Copertina

SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Jiatao, Hu, Xinyu, Wan, Xiaojun
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
di: Li, Jiatao, et al.
Pubblicazione: (2024)

Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
di: Li, Jiatao, et al.
Pubblicazione: (2025)

Aspect-Guided Multi-Level Perturbation Analysis of Large Language Models in Automated Peer Review
di: Li, Jiatao, et al.
Pubblicazione: (2025)

Analyzing Cognitive Differences Among Large Language Models through the Lens of Social Worldview
di: Li, Jiatao, et al.
Pubblicazione: (2025)

Error-Robust Retrieval for Chinese Spelling Check
di: Yin, Xunjian, et al.
Pubblicazione: (2022)

AGENT-X: Adaptive Guideline-based Expert Network for Threshold-free AI-generated teXt detection
di: Li, Jiatao, et al.
Pubblicazione: (2025)

SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs
di: Zhang, Zhenliang, et al.
Pubblicazione: (2025)

CFunModel: A "Funny" Language Model Capable of Chinese Humor Generation and Processing
di: Yu, Zhenghan, et al.
Pubblicazione: (2025)

Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation
di: Gao, Mingqi, et al.
Pubblicazione: (2024)

DuetRAG: Collaborative Retrieval-Augmented Generation
di: Jiao, Dian, et al.
Pubblicazione: (2024)

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
di: Hu, Yunhai, et al.
Pubblicazione: (2025)

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation
di: Li, Zixuan, et al.
Pubblicazione: (2024)

AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles
di: Lahiri, Aritra Kumar, et al.
Pubblicazione: (2024)

TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation
di: Zhou, Huichi, et al.
Pubblicazione: (2025)

ConfRAG: Confidence-Guided Retrieval-Augmenting Generation
di: Huang, Yin, et al.
Pubblicazione: (2025)

ImpRAG: Retrieval-Augmented Generation with Implicit Queries
di: Zhang, Wenzheng, et al.
Pubblicazione: (2025)

Exploring the Multilingual NLG Evaluation Abilities of LLM-Based Evaluators
di: Chang, Jiayi, et al.
Pubblicazione: (2025)

BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
di: Li, Mingchen, et al.
Pubblicazione: (2024)

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
di: Ni, Hang, et al.
Pubblicazione: (2025)

When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
di: Xiang, Zhishang, et al.
Pubblicazione: (2025)

Zero-RAG: Towards Retrieval-Augmented Generation with Zero Redundant Knowledge
di: Luo, Qi, et al.
Pubblicazione: (2025)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
di: Fang, Jinyuan, et al.
Pubblicazione: (2025)

Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation
di: Zhang, Qianchi, et al.
Pubblicazione: (2026)

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

DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation
di: Wang, Shaohan, et al.
Pubblicazione: (2025)

Loops On Retrieval Augmented Generation (LoRAG)
di: Thakur, Ayush, et al.
Pubblicazione: (2024)

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
di: Hu, Xinyu, et al.
Pubblicazione: (2024)

A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
di: Hu, Xinyu, et al.
Pubblicazione: (2025)

PAIRS: Parametric-Verified Adaptive Information Retrieval and Selection for Efficient RAG
di: Chen, Wang, et al.
Pubblicazione: (2025)

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
di: Hu, Yucheng, et al.
Pubblicazione: (2024)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
di: Chang, Chia-Yuan, et al.
Pubblicazione: (2024)

RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation
di: Chan, Chi-Min, et al.
Pubblicazione: (2024)

YpathRAG:A Retrieval-Augmented Generation Framework and Benchmark for Pathology
di: Yu, Deshui, et al.
Pubblicazione: (2025)

BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation
di: Wang, Yuhao, et al.
Pubblicazione: (2025)

MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation
di: Xiao, Xingchen, et al.
Pubblicazione: (2026)

DF-RAG: Query-Aware Diversity for Retrieval-Augmented Generation
di: Khan, Saadat Hasan, et al.
Pubblicazione: (2026)

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation
di: Zhao, Tianzhe, et al.
Pubblicazione: (2025)

Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation
di: Chen, Jianfa, et al.
Pubblicazione: (2024)

HyperbolicRAG: Enhancing Retrieval-Augmented Generation with Hyperbolic Representations
di: Cao, Linxiao, et al.
Pubblicazione: (2025)

HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
di: Yan, Guohang, et al.
Pubblicazione: (2025)