RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Zhiwen, Huang, Jiaming, Wu, Qintong, Zhang, Hongxuan, Zhuang, Chenyi, Gu, Jinjie
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

ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
by: Zhao, Shu, et al.
Published: (2025)

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
by: Song, Huatong, et al.
Published: (2025)

DistRAG: Towards Distance-Based Spatial Reasoning in LLMs
by: Schneider, Nicole R, et al.
Published: (2025)

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation
by: Wang, Shuai, et al.
Published: (2024)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents
by: Zhang, Weizhi, et al.
Published: (2025)

Beyond the limitation of a single query: Train your LLM for query expansion with Reinforcement Learning
by: Zhao, Shu, et al.
Published: (2025)

MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
by: Wang, Yu, et al.
Published: (2026)

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
by: Jin, Bowen, et al.
Published: (2025)

Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction
by: Zhao, Yao, et al.
Published: (2024)

StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering
by: Ni, Tengjun, et al.
Published: (2025)

Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG
by: Khadilkar, Harshad, et al.
Published: (2025)

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval
by: Wu, Xixi, et al.
Published: (2025)

R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
by: Song, Huatong, et al.
Published: (2025)

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
by: Wang, Xihang, et al.
Published: (2026)

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)

SD-Search: On-Policy Hindsight Self-Distillation for Search-Augmented Reasoning
by: Ma, Yufei, et al.
Published: (2026)

TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)

IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning
by: Liang, Zihan, et al.
Published: (2026)

MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation
by: Wu, Wenlong, et al.
Published: (2025)

Multi-Head RAG: Solving Multi-Aspect Problems with LLMs
by: Besta, Maciej, et al.
Published: (2024)

ScholarSearch: Benchmarking Scholar Searching Ability of LLMs
by: Zhou, Junting, et al.
Published: (2025)

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval
by: Peng, Peng, et al.
Published: (2026)

Large Search Model: Redefining Search Stack in the Era of LLMs
by: Wang, Liang, et al.
Published: (2023)

ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
by: Xu, Peng, et al.
Published: (2024)

ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
by: Zhu, Changtai, et al.
Published: (2025)

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning
by: Li, Jinzheng, et al.
Published: (2025)

Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing
by: Yang, Diji, et al.
Published: (2025)

BioRAG: A RAG-LLM Framework for Biological Question Reasoning
by: Wang, Chengrui, et al.
Published: (2024)

Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy
by: Zhao, Yao, et al.
Published: (2023)

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)

RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration
by: Yu, Hong Qing, et al.
Published: (2025)

A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning
by: Yuan, Ye, et al.
Published: (2024)

From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
by: Wu, Wenhao, et al.
Published: (2026)

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
by: Zhuang, Shengyao, et al.
Published: (2025)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
by: Wei, Shaowei, et al.
Published: (2024)

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training
by: Salemi, Alireza, et al.
Published: (2025)

Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
by: Mo, Fengran, et al.
Published: (2026)

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
by: Cuconasu, Florin, et al.
Published: (2024)

RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
by: Chen, Tingyu, et al.
Published: (2026)

Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
by: Chen, Baiyu, et al.
Published: (2025)