Cover Image

InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wei, Zhepei, Chen, Wei-Lin, Meng, Yu
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
by: Wang, Boxin, et al.
Published: (2023)

Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
by: Zheng, Haoyang, et al.
Published: (2025)

InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning
by: Wang, Zheng, et al.
Published: (2025)

Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
by: Yu, Erxin, et al.
Published: (2025)

AgentInstruct: Toward Generative Teaching with Agentic Flows
by: Mitra, Arindam, et al.
Published: (2024)

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories
by: Wei, Zhepei, et al.
Published: (2026)

Training Superior Sparse Autoencoders for Instruct Models
by: Li, Jiaming, et al.
Published: (2025)

The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
by: Zhu, Xinyu, et al.
Published: (2025)

Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
by: Li, Xiaochuan, et al.
Published: (2024)

InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
by: Hu, Yujia, et al.
Published: (2024)

Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents
by: Han, Kaiqiao, et al.
Published: (2026)

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
by: Jin, Bowen, et al.
Published: (2024)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
by: Baek, In-Chang, et al.
Published: (2025)

Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct
by: Ackerman, Christopher, et al.
Published: (2024)

Tackling Distribution Shift in LLM via KILO: Knowledge-Instructed Learning for Continual Adaptation
by: Muttakhiroh, Iing, et al.
Published: (2025)

Agent Instructs Large Language Models to be General Zero-Shot Reasoners
by: Crispino, Nicholas, et al.
Published: (2023)

Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
by: Kaur, Simran, et al.
Published: (2024)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
by: Luo, Haipeng, et al.
Published: (2023)

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
by: Chen, Kedi, et al.
Published: (2024)

Learning to Instruct for Visual Instruction Tuning
by: Zhou, Zhihan, et al.
Published: (2025)

MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
by: Liu, Jihao, et al.
Published: (2024)

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

EdgeInfinite-Instruct: Bridging SFT-Based Optimization and NPU-Level Efficiency for Edge Devices
by: Chen, Jiyu, et al.
Published: (2025)

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
by: Toshniwal, Shubham, et al.
Published: (2024)

Genetic Instruct: Scaling up Synthetic Generation of Coding Instructions for Large Language Models
by: Majumdar, Somshubra, et al.
Published: (2024)

Biomedical Literature Q&A System Using Retrieval-Augmented Generation (RAG)
by: Garg, Mansi, et al.
Published: (2025)

DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
by: Hei, Zijian, et al.
Published: (2024)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
by: Yu, Yue, et al.
Published: (2024)

Plan*RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
by: Verma, Prakhar, et al.
Published: (2024)

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models
by: Luo, Xianzhen, et al.
Published: (2024)

DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
by: Chen, Yangyi, et al.
Published: (2023)

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

FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation Systems
by: Fajardo, Val Andrei, et al.
Published: (2025)

InstructPro: Natural Language Guided Ligand-Binding Protein Design
by: Song, Zhenqiao, et al.
Published: (2025)

Instruct-Tuning Pretrained Causal Language Models for Ancient Greek Papyrology and Epigraphy
by: Cullhed, Eric
Published: (2024)

Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
by: Lee, Hyun, et al.
Published: (2025)

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
by: Mori, Junki, et al.
Published: (2025)

InstructIE: A Bilingual Instruction-based Information Extraction Dataset
by: Gui, Honghao, et al.
Published: (2023)

CoRAG: Collaborative Retrieval-Augmented Generation
by: Muhamed, Aashiq, et al.
Published: (2025)