Copertina

BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jia, Zijun, Ye, Yuanchang, Jia, Sen, Qian, Yiyao, Wang, Haoning, Chen, Baojie, Tang, Diyin, Yu, Jinsong, Wang, Zhiyuan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Coverage-Guaranteed Speech Emotion Recognition via Calibrated Uncertainty-Adaptive Prediction Sets
di: Jia, Zijun, et al.
Pubblicazione: (2025)

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

Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation
di: Wu, Suhang, et al.
Pubblicazione: (2024)

ICA-RAG: Information Completeness Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis
di: He, Jiawei, et al.
Pubblicazione: (2025)

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

UniC-RAG: Universal Knowledge Corruption Attacks to Retrieval-Augmented Generation
di: Geng, Runpeng, et al.
Pubblicazione: (2025)

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

Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
di: Jia, Zijun, et al.
Pubblicazione: (2025)

Conformal P-Value in Multiple-Choice Question Answering Tasks with Provable Risk Control
di: Ye, Yuanchang
Pubblicazione: (2025)

Mesh RAG: Retrieval Augmentation for Autoregressive Mesh Generation
di: Sun, Xiatao, et al.
Pubblicazione: (2025)

OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation
di: Zhang, Junyuan, et al.
Pubblicazione: (2024)

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
di: Zhang, Qinggang, et al.
Pubblicazione: (2025)

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models
di: Zou, Wei, et al.
Pubblicazione: (2024)

Calibrated Prediction Set in Fault Detection with Risk Guarantees via Significance Tests
di: Mei, Mingchen, et al.
Pubblicazione: (2025)

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
di: Wu, Chuanjie, et al.
Pubblicazione: (2026)

PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
di: Wang, Baiqiang, et al.
Pubblicazione: (2025)

MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Risk Decomposition
di: Hu, Anqi, et al.
Pubblicazione: (2026)

HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks
di: Chen, Zhe, et al.
Pubblicazione: (2025)

Retrieval-Augmented Generation with Graphs (GraphRAG)
di: Han, Haoyu, et al.
Pubblicazione: (2024)

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
di: Ye, Yuanchang, et al.
Pubblicazione: (2025)

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
di: Kang, Mintong, et al.
Pubblicazione: (2024)

TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval
di: Lin, Chien-Yu, et al.
Pubblicazione: (2025)

RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
di: Wang, Yu, et al.
Pubblicazione: (2025)

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

QualiRAG: Retrieval-Augmented Generation for Visual Quality Understanding
di: Cao, Linhan, et al.
Pubblicazione: (2026)

GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
di: Wang, Yifan, et al.
Pubblicazione: (2026)

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

BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain
di: Guan, Kaisi, et al.
Pubblicazione: (2024)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
di: Fan, Yuxin, et al.
Pubblicazione: (2025)

SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question Answering
di: Yu, Rui, et al.
Pubblicazione: (2026)

MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework
di: Ling, Zihan, et al.
Pubblicazione: (2025)

PrefRAG: Preference-Driven Multi-Source Retrieval Augmented Generation
di: Zhao, Qingfei, et al.
Pubblicazione: (2024)

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

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
di: Liu, Dongqi, et al.
Pubblicazione: (2026)

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation
di: Qi, Jingyuan, et al.
Pubblicazione: (2025)

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation
di: Fu, Jia, et al.
Pubblicazione: (2024)

MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
di: Zhu, Chenhui, et al.
Pubblicazione: (2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
di: Wang, Zilong, et al.
Pubblicazione: (2024)

CodeRAG-Bench: Can Retrieval Augment Code Generation?
di: Wang, Zora Zhiruo, et al.
Pubblicazione: (2024)

When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
di: Wang, Shang, et al.
Pubblicazione: (2024)