Cover Image

GRACE: Generative Representation Learning via Contrastive Policy Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Jiashuo, Liu, Shixuan, Su, Zhaochen, Zhong, Xianrui, Jiang, Pengcheng, Jin, Bowen, Li, Peiran, Shi, Weijia, Han, Jiawei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning
by: Wu, Junlin, et al.
Published: (2025)

Benchmarking Retrieval-Augmented Generation for Chemistry
by: Zhong, Xianrui, et al.
Published: (2025)

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
by: Jiang, Pengcheng, et al.
Published: (2026)

FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
by: Yang, Wei, et al.
Published: (2026)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
by: Jiang, Pengcheng, et al.
Published: (2025)

PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval
by: Kweon, Wonbin, et al.
Published: (2025)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
by: Tang, Jiakai, et al.
Published: (2024)

Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
by: Jiang, Pengcheng, et al.
Published: (2026)

Contrastive Representation for Interactive Recommendation
by: Li, Jingyu, et al.
Published: (2024)

Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
by: Fan, Wei, et al.
Published: (2023)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
by: Ma, Luyi, et al.
Published: (2025)

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
by: Kang, SeongKu, et al.
Published: (2025)

CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval
by: Tian, Runchu, et al.
Published: (2025)

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning
by: Si, Zihua, et al.
Published: (2023)

Taxonomy-guided Semantic Indexing for Academic Paper Search
by: Kang, SeongKu, et al.
Published: (2024)

ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning
by: Ding, Hang, et al.
Published: (2025)

PrLM: Learning Explicit Reasoning for Personalized RAG via Contrastive Reward Optimization
by: Zhang, Kepu, et al.
Published: (2025)

Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
by: Zhu, Jieming, et al.
Published: (2024)

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy
by: Kang, SeongKu, et al.
Published: (2024)

Representation Quantization for Collaborative Filtering Augmentation
by: Luo, Yunze, et al.
Published: (2025)

CRENER: A Character Relation Enhanced Chinese NER Model
by: Qiao, Yaqiong, et al.
Published: (2024)

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking
by: Ji, Yifan, et al.
Published: (2025)

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective
by: Jin, Bowen, et al.
Published: (2025)

OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)

Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
by: Zheng, Bowen, et al.
Published: (2024)

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
by: Xin, Haoran, et al.
Published: (2025)

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents
by: Jin, Bowen, et al.
Published: (2025)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering
by: Chen, Huiyuan, et al.
Published: (2023)

What Generative Search Engines Like and How to Optimize Web Content Cooperatively
by: Wu, Yujiang, et al.
Published: (2025)

Unified Value Alignment for Generative Recommendation in Industrial Advertising
by: Zhang, Xinxun, et al.
Published: (2026)

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

Generative Recommender with End-to-End Learnable Item Tokenization
by: Liu, Enze, et al.
Published: (2024)

Equity vs. Equality: Optimizing Ranking Fairness for Tailored Provider Needs
by: Tu, Yiteng, et al.
Published: (2026)

Intent Propagation Contrastive Collaborative Filtering
by: Li, Haojie, et al.
Published: (2026)

Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)

SaFRO: Satisfaction-Aware Fusion via Dual-Relative Policy Optimization for Short-Video Search
by: Zhou, Renzhe, et al.
Published: (2026)

Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs
by: Xin, Haoran, et al.
Published: (2025)

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
by: Lu, Penghao, et al.
Published: (2025)

DIAURec: Dual-Intent Space Representation Optimization for Recommendation
by: Zhang, Yu, et al.
Published: (2026)