Copertina

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gao, Chang, Zhang, Wenxuan, Chen, Guizhen, Lam, Wai
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
di: Fu, Yujuan Velvin, et al.
Pubblicazione: (2024)

Contrastive Instruction Tuning
di: Yan, Tianyi Lorena, et al.
Pubblicazione: (2024)

Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
di: Du, Yanrui, et al.
Pubblicazione: (2024)

Data Diversity Matters for Robust Instruction Tuning
di: Bukharin, Alexander, et al.
Pubblicazione: (2023)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
di: Xiao, Yuxin, et al.
Pubblicazione: (2024)

Taming CATS: Controllable Automatic Text Simplification through Instruction Fine-Tuning with Control Tokens
di: Hubarava, Hanna, et al.
Pubblicazione: (2026)

Towards Building the Federated GPT: Federated Instruction Tuning
di: Zhang, Jianyi, et al.
Pubblicazione: (2023)

Unveiling the Generalization Power of Fine-Tuned Large Language Models
di: Yang, Haoran, et al.
Pubblicazione: (2024)

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
di: Li, Haoran, et al.
Pubblicazione: (2024)

A Unified Causal View of Instruction Tuning
di: Chen, Lu, et al.
Pubblicazione: (2024)

Instruction Following without Instruction Tuning
di: Hewitt, John, et al.
Pubblicazione: (2024)

Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models
di: Deng, Naihao, et al.
Pubblicazione: (2025)

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

Controllable Text Generation in the Instruction-Tuning Era
di: Ashok, Dhananjay, et al.
Pubblicazione: (2024)

DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping
di: Chen, Yongrui, et al.
Pubblicazione: (2023)

Towards Efficient Vision-Language Tuning: More Information Density, More Generalizability
di: Hao, Tianxiang, et al.
Pubblicazione: (2023)

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
di: Liu, Yilun, et al.
Pubblicazione: (2023)

Instruction Tuning With Loss Over Instructions
di: Shi, Zhengyan, et al.
Pubblicazione: (2024)

Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
di: Zhang, Zhongjian, et al.
Pubblicazione: (2026)

Large-Scale Data Selection for Instruction Tuning
di: Ivison, Hamish, et al.
Pubblicazione: (2025)

Instruction Tuning for Story Understanding and Generation with Weak Supervision
di: Yuan, Yangshu, et al.
Pubblicazione: (2025)

A Survey on Data Selection for LLM Instruction Tuning
di: Zhang, Bolin, et al.
Pubblicazione: (2024)

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
di: Wu, Yutong, et al.
Pubblicazione: (2024)

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning
di: Bai, Yi, et al.
Pubblicazione: (2026)

How do Large Language Models Handle Multilingualism?
di: Zhao, Yiran, et al.
Pubblicazione: (2024)

Pruning General Large Language Models into Customized Expert Models
di: Zhao, Yirao, et al.
Pubblicazione: (2025)

CRAFT: Extracting and Tuning Cultural Instructions from the Wild
di: Wang, Bin, et al.
Pubblicazione: (2024)

PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
di: Xue, Tianci, et al.
Pubblicazione: (2023)

EVIT: Event-Oriented Instruction Tuning for Event Reasoning
di: Tao, Zhengwei, et al.
Pubblicazione: (2024)

Rethinking Table Instruction Tuning
di: Deng, Naihao, et al.
Pubblicazione: (2025)

Reconstructive Visual Instruction Tuning
di: Wang, Haochen, et al.
Pubblicazione: (2024)

Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning
di: Tan, Qingyu, et al.
Pubblicazione: (2023)

Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
di: Wu, Wei, et al.
Pubblicazione: (2024)

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

RECOST: External Knowledge Guided Data-efficient Instruction Tuning
di: Zhang, Qi, et al.
Pubblicazione: (2024)

IterSelectTune: An Iterative Training Framework for Efficient Instruction-Tuning Data Selection
di: Song, Jielin, et al.
Pubblicazione: (2024)

Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly
di: Gao, Changjiang, et al.
Pubblicazione: (2024)

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
di: Li, Ming, et al.
Pubblicazione: (2024)

Towards Automatic Continual Learning: A Self-Adaptive Framework for Continual Instruction Tuning
di: Lin, Peiyi, et al.
Pubblicazione: (2025)