.
Pubblicazione: (2025)

Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
di: Liu, Xingxian, et al.
Pubblicazione: (2025)

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
di: Mei, Tiehua, et al.
Pubblicazione: (2025)

User Simulator-Guided Multi-Turn Preference Optimization for Reasoning LLM-based Conversational Recommendation
di: Xiang, Xingyuan, et al.
Pubblicazione: (2026)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
di: Xi, Yunjia, et al.
Pubblicazione: (2024)

On Mitigating Data Sparsity in Conversational Recommender Systems
di: Zhang, Sixiao, et al.
Pubblicazione: (2025)

Direct Preference Optimization for LLM-Enhanced Recommendation Systems
di: Sun, Chao, et al.
Pubblicazione: (2024)

Zeroshot Listwise Learning to Rank Algorithm for Recommendation
di: Wang, Hao
Pubblicazione: (2024)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders
di: Zhu, Jie, et al.
Pubblicazione: (2025)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
di: Wang, Jie, et al.
Pubblicazione: (2024)