Cover Image

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Taehyeon, Kim, Joonkee, Lee, Gihun, Yun, Se-Young
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Drafter Speculative Decoding with Alignment Feedback
by: Kim, Taehyeon, et al.
Published: (2026)

Guiding Reasoning in Small Language Models with LLM Assistance
by: Kim, Yujin, et al.
Published: (2025)

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
by: Lee, Gihun, et al.
Published: (2024)

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners
by: Koh, Woosung, et al.
Published: (2025)

Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
by: Yi, Euiin, et al.
Published: (2024)

Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels
by: Kim, Taehyeon, et al.
Published: (2024)

Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
by: Ranaldi, Leonardo, et al.
Published: (2024)

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

EXAONE 3.0 7.8B Instruction Tuned Language Model
by: An, Soyoung, et al.
Published: (2024)

Resilience of Large Language Models for Noisy Instructions
by: Wang, Bin, et al.
Published: (2024)

SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction Generation
by: Kim, Jungwoo, et al.
Published: (2025)

Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models
by: Kim, San, et al.
Published: (2026)

Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)

Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
by: Lee, Haeju, et al.
Published: (2024)

Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
by: Alajrami, Ahmed, et al.
Published: (2025)

Block Transformer: Global-to-Local Language Modeling for Fast Inference
by: Ho, Namgyu, et al.
Published: (2024)

Nevermind: Instruction Override and Moderation in Large Language Models
by: Kim, Edward
Published: (2024)

DistiLLM: Towards Streamlined Distillation for Large Language Models
by: Ko, Jongwoo, et al.
Published: (2024)

Building Instruction-Tuning Datasets from Human-Written Instructions with Open-Weight Large Language Models
by: Ma, Youmi, et al.
Published: (2025)

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
by: Peeperkorn, Max, et al.
Published: (2025)

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

Neuro-RIT: Neuron-Guided Instruction Tuning for Robust Retrieval-Augmented Language Model
by: Kim, Jaemin, et al.
Published: (2026)

Synthesizing Instruction-Tuning Datasets with Contrastive Decoding
by: Ichinose, Tatsuya, et al.
Published: (2026)

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

IAPT: Instruction-Aware Prompt Tuning for Large Language Models
by: Zhu, Wei, et al.
Published: (2024)

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

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)

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

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

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

Exploring the Impact of Instruction-Tuning on LLM's Susceptibility to Misinformation
by: Han, Kyubeen, et al.
Published: (2025)

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
by: Ruan, Zhiwen, et al.
Published: (2026)

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)

LLaVA-Docent: Instruction Tuning with Multimodal Large Language Model to Support Art Appreciation Education
by: Lee, Unggi, et al.
Published: (2024)

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

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

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

OctoPack: Instruction Tuning Code Large Language Models
by: Muennighoff, Niklas, et al.
Published: (2023)

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

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