Cover Image

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Boxin, Ping, Wei, McAfee, Lawrence, Xu, Peng, Li, Bo, Shoeybi, Mohammad, Catanzaro, Bryan
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Retrieval meets Long Context Large Language Models
by: Xu, Peng, et al.
Published: (2023)

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

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

ChatQA: Surpassing GPT-4 on Conversational QA and RAG
by: Liu, Zihan, et al.
Published: (2024)

MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
by: Lin, Sheng-Chieh, et al.
Published: (2024)

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
by: Lee, Chankyu, et al.
Published: (2024)

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

Instruction-based Hypergraph Pretraining
by: Yang, Mingdai, et al.
Published: (2024)

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
by: Sun, Weiwei, et al.
Published: (2024)

DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation
by: Hsu, Hsin-Ling, et al.
Published: (2025)

Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
by: Lan, Junwei, et al.
Published: (2025)

Captions Are Worth a Thousand Words: Enhancing Product Retrieval with Pretrained Image-to-Text Models
by: Tang, Jason, et al.
Published: (2024)

Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
by: Rashiti, Gentiana, et al.
Published: (2024)

HKRAG: Holistic Knowledge Retrieval-Augmented Generation Over Visually-Rich Documents
by: Tong, Anyang, et al.
Published: (2025)

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
by: Liu, Qidong, et al.
Published: (2024)

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation
by: Zhang, Ze Yu, et al.
Published: (2025)

Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
by: Zhou, Jianqun, et al.
Published: (2024)

Can Instructed Retrieval Models Really Support Exploration?
by: Maheshwari, Piyush, et al.
Published: (2026)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
by: Yue, Zhenrui, et al.
Published: (2026)

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance
by: Xu, Tingqiao, et al.
Published: (2025)

Augmenting Textual Generation via Topology Aware Retrieval
by: Wang, Yu, et al.
Published: (2024)

RecLM: Recommendation Instruction Tuning
by: Jiang, Yangqin, et al.
Published: (2024)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning
by: Xu, Yongxin, et al.
Published: (2024)

Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
by: Hemmat, Arshia, et al.
Published: (2024)

STAR: Semantic-Tuned and Tail-Adaptive Retriever for Graph-Augmented Generation
by: Li, Shuai, et al.
Published: (2026)

Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
by: Nandi, Subhadip, et al.
Published: (2024)

XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security
by: Jelodar, Hamed, et al.
Published: (2025)

Context Awareness Gate For Retrieval Augmented Generation
by: Heydari, Mohammad Hassan, et al.
Published: (2024)

Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extraction
by: Basem, Mohamed, et al.
Published: (2025)

Towards Better Instruction Following Retrieval Models
by: Zhuang, Yuchen, et al.
Published: (2025)

Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
by: Tian, Fangzheng, et al.
Published: (2026)

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
by: Li, Xiaoxi, et al.
Published: (2024)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
by: Luo, Sichun, et al.
Published: (2025)

Uncertainty Quantification for Retrieval-Augmented Reasoning
by: Soudani, Heydar, et al.
Published: (2025)

Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems
by: Chen, Jiajing, et al.
Published: (2024)

RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation
by: Yang, Eugene, et al.
Published: (2026)

Dual-View Training for Instruction-Following Information Retrieval
by: Zeng, Qingcheng, et al.
Published: (2026)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

GPR: Empowering Generation with Graph-Pretrained Retriever
by: Wang, Xiaochen, et al.
Published: (2025)