Instruction Tuning with Human Curriculum
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Bruce W., Cho, Hyunsoo, Yoo, Kang Min |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model
by: Cho, Hyunsoo
Published: (2024)
by: Cho, Hyunsoo
Published: (2024)
Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023)
by: Cao, Yihan, et al.
Published: (2023)
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
by: Yoo, Haneul, et al.
Published: (2024)
by: Yoo, Haneul, et al.
Published: (2024)
Contrastive Instruction Tuning
by: Yan, Tianyi Lorena, et al.
Published: (2024)
by: Yan, Tianyi Lorena, et al.
Published: (2024)
LongForm: Effective Instruction Tuning with Reverse Instructions
by: Köksal, Abdullatif, et al.
Published: (2023)
by: Köksal, Abdullatif, et al.
Published: (2023)
Generative Representational Instruction Tuning
by: Muennighoff, Niklas, et al.
Published: (2024)
by: Muennighoff, Niklas, et al.
Published: (2024)
Subgraph-level Universal Prompt Tuning
by: Lee, Junhyun, et al.
Published: (2024)
by: Lee, Junhyun, et al.
Published: (2024)
On the Effect of Instruction Tuning Loss on Generalization
by: Chatterjee, Anwoy, et al.
Published: (2025)
by: Chatterjee, Anwoy, et al.
Published: (2025)
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
by: Liu, Liangxin, et al.
Published: (2024)
by: Liu, Liangxin, et al.
Published: (2024)
Inertia in Moral and Value Judgments of Large Language Models
by: Lee, Bruce W., et al.
Published: (2024)
by: Lee, Bruce W., et al.
Published: (2024)
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects
by: Liu, Minqian, et al.
Published: (2023)
by: Liu, Minqian, et al.
Published: (2023)
Aligning Large Language Models by On-Policy Self-Judgment
by: Lee, Sangkyu, et al.
Published: (2024)
by: Lee, Sangkyu, et al.
Published: (2024)
The Best Instruction-Tuning Data are Those That Fit
by: Zhang, Dylan, et al.
Published: (2025)
by: Zhang, Dylan, et al.
Published: (2025)
Parameter Efficient Instruction Tuning: An Empirical Study
by: He, Pengfei
Published: (2024)
by: He, Pengfei
Published: (2024)
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Instruction Tuning for Large Language Models: A Survey
by: Zhang, Shengyu, et al.
Published: (2023)
by: Zhang, Shengyu, et al.
Published: (2023)
Multilingual Instruction Tuning With Just a Pinch of Multilinguality
by: Shaham, Uri, et al.
Published: (2024)
by: Shaham, Uri, et al.
Published: (2024)
SMART: Submodular Data Mixture Strategy for Instruction Tuning
by: Renduchintala, H S V N S Kowndinya, et al.
Published: (2024)
by: Renduchintala, H S V N S Kowndinya, et al.
Published: (2024)
LESS: Selecting Influential Data for Targeted Instruction Tuning
by: Xia, Mengzhou, et al.
Published: (2024)
by: Xia, Mengzhou, et al.
Published: (2024)
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
by: Tang, Zhengyang, et al.
Published: (2024)
by: Tang, Zhengyang, et al.
Published: (2024)
Instruction Fine-Tuning: Does Prompt Loss Matter?
by: Huerta-Enochian, Mathew, et al.
Published: (2024)
by: Huerta-Enochian, Mathew, et al.
Published: (2024)
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
by: Wu, Xuansheng, et al.
Published: (2023)
by: Wu, Xuansheng, et al.
Published: (2023)
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
by: Köksal, Abdullatif, et al.
Published: (2024)
by: Köksal, Abdullatif, et al.
Published: (2024)
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation
by: Hahm, Dongyoon, et al.
Published: (2025)
by: Hahm, Dongyoon, et al.
Published: (2025)
Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
by: Kim, Jeonghoon, et al.
Published: (2025)
by: Kim, Jeonghoon, et al.
Published: (2025)
Instruction-Tuned, but Not More Verifiable Instruction-Following: A Cross-Task Diagnosis for LoRA Adapters
by: Zou, Junyi
Published: (2026)
by: Zou, Junyi
Published: (2026)
Federated Data-Efficient Instruction Tuning for Large Language Models
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections
by: Shin, Haebin, et al.
Published: (2025)
by: Shin, Haebin, et al.
Published: (2025)
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
by: Xiao, Yuxin, et al.
Published: (2024)
by: Xiao, Yuxin, et al.
Published: (2024)
Improved Baselines with Visual Instruction Tuning
by: Liu, Haotian, et al.
Published: (2023)
by: Liu, Haotian, et al.
Published: (2023)
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
by: Yang, Nakyeong, et al.
Published: (2023)
by: Yang, Nakyeong, et al.
Published: (2023)
Uncertainty-Aware Gradient Signal-to-Noise Data Selection for Instruction Tuning
by: Yuan, Zhihang, et al.
Published: (2026)
by: Yuan, Zhihang, et al.
Published: (2026)
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
by: Zhang, Yi-Kai, et al.
Published: (2025)
by: Zhang, Yi-Kai, et al.
Published: (2025)
Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models
by: Dima, George-Andrei, et al.
Published: (2025)
by: Dima, George-Andrei, et al.
Published: (2025)
Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
by: Agarwal, Ishika, et al.
Published: (2025)
by: Agarwal, Ishika, et al.
Published: (2025)
M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
by: Wang, Taowen, et al.
Published: (2024)
by: Wang, Taowen, et al.
Published: (2024)
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
by: Hui, Tingfeng, et al.
Published: (2024)
by: Hui, Tingfeng, et al.
Published: (2024)
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
by: Zhang, Jipeng, et al.
Published: (2024)
by: Zhang, Jipeng, et al.
Published: (2024)
Unlocking Public Catalogues: Instruction-Tuning LLMs for ICD Coding of German Tumor Diagnoses
by: Lenz, Stefan, et al.
Published: (2025)
by: Lenz, Stefan, et al.
Published: (2025)
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
by: He, Bingxiang, et al.
Published: (2024)
by: He, Bingxiang, et al.
Published: (2024)
Similar Items
-
Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model
by: Cho, Hyunsoo
Published: (2024) -
Instruction Mining: Instruction Data Selection for Tuning Large Language Models
by: Cao, Yihan, et al.
Published: (2023) -
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs
by: Yoo, Haneul, et al.
Published: (2024) -
Contrastive Instruction Tuning
by: Yan, Tianyi Lorena, et al.
Published: (2024) -
LongForm: Effective Instruction Tuning with Reverse Instructions
by: Köksal, Abdullatif, et al.
Published: (2023)