Agentic-R: Learning to Retrieve for Agentic Search
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Wenhan, Ma, Xinyu, Zhu, Yutao, Li, Yuchen, Shi, Daiting, Yin, Dawei, Dou, Zhicheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoRanking: Collaborative Ranking with Small and Large Ranking Agents
by: Liu, Wenhan, et al.
Published: (2025)
by: Liu, Wenhan, et al.
Published: (2025)
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
by: Liu, Wenhan, et al.
Published: (2024)
by: Liu, Wenhan, et al.
Published: (2024)
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
by: Liu, Wenhan, et al.
Published: (2025)
by: Liu, Wenhan, et al.
Published: (2025)
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024)
by: Liu, Wenhan, et al.
Published: (2024)
Search-o1: Agentic Search-Enhanced Large Reasoning Models
by: Li, Xiaoxi, et al.
Published: (2025)
by: Li, Xiaoxi, et al.
Published: (2025)
Query-oriented Data Augmentation for Session Search
by: Chen, Haonan, et al.
Published: (2024)
by: Chen, Haonan, et al.
Published: (2024)
RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
by: Chen, Tingyu, et al.
Published: (2026)
by: Chen, Tingyu, et al.
Published: (2026)
Large Language Models for Information Retrieval: A Survey
by: Zhu, Yutao, et al.
Published: (2023)
by: Zhu, Yutao, et al.
Published: (2023)
Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search
by: Wang, Mingyue, et al.
Published: (2026)
by: Wang, Mingyue, et al.
Published: (2026)
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
by: Chen, Yiqun, et al.
Published: (2024)
by: Chen, Yiqun, et al.
Published: (2024)
Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
by: Jin, Jiajie, et al.
Published: (2026)
by: Jin, Jiajie, et al.
Published: (2026)
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
by: Zhao, Yilun, et al.
Published: (2026)
by: Zhao, Yilun, et al.
Published: (2026)
Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
by: Mo, Fengran, et al.
Published: (2026)
by: Mo, Fengran, et al.
Published: (2026)
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
by: Zhang, Hengran, et al.
Published: (2025)
by: Zhang, Hengran, et al.
Published: (2025)
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
by: Zhu, Yutao, et al.
Published: (2024)
by: Zhu, Yutao, et al.
Published: (2024)
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
by: Jin, Jiajie, et al.
Published: (2024)
by: Jin, Jiajie, et al.
Published: (2024)
RecThinker: An Agentic Framework for Tool-Augmented Reasoning in Recommendation
by: Zhang, Haobo, et al.
Published: (2026)
by: Zhang, Haobo, et al.
Published: (2026)
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
by: Deng, Chenlong, et al.
Published: (2024)
by: Deng, Chenlong, et al.
Published: (2024)
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)
by: Wang, Shuting, et al.
Published: (2024)
A Survey of Conversational Search
by: Mo, Fengran, et al.
Published: (2024)
by: Mo, Fengran, et al.
Published: (2024)
From Matching to Generation: A Survey on Generative Information Retrieval
by: Li, Xiaoxi, et al.
Published: (2024)
by: Li, Xiaoxi, et al.
Published: (2024)
Agentic Entropy-Balanced Policy Optimization
by: Dong, Guanting, et al.
Published: (2025)
by: Dong, Guanting, et al.
Published: (2025)
R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)
by: Zhao, Tong, et al.
Published: (2026)
Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
by: Hsu, Tz-Huan, et al.
Published: (2026)
by: Hsu, Tz-Huan, et al.
Published: (2026)
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation
by: Xi, Yunjia, et al.
Published: (2025)
by: Xi, Yunjia, et al.
Published: (2025)
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
by: Singh, Aditi, et al.
Published: (2025)
by: Singh, Aditi, et al.
Published: (2025)
Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
by: Feng, Tao, et al.
Published: (2026)
by: Feng, Tao, et al.
Published: (2026)
GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval
by: Seo, Wonduk, et al.
Published: (2024)
by: Seo, Wonduk, et al.
Published: (2024)
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)
by: Chen, Yiqun, et al.
Published: (2025)
Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
by: Zhang, Chenghao, et al.
Published: (2025)
by: Zhang, Chenghao, et al.
Published: (2025)
HiRA: A Hierarchical Reasoning Framework for Decoupled Planning and Execution in Deep Search
by: Jin, Jiajie, et al.
Published: (2025)
by: Jin, Jiajie, et al.
Published: (2025)
ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)
by: Wang, Zhao, et al.
Published: (2026)
Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)
by: Zhou, Yujia, et al.
Published: (2024)
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)
by: Chen, Haonan, et al.
Published: (2024)
All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution
by: Lv, Can, et al.
Published: (2026)
by: Lv, Can, et al.
Published: (2026)
TURA: Tool-Augmented Unified Retrieval Agent for AI Search
by: Zhao, Zhejun, et al.
Published: (2025)
by: Zhao, Zhejun, et al.
Published: (2025)
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2024)
by: Dong, Guanting, et al.
Published: (2024)
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)
by: Mao, Kelong, et al.
Published: (2024)
Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)
by: Wang, Liang, et al.
Published: (2025)
Similar Items
-
CoRanking: Collaborative Ranking with Small and Large Ranking Agents
by: Liu, Wenhan, et al.
Published: (2025) -
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
by: Liu, Wenhan, et al.
Published: (2024) -
ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
by: Liu, Wenhan, et al.
Published: (2025) -
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
by: Liu, Wenhan, et al.
Published: (2024) -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
by: Li, Xiaoxi, et al.
Published: (2025)