Cover Image

IAPT: Instruction-Aware Prompt Tuning for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Wei, Tian, Aaron Xuxiang, Yin, Congrui, Ni, Yuan, Wang, Xiaoling, Xie, Guotong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
by: Liu, Zequan, et al.
Published: (2025)

Text2MDT: Extracting Medical Decision Trees from Medical Texts
by: Zhu, Wei, et al.
Published: (2024)

GraphGPT: Graph Instruction Tuning for Large Language Models
by: Tang, Jiabin, et al.
Published: (2023)

Neuron-Aware Data Selection In Instruction Tuning For Large Language Models
by: Chen, Xin, et al.
Published: (2026)

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)

Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
by: Xie, Tingyu, et al.
Published: (2024)

Phased Instruction Fine-Tuning for Large Language Models
by: Pang, Wei, et al.
Published: (2024)

Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs
by: Le, Chenqian, et al.
Published: (2025)

Investigating Instruction Tuning Large Language Models on Graphs
by: Zhu, Kerui, et al.
Published: (2024)

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
by: Hayati, Shirley Anugrah, et al.
Published: (2024)

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
by: Zhu, Yutao, et al.
Published: (2024)

UltraFeedback: Boosting Language Models with Scaled AI Feedback
by: Cui, Ganqu, et al.
Published: (2023)

FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models
by: Wu, Jiaqi, et al.
Published: (2024)

InstructCoder: Instruction Tuning Large Language Models for Code Editing
by: Li, Kaixin, et al.
Published: (2023)

Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)

Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models
by: Wang, Yulong, et al.
Published: (2024)

Unified Defense for Large Language Models against Jailbreak and Fine-Tuning Attacks in Education
by: Yi, Xin, et al.
Published: (2025)

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
by: Zhong, Qihuang, et al.
Published: (2024)

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions
by: Rao, Jun, et al.
Published: (2024)

Importance-Aware Data Selection for Efficient LLM Instruction Tuning
by: Jiang, Tingyu, et al.
Published: (2025)

Overview of the PromptCBLUE Shared Task in CHIP2023
by: Zhu, Wei, et al.
Published: (2023)

PaperHelper: Knowledge-Based LLM QA Paper Reading Assistant
by: Yin, Congrui, et al.
Published: (2025)

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
by: Wang, Rui, et al.
Published: (2023)

Dual Instruction Tuning with Large Language Models for Mathematical Reasoning
by: Zhou, Yongwei, et al.
Published: (2024)

Dynamics of Instruction Fine-Tuning for Chinese Large Language Models
by: Song, Chiyu, et al.
Published: (2023)

NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
by: Yi, Xin, et al.
Published: (2024)

Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
by: Li, Wenjie, et al.
Published: (2024)

Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023)

PAT: Pruning-Aware Tuning for Large Language Models
by: Liu, Yijiang, et al.
Published: (2024)

Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression
by: Hou, Haowen, et al.
Published: (2024)

Instruction Tuning for Large Language Models: A Survey
by: Zhang, Shengyu, et al.
Published: (2023)

Hyperparameter Optimization for Large Language Model Instruction-Tuning
by: Tribes, Christophe, et al.
Published: (2023)

BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks
by: Huang, Tianyuan, et al.
Published: (2025)

MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
by: Tu, Jianhong, et al.
Published: (2024)

LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding
by: Luo, Chuwei, et al.
Published: (2024)

StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
by: Kwon, Minchan, et al.
Published: (2024)

Mixture-of-Instructions: Aligning Large Language Models via Mixture Prompting
by: Xu, Bowen, et al.
Published: (2024)

Instruction-Following Pruning for Large Language Models
by: Hou, Bairu, et al.
Published: (2025)

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
by: Kim, Taehyeon, et al.
Published: (2023)

GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt
by: Li, Zhenhe, et al.
Published: (2025)