Imagen de Portada

RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Yanming, Peng, Xinyue, Zhang, Xuhong, Liu, Weihao, Yin, Jianwei, Cao, Jiannan, Du, Tianyu
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
por: Liu, Yanming, et al.
Publicado: (2024)

ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis
por: Liu, Yanming, et al.
Publicado: (2024)

Tool-Planner: Task Planning with Clusters across Multiple Tools
por: Liu, Yanming, et al.
Publicado: (2024)

ToolGate: Contract-Grounded and Verified Tool Execution for LLMs
por: Liu, Yanming, et al.
Publicado: (2026)

Dep-Search: Learning Dependency-Aware Reasoning Traces with Persistent Memory
por: Liu, Yanming, et al.
Publicado: (2026)

DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
por: Liu, Yanming, et al.
Publicado: (2024)

NC2C: Automated Convexification of Generic Non-Convex Optimization Problems
por: Peng, Xinyue, et al.
Publicado: (2026)

HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
por: Zhang, Yucheng, et al.
Publicado: (2024)

LLM-OptiRA: LLM-Driven Optimization of Resource Allocation for Non-Convex Problems in Wireless Communications
por: Peng, Xinyue, et al.
Publicado: (2025)

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
por: Huang, Chengsong, et al.
Publicado: (2023)

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

RA-DIT: Retrieval-Augmented Dual Instruction Tuning
por: Lin, Xi Victoria, et al.
Publicado: (2023)

Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization
por: Bao, Yuntai, et al.
Publicado: (2025)

StackRAG Agent: Improving Developer Answers with Retrieval-Augmented Generation
por: Abrahamyan, Davit, et al.
Publicado: (2024)

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
por: Zheng, Tianyu, et al.
Publicado: (2024)

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
por: Xu, Qiancheng, et al.
Publicado: (2024)

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
por: Huang, Yuqing, et al.
Publicado: (2025)

Stateful Evidence-Driven Retrieval-Augmented Generation with Iterative Reasoning
por: Dong, Qi, et al.
Publicado: (2026)

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
por: Qi, Jirui, et al.
Publicado: (2024)

Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks
por: Bao, Yuntai, et al.
Publicado: (2025)

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
por: Xiong, Guangzhi, et al.
Publicado: (2024)

Context Over Compute Human-in-the-Loop Outperforms Iterative Chain-of-Thought Prompting in Interview Answer Quality
por: Zhu, Kewen, et al.
Publicado: (2026)

Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
por: Wang, Zifan, et al.
Publicado: (2024)

Language Models Can Learn from Verbal Feedback Without Scalar Rewards
por: Luo, Renjie, et al.
Publicado: (2025)

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

SPA: Towards A Computational Friendly Cloud-Base and On-Devices Collaboration Seq2seq Personalized Generation with Casual Inference
por: Liu, Yanming, et al.
Publicado: (2024)

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
por: Zheng, Jiamu, et al.
Publicado: (2024)

CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis
por: Zhang, Xinyu, et al.
Publicado: (2025)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
por: Liu, Tianyu, et al.
Publicado: (2024)

Augmenting Math Word Problems via Iterative Question Composing
por: Liu, Haoxiong, et al.
Publicado: (2024)

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
por: Li, Rui, et al.
Publicado: (2025)

History-Guided Iterative Visual Reasoning with Self-Correction
por: Yang, Xinglong, et al.
Publicado: (2026)

A Problem-Oriented Perspective and Anchor Verification for Code Optimization
por: Ye, Tong, et al.
Publicado: (2024)

Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
por: Wiegreffe, Sarah, et al.
Publicado: (2024)

SKILL-RAG: Self-Knowledge Induced Learning and Filtering for Retrieval-Augmented Generation
por: Isoda, Tomoaki
Publicado: (2025)

Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
por: Bai, Yu, et al.
Publicado: (2024)

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
por: Zhang, Hengran, et al.
Publicado: (2025)

A Survey on Knowledge-Oriented Retrieval-Augmented Generation
por: Cheng, Mingyue, et al.
Publicado: (2025)

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
por: Liu, Peiyang, et al.
Publicado: (2026)

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing
por: Li, Kuan, et al.
Publicado: (2025)