Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Wei, Wenda, Liu, Yu-An, Zhang, Ruqing, Guo, Jiafeng, Su, Lixin, Wang, Shuaiqiang, Yin, Dawei, de Rijke, Maarten, Cheng, Xueqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025)
by: Zhang, Yingchen, et al.
Published: (2025)
Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025)
by: Tang, Yubao, et al.
Published: (2025)
Listwise Generative Retrieval Models via a Sequential Learning Process
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
by: Song, Hongru, et al.
Published: (2026)
by: Song, Hongru, et al.
Published: (2026)
On the Robustness of Generative Information Retrieval Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
On the Scaling of Robustness and Effectiveness in Dense Retrieval
by: Liu, Yu-An, et al.
Published: (2025)
by: Liu, Yu-An, et al.
Published: (2025)
Reason to Retrieve: Enhancing Query Understanding through Decomposition and Interpretation
by: Zhong, Yunfei, et al.
Published: (2025)
by: Zhong, Yunfei, et al.
Published: (2025)
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)
by: Song, Hongru, et al.
Published: (2025)
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
by: Zhang, Hengran, et al.
Published: (2023)
by: Zhang, Hengran, et al.
Published: (2023)
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
Robust Information Retrieval
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Continual Learning for Generative Retrieval over Dynamic Corpora
by: Chen, Jiangui, et al.
Published: (2023)
by: Chen, Jiangui, et al.
Published: (2023)
VeriCite: Towards Reliable Citations in Retrieval-Augmented Generation via Rigorous Verification
by: Qian, Haosheng, et al.
Published: (2025)
by: Qian, Haosheng, et al.
Published: (2025)
Are Large Language Models Good at Utility Judgments?
by: Zhang, Hengran, et al.
Published: (2024)
by: Zhang, Hengran, et al.
Published: (2024)
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)
by: Liu, Yu-An, et al.
Published: (2024)
LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
LLMs as Sparse Retrievers:A Framework for First-Stage Product Search
by: Song, Hongru, et al.
Published: (2025)
by: Song, Hongru, et al.
Published: (2025)
TrustRAG: An Information Assistant with Retrieval Augmented Generation
by: Fan, Yixing, et al.
Published: (2025)
by: Fan, Yixing, et al.
Published: (2025)
Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks
by: Guo, Jiafeng, et al.
Published: (2024)
by: Guo, Jiafeng, et al.
Published: (2024)
An Empirical Study of Evaluating Long-form Question Answering
by: Xian, Ning, et al.
Published: (2025)
by: Xian, Ning, et al.
Published: (2025)
Can LLM Annotations Replace User Clicks for Learning to Rank?
by: Yu, Lulu, et al.
Published: (2025)
by: Yu, Lulu, et al.
Published: (2025)
A Generative Framework for Personalized Sticker Retrieval
by: Zhou, Changjiang, et al.
Published: (2025)
by: Zhou, Changjiang, et al.
Published: (2025)
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning
by: Bi, Keping, et al.
Published: (2024)
by: Bi, Keping, et al.
Published: (2024)
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
by: Sun, Weiwei, et al.
Published: (2025)
by: Sun, Weiwei, et al.
Published: (2025)
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)
by: Song, Hongru, et al.
Published: (2025)
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
Replication and Exploration of Generative Retrieval over Dynamic Corpora
by: Zhang, Zhen, et al.
Published: (2025)
by: Zhang, Zhen, et al.
Published: (2025)
Model Editing for New Document Integration in Generative Information Retrieval
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
Multi-Step Semantic Reasoning in Generative Retrieval
by: Dong, Steven, et al.
Published: (2026)
by: Dong, Steven, et al.
Published: (2026)
RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
by: Guo, Yucan, et al.
Published: (2025)
by: Guo, Yucan, et al.
Published: (2025)
Bridging Queries and Tables through Entities in Table Retrieval
by: Li, Da, et al.
Published: (2025)
by: Li, Da, et al.
Published: (2025)
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)
by: Chen, Yiqun, et al.
Published: (2025)
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
by: Li, Da, et al.
Published: (2025)
by: Li, Da, et al.
Published: (2025)
Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)
by: Wu, Shiguang, et al.
Published: (2024)
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
by: Yu, Lulu, et al.
Published: (2025)
by: Yu, Lulu, et al.
Published: (2025)
Similar Items
-
Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024) -
Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025) -
Generative Retrieval for Book search
by: Tang, Yubao, et al.
Published: (2025) -
Listwise Generative Retrieval Models via a Sequential Learning Process
by: Tang, Yubao, et al.
Published: (2024) -
AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
by: Song, Hongru, et al.
Published: (2026)