Copertina

Structured Knowledge Representation through Contextual Pages for Retrieval-Augmented Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xinze, Liu, Zhenghao, Xin, Haidong, Yan, Yukun, Wang, Shuo, Zeng, Zheni, Mei, Sen, Yu, Ge, Sun, Maosong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
di: Wu, Mingyan, et al.
Pubblicazione: (2025)

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models
di: Liu, Shuliang, et al.
Pubblicazione: (2025)

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
di: Li, Xinze, et al.
Pubblicazione: (2024)

NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
di: Dai, Jihao, et al.
Pubblicazione: (2026)

Finding What Matters: Anchoring Context Knowledge with Evolving Indices for Iterative Retrieval
di: Wu, Mingyan, et al.
Pubblicazione: (2026)

MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization
di: Xin, Haidong, et al.
Pubblicazione: (2026)

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
di: Chen, Hao, et al.
Pubblicazione: (2025)

Scientific Knowledge-driven Decoding Constraints Improving the Reliability of LLMs
di: Ma, Maotian, et al.
Pubblicazione: (2026)

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
di: Zeng, Zheni, et al.
Pubblicazione: (2024)

KARE-RAG: Knowledge-Aware Refinement and Enhancement for RAG
di: Li, Yongjian, et al.
Pubblicazione: (2025)

Building A Coding Assistant via the Retrieval-Augmented Language Model
di: Li, Xinze, et al.
Pubblicazione: (2024)

KG-Infused RAG: Augmenting Corpus-Based RAG with External Knowledge Graphs
di: Wu, Dingjun, et al.
Pubblicazione: (2025)

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation
di: Peng, Chunyi, et al.
Pubblicazione: (2025)

ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
di: Huang, Pengcheng, et al.
Pubblicazione: (2025)

Long-Chain Reasoning Distillation via Adaptive Prefix Alignment
di: Liu, Zhenghao, et al.
Pubblicazione: (2026)

Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression
di: Li, Xinze, et al.
Pubblicazione: (2024)

ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
di: Xu, Zhipeng, et al.
Pubblicazione: (2024)

Enhancing Long-Chain Reasoning Distillation through Error-Aware Self-Reflection
di: Wu, Zhuoyang, et al.
Pubblicazione: (2025)

PersLLM: A Personified Training Approach for Large Language Models
di: Zeng, Zheni, et al.
Pubblicazione: (2024)

DeepNote: Note-Centric Deep Retrieval-Augmented Generation
di: Wang, Ruobing, et al.
Pubblicazione: (2024)

VisRAG 2.0: Evidence-Guided Multi-Image Reasoning in Visual Retrieval-Augmented Generation
di: Sun, Yubo, et al.
Pubblicazione: (2025)

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
di: Duan, Shaohua, et al.
Pubblicazione: (2025)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
di: Chen, Hao, et al.
Pubblicazione: (2026)

Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
di: Liu, Zhenghao, et al.
Pubblicazione: (2025)

DrugR: Optimizing Molecular Drugs through LLM-based Explicit Reasoning
di: Liu, Haoran, et al.
Pubblicazione: (2026)

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
di: Yu, Shi, et al.
Pubblicazione: (2024)

HIPPO: Enhancing the Table Understanding Capability of LLMs through Hybrid-Modal Preference Optimization
di: Wang, Haolan, et al.
Pubblicazione: (2025)

ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
di: Jin, Zhensheng, et al.
Pubblicazione: (2025)

LegalDuet: Learning Fine-grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning
di: Xu, Buqiang, et al.
Pubblicazione: (2024)

UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
di: Chen, Yuxuan, et al.
Pubblicazione: (2025)

Empirical Analysis of Decoding Biases in Masked Diffusion Models
di: Huang, Pengcheng, et al.
Pubblicazione: (2025)

Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation
di: Du, Xinkai, et al.
Pubblicazione: (2024)

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset
di: Wang, Haoyu, et al.
Pubblicazione: (2024)

Legal$Δ$: Enhancing Legal Reasoning in LLMs via Reinforcement Learning with Chain-of-Thought Guided Information Gain
di: Dai, Xin, et al.
Pubblicazione: (2025)

KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval
di: Bui, Chi Minh, et al.
Pubblicazione: (2025)

AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research
di: Li, Yishan, et al.
Pubblicazione: (2026)

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking
di: Ji, Yifan, et al.
Pubblicazione: (2025)

FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs
di: Gao, Zengyi, et al.
Pubblicazione: (2025)

LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation
di: Xin, Haidong, et al.
Pubblicazione: (2025)

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
di: Zhu, Kunlun, et al.
Pubblicazione: (2024)