Guardado en:
| Autores principales: | Luo, Qi, Li, Xiaonan, Wang, Yuxin, Fan, Tingshuo, Li, Yuan, Chen, Xinchi, Qiu, Xipeng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.27569 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Global Retrieval Augmented Generation: A Benchmark for Corpus-Level Reasoning
por: Luo, Qi, et al.
Publicado: (2025)
por: Luo, Qi, et al.
Publicado: (2025)
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
por: Li, Yuan, et al.
Publicado: (2025)
por: Li, Yuan, et al.
Publicado: (2025)
Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
por: Luo, Qi, et al.
Publicado: (2025)
por: Luo, Qi, et al.
Publicado: (2025)
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
por: Li, Xiaonan, et al.
Publicado: (2023)
por: Li, Xiaonan, et al.
Publicado: (2023)
Unified Active Retrieval for Retrieval Augmented Generation
por: Cheng, Qinyuan, et al.
Publicado: (2024)
por: Cheng, Qinyuan, et al.
Publicado: (2024)
AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems
por: Wang, Weiyi, et al.
Publicado: (2026)
por: Wang, Weiyi, et al.
Publicado: (2026)
Beyond Rating: A Comprehensive Evaluation and Benchmark for AI Reviews
por: Li, Bowen, et al.
Publicado: (2026)
por: Li, Bowen, et al.
Publicado: (2026)
Agentic-R: Learning to Retrieve for Agentic Search
por: Liu, Wenhan, et al.
Publicado: (2026)
por: Liu, Wenhan, et al.
Publicado: (2026)
AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering
por: Wang, Yuxin, et al.
Publicado: (2026)
por: Wang, Yuxin, et al.
Publicado: (2026)
FamilyTool: A Multi-hop Personalized Tool Use Benchmark
por: Wang, Yuxin, et al.
Publicado: (2025)
por: Wang, Yuxin, et al.
Publicado: (2025)
Beyond Single-Shot: Multi-step Tool Retrieval via Query Planning
por: Fang, Wei, et al.
Publicado: (2026)
por: Fang, Wei, et al.
Publicado: (2026)
Multi-hop Reasoning via Early Knowledge Alignment
por: Wang, Yuxin, et al.
Publicado: (2025)
por: Wang, Yuxin, et al.
Publicado: (2025)
AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts
por: Fang, Shicheng, et al.
Publicado: (2026)
por: Fang, Shicheng, et al.
Publicado: (2026)
ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
por: Zhu, Changtai, et al.
Publicado: (2025)
por: Zhu, Changtai, et al.
Publicado: (2025)
Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning
por: Cheng, Mingyue, et al.
Publicado: (2025)
por: Cheng, Mingyue, et al.
Publicado: (2025)
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
por: Zhang, Taolin, et al.
Publicado: (2024)
por: Zhang, Taolin, et al.
Publicado: (2024)
Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval
por: Chen, Hung-Ting, et al.
Publicado: (2025)
por: Chen, Hung-Ting, et al.
Publicado: (2025)
To Retrieve or To Think? An Agentic Approach for Context Evolution
por: Chen, Rubing, et al.
Publicado: (2026)
por: Chen, Rubing, et al.
Publicado: (2026)
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
por: Fei, Zhaoye, et al.
Publicado: (2025)
por: Fei, Zhaoye, et al.
Publicado: (2025)
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
por: Zhang, Zongmeng, et al.
Publicado: (2024)
por: Zhang, Zongmeng, et al.
Publicado: (2024)
Reinforced Information Retrieval
por: Li, Chaofan, et al.
Publicado: (2025)
por: Li, Chaofan, et al.
Publicado: (2025)
Optimizing Retrieval for RAG via Reinforcement Learning
por: Zhou, Jiawei, et al.
Publicado: (2025)
por: Zhou, Jiawei, et al.
Publicado: (2025)
Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
por: Jiang, Botian, et al.
Publicado: (2024)
por: Jiang, Botian, et al.
Publicado: (2024)
Scaling Laws for Fact Memorization of Large Language Models
por: Lu, Xingyu, et al.
Publicado: (2024)
por: Lu, Xingyu, et al.
Publicado: (2024)
Multi-Field Tool Retrieval
por: Tang, Yichen, et al.
Publicado: (2026)
por: Tang, Yichen, et al.
Publicado: (2026)
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
por: Huang, Shouzheng, et al.
Publicado: (2026)
por: Huang, Shouzheng, et al.
Publicado: (2026)
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
por: Liu, Di, et al.
Publicado: (2024)
por: Liu, Di, et al.
Publicado: (2024)
REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
por: Zhang, Le, et al.
Publicado: (2025)
por: Zhang, Le, et al.
Publicado: (2025)
Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation
por: Qi, Rui, et al.
Publicado: (2026)
por: Qi, Rui, et al.
Publicado: (2026)
ToolGen: Unified Tool Retrieval and Calling via Generation
por: Wang, Renxi, et al.
Publicado: (2024)
por: Wang, Renxi, et al.
Publicado: (2024)
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA
por: Pu, Yuan, et al.
Publicado: (2024)
por: Pu, Yuan, et al.
Publicado: (2024)
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval
por: Xu, Mingjun, et al.
Publicado: (2025)
por: Xu, Mingjun, et al.
Publicado: (2025)
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
por: Jiang, Dongfu, et al.
Publicado: (2025)
por: Jiang, Dongfu, et al.
Publicado: (2025)
Logic-Oriented Retriever Enhancement via Contrastive Learning
por: Zhang, Wenxuan, et al.
Publicado: (2026)
por: Zhang, Wenxuan, et al.
Publicado: (2026)
Beyond Rows to Reasoning: Agentic Retrieval for Multimodal Spreadsheet Understanding and Editing
por: Gulati, Anmol, et al.
Publicado: (2026)
por: Gulati, Anmol, et al.
Publicado: (2026)
Tool Retrieval Bridge: Aligning Vague Instructions with Retriever Preferences via Bridge Model
por: Chen, Kunfeng, et al.
Publicado: (2026)
por: Chen, Kunfeng, et al.
Publicado: (2026)
ToolSpec: Accelerating Tool Calling via Schema-Aware and Retrieval-Augmented Speculative Decoding
por: Xia, Heming, et al.
Publicado: (2026)
por: Xia, Heming, et al.
Publicado: (2026)
Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation
por: Ji, Yuelyu, et al.
Publicado: (2025)
por: Ji, Yuelyu, et al.
Publicado: (2025)
Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning
por: Lu, Keer, et al.
Publicado: (2025)
por: Lu, Keer, et al.
Publicado: (2025)
LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
por: Wang, Jianing, et al.
Publicado: (2026)
por: Wang, Jianing, et al.
Publicado: (2026)
Ejemplares similares
-
Towards Global Retrieval Augmented Generation: A Benchmark for Corpus-Level Reasoning
por: Luo, Qi, et al.
Publicado: (2025) -
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
por: Li, Yuan, et al.
Publicado: (2025) -
Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
por: Luo, Qi, et al.
Publicado: (2025) -
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
por: Li, Xiaonan, et al.
Publicado: (2023) -
Unified Active Retrieval for Retrieval Augmented Generation
por: Cheng, Qinyuan, et al.
Publicado: (2024)