:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Tan, Jiejun, Dou, Zhicheng, Zhu, Yutao, Guo, Peidong, Fang, Kun, Wen, Ji-Rong
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2402.12052
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
por: Tan, Jiejun, et al.
Publicado: (2026)

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
por: Tan, Jiejun, et al.
Publicado: (2024)

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
por: Zhu, Yutao, et al.
Publicado: (2024)

OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
por: Wang, Shuting, et al.
Publicado: (2024)

Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning
por: Hu, Yuyang, et al.
Publicado: (2026)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2024)

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
por: Wang, Shuting, et al.
Publicado: (2024)

Query-oriented Data Augmentation for Session Search
por: Chen, Haonan, et al.
Publicado: (2024)

Progressive Multimodal Reasoning via Active Retrieval
por: Dong, Guanting, et al.
Publicado: (2024)

ChatShopBuddy: Towards Reliable Conversational Shopping Agents via Reinforcement Learning
por: Cheng, Yiruo, et al.
Publicado: (2026)

Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2024)

UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models
por: Huang, Zhaoheng, et al.
Publicado: (2024)

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization
por: Zhu, Yutao, et al.
Publicado: (2025)

BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence
por: Jin, Jiajie, et al.
Publicado: (2024)

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
por: Tan, Jiejun, et al.
Publicado: (2025)

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
por: Zhao, Tong, et al.
Publicado: (2026)

Large Language Models for Information Retrieval: A Survey
por: Zhu, Yutao, et al.
Publicado: (2023)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task
por: Liu, Wenhan, et al.
Publicado: (2024)

ATIR: Towards Audio-Text Interleaved Contextual Retrieval
por: Zhao, Tong, et al.
Publicado: (2026)

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
por: Song, Xiaoshuai, et al.
Publicado: (2026)

WebThinker: Empowering Large Reasoning Models with Deep Research Capability
por: Li, Xiaoxi, et al.
Publicado: (2025)

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
por: Zhu, Yutao, et al.
Publicado: (2024)

From Novice to Expert: LLM Agent Policy Optimization via Step-wise Reinforcement Learning
por: Deng, Zhirui, et al.
Publicado: (2024)

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
por: Jin, Jiajie, et al.
Publicado: (2024)

RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation
por: Wang, Shuting, et al.
Publicado: (2024)

DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes
por: Cheng, Jiehan, et al.
Publicado: (2025)

Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration
por: Chen, Yifei, et al.
Publicado: (2025)

Agentic-R: Learning to Retrieve for Agentic Search
por: Liu, Wenhan, et al.
Publicado: (2026)

CoRanking: Collaborative Ranking with Small and Large Ranking Agents
por: Liu, Wenhan, et al.
Publicado: (2025)

Can Confidence Estimates Decide When Chain-of-Thought Is Necessary for LLMs?
por: Lewis-Lim, Samuel, et al.
Publicado: (2025)

From Matching to Generation: A Survey on Generative Information Retrieval
por: Li, Xiaoxi, et al.
Publicado: (2024)

LaSER: Internalizing Explicit Reasoning into Latent Space for Dense Retrieval
por: Jin, Jiajie, et al.
Publicado: (2026)

LLMs + Persona-Plug = Personalized LLMs
por: Liu, Jiongnan, et al.
Publicado: (2024)

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models
por: Liu, Qi, et al.
Publicado: (2024)

Memory-enhanced Retrieval Augmentation for Long Video Understanding
por: Yuan, Huaying, et al.
Publicado: (2025)

RecThinker: An Agentic Framework for Tool-Augmented Reasoning in Recommendation
por: Zhang, Haobo, et al.
Publicado: (2026)

SAM: State-Adaptive Memory for Long-Horizon Reasoning Agent
por: Hu, Yuyang, et al.
Publicado: (2026)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
por: Liu, Wenhan, et al.
Publicado: (2024)

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
por: Dong, Guanting, et al.
Publicado: (2025)

A Multi-Task Embedder For Retrieval Augmented LLMs
por: Zhang, Peitian, et al.
Publicado: (2023)