Cover Image

Grounding Language Model with Chunking-Free In-Context Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qian, Hongjin, Liu, Zheng, Mao, Kelong, Zhou, Yujia, Dou, Zhicheng
Format:	Preprint
Published:	2024
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

AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant
by: Zhou, Yujia, et al.
Published: (2024)

Boosting Long-Context Management via Query-Guided Activation Refilling
by: Qian, Hongjin, et al.
Published: (2024)

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
by: Zhou, Yujia, et al.
Published: (2024)

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
by: Li, Xiaoxi, et al.
Published: (2024)

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
by: Qian, Hongjin, et al.
Published: (2025)

Model-Document Protocol for AI Search
by: Qian, Hongjin, et al.
Published: (2025)

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
by: Deng, Chenlong, et al.
Published: (2024)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning
by: Qian, Hongjin, et al.
Published: (2025)

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

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation
by: Merola, Carlo, et al.
Published: (2025)

MemoBrain: Executive Memory as an Agentic Brain for Reasoning
by: Qian, Hongjin, et al.
Published: (2026)

Are Long-LLMs A Necessity For Long-Context Tasks?
by: Qian, Hongjin, et al.
Published: (2024)

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

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)

ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)

CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
by: Cheng, Yiruo, et al.
Published: (2024)

HiRA: A Hierarchical Reasoning Framework for Decoupled Planning and Execution in Deep Search
by: Jin, Jiajie, et al.
Published: (2025)

Search-o1: Agentic Search-Enhanced Large Reasoning Models
by: Li, Xiaoxi, et al.
Published: (2025)

Cross-Document Topic-Aligned Chunking for Retrieval-Augmented Generation
by: Stankovic, Mile
Published: (2025)

MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation
by: Qian, Hongjin, et al.
Published: (2024)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
by: Zhang, Chenghao, et al.
Published: (2025)

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks
by: Li, Xiaoxi, et al.
Published: (2024)

Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
by: Júnior, Paulo Roberto de Moura, et al.
Published: (2026)

Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
by: Chen, Huiyao, et al.
Published: (2025)

The Chronicles of RAG: The Retriever, the Chunk and the Generator
by: Finardi, Paulo, et al.
Published: (2024)

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
by: Jin, Yiqiao, et al.
Published: (2025)

SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG
by: Zhang, Xuechen, et al.
Published: (2025)

Chunking, Retrieval, and Re-ranking: An Empirical Evaluation of RAG Architectures for Policy Document Question Answering
by: Maharjan, Anuj, et al.
Published: (2026)

ChunkNorris: A High-Performance and Low-Energy Approach to PDF Parsing and Chunking
by: Ciancone, Mathieu, et al.
Published: (2025)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
by: Lee, Jinhyuk, et al.
Published: (2024)

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)

RARe: Retrieval Augmented Retrieval with In-Context Examples
by: Tejaswi, Atula, et al.
Published: (2024)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
by: Zhang, Qinggang, et al.
Published: (2025)

A Survey of Conversational Search
by: Mo, Fengran, et al.
Published: (2024)

Context-DPO: Aligning Language Models for Context-Faithfulness
by: Bi, Baolong, et al.
Published: (2024)

Retrieval meets Long Context Large Language Models
by: Xu, Peng, et al.
Published: (2023)

Robustness Risk of Conversational Retrieval: Identifying and Mitigating Noise Sensitivity in Qwen3-Embedding Model
by: Chen, Weishu, et al.
Published: (2026)

DocReLM: Mastering Document Retrieval with Language Model
by: Wei, Gengchen, et al.
Published: (2024)