Copertina

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bezerra, Yuri Facanha, Weigang, Li
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SLIM-RAFT: A Novel Fine-Tuning Approach to Improve Cross-Linguistic Performance for Mercosur Common Nomenclature
di: Di Oliveira, Vinícius, et al.
Pubblicazione: (2024)

Enhancing RAG Efficiency with Adaptive Context Compression
di: Guo, Shuyu, et al.
Pubblicazione: (2025)

ContextRAG: Extraction-Free Hierarchical Graph Construction for Retrieval-Augmented Generation
di: Prosvirnin, Roman, et al.
Pubblicazione: (2026)

Abstract2Appendix: Academic Reviews Enhance LLM Long-Context Capabilities
di: Li, Shengzhi, et al.
Pubblicazione: (2024)

Recontextualizing Famous Quotes for Brand Slogan Generation
di: Yang, Ziao, et al.
Pubblicazione: (2026)

FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAG
di: Hong, Yubin, et al.
Pubblicazione: (2025)

From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples
di: Vacareanu, Robert, et al.
Pubblicazione: (2024)

EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
di: Yao, Ruobing, et al.
Pubblicazione: (2025)

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models
di: Wang, Danqing, et al.
Pubblicazione: (2024)

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

From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
di: Chu, Yucheng, et al.
Pubblicazione: (2026)

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules
di: Zhang, Yueqi, et al.
Pubblicazione: (2025)

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models
di: Moon, Hyeonseok, et al.
Pubblicazione: (2025)

ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses
di: Gumaan, Esmail
Pubblicazione: (2025)

RAG Makes Guardrails Unsafe? Investigating Robustness of Guardrails under RAG-style Contexts
di: She, Yining, et al.
Pubblicazione: (2025)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
di: Hua, Wenyue, et al.
Pubblicazione: (2024)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP
di: Cheetirala, Satya Narayana, et al.
Pubblicazione: (2025)

CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models
di: Tan, Zhehao, et al.
Pubblicazione: (2026)

Enhancing Context Through Contrast
di: Ambilduke, Kshitij, et al.
Pubblicazione: (2024)

From RAG to Agentic RAG for Faithful Islamic Question Answering
di: Bhatia, Gagan, et al.
Pubblicazione: (2026)

Hit-RAG: Learning to Reason with Long Contexts via Preference Alignment
di: Liu, Junming, et al.
Pubblicazione: (2026)

"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
di: Weller, Orion, et al.
Pubblicazione: (2023)

ArcAligner: Adaptive Recursive Aligner for Compressed Context Embeddings in RAG
di: Li, Jianbo, et al.
Pubblicazione: (2026)

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
di: Gutiérrez, Bernal Jiménez, et al.
Pubblicazione: (2025)

Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought
di: Li, Zaijing, et al.
Pubblicazione: (2024)

VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples
di: Sun, Qixin, et al.
Pubblicazione: (2025)

DrugRAG: Enhancing Pharmacy LLM Performance Through A Novel Retrieval-Augmented Generation Pipeline
di: Kazemzadeh, Houman, et al.
Pubblicazione: (2025)

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

Less Is More: Elevating RAG via Performance-Driven Context Compression
di: Cui, Ziqiang, et al.
Pubblicazione: (2025)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
di: Li, Feiyang, et al.
Pubblicazione: (2025)

ECoRAG: Evidentiality-guided Compression for Long Context RAG
di: Jeong, Yeonseok, et al.
Pubblicazione: (2025)

LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
di: Ye, Zhifan, et al.
Pubblicazione: (2025)

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
di: Markondapatnaikuni, Hruday, et al.
Pubblicazione: (2025)

Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device
di: Lee, Juntae, et al.
Pubblicazione: (2025)

Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback
di: Yu, Song, et al.
Pubblicazione: (2024)

Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation
di: Shandilya, Bhargav, et al.
Pubblicazione: (2024)

Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
di: Bertsch, Amanda, et al.
Pubblicazione: (2025)

Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?
di: Aggarwal, Piush, et al.
Pubblicazione: (2024)

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
di: Lee, Zhicheng, et al.
Pubblicazione: (2025)

Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
di: Ju, Li, et al.
Pubblicazione: (2026)