Saved in:
| Main Authors: | Chen, Yongrui, Jiang, Haiyun, Huang, Xinting, Shi, Shuming, Qi, Guilin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2309.05447 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Instruct for Visual Instruction Tuning
by: Zhou, Zhihan, et al.
Published: (2025)
by: Zhou, Zhihan, et al.
Published: (2025)
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction
by: Fu, Tingchen, et al.
Published: (2024)
by: Fu, Tingchen, et al.
Published: (2024)
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
by: Masry, Ahmed, et al.
Published: (2024)
by: Masry, Ahmed, et al.
Published: (2024)
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
by: Wu, Yutong, et al.
Published: (2024)
by: Wu, Yutong, et al.
Published: (2024)
DEE: Dual-stage Explainable Evaluation Method for Text Generation
by: Zhang, Shenyu, et al.
Published: (2024)
by: Zhang, Shenyu, et al.
Published: (2024)
ArgInstruct: Specialized Instruction Fine-Tuning for Computational Argumentation
by: Stahl, Maja, et al.
Published: (2025)
by: Stahl, Maja, et al.
Published: (2025)
InstructCoder: Instruction Tuning Large Language Models for Code Editing
by: Li, Kaixin, et al.
Published: (2023)
by: Li, Kaixin, et al.
Published: (2023)
MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
DS$^2$-Instruct: Domain-Specific Data Synthesis for Large Language Models Instruction Tuning
by: Xu, Ruiyao, et al.
Published: (2026)
by: Xu, Ruiyao, et al.
Published: (2026)
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining
by: Wang, Boxin, et al.
Published: (2023)
by: Wang, Boxin, et al.
Published: (2023)
LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish
by: Philippy, Fred, et al.
Published: (2025)
by: Philippy, Fred, et al.
Published: (2025)
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
by: Kaur, Simran, et al.
Published: (2024)
by: Kaur, Simran, et al.
Published: (2024)
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG
by: Chen, Naitong, et al.
Published: (2024)
by: Chen, Naitong, et al.
Published: (2024)
OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs
by: Ahmad, Wasi Uddin, et al.
Published: (2025)
by: Ahmad, Wasi Uddin, et al.
Published: (2025)
UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers
by: Min, Dehai, et al.
Published: (2024)
by: Min, Dehai, et al.
Published: (2024)
IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
by: Guo, Xu, et al.
Published: (2025)
by: Guo, Xu, et al.
Published: (2025)
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation
by: Li, Yu, et al.
Published: (2024)
by: Li, Yu, et al.
Published: (2024)
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
by: Wang, Jianing, et al.
Published: (2024)
by: Wang, Jianing, et al.
Published: (2024)
Instruction Tuning With Loss Over Instructions
by: Shi, Zhengyan, et al.
Published: (2024)
by: Shi, Zhengyan, et al.
Published: (2024)
TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild
by: Li, Huayang, et al.
Published: (2023)
by: Li, Huayang, et al.
Published: (2023)
InstructTTSEval: Benchmarking Complex Natural-Language Instruction Following in Text-to-Speech Systems
by: Huang, Kexin, et al.
Published: (2025)
by: Huang, Kexin, et al.
Published: (2025)
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving
by: Gao, Chang, et al.
Published: (2023)
by: Gao, Chang, et al.
Published: (2023)
UPDESH: Synthesizing Grounded Instruction Tuning Data for 13 Indic Languages
by: Chitale, Pranjal A., et al.
Published: (2025)
by: Chitale, Pranjal A., et al.
Published: (2025)
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
by: Weber, Alexander Arno, et al.
Published: (2024)
by: Weber, Alexander Arno, et al.
Published: (2024)
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)
by: Tran, Hieu, et al.
Published: (2023)
StressEval: Failure-Driven Dynamic Benchmarking for Knowledge-Intensive Reasoning in Large Language Models
by: Chen, Yongrui, et al.
Published: (2026)
by: Chen, Yongrui, et al.
Published: (2026)
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation
by: Zhou, Shijie, et al.
Published: (2024)
by: Zhou, Shijie, et al.
Published: (2024)
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
by: Gao, Chang, et al.
Published: (2023)
by: Gao, Chang, et al.
Published: (2023)
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
by: Jiang, Yuxin, et al.
Published: (2025)
by: Jiang, Yuxin, et al.
Published: (2025)
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
by: Chen, Yongrui, et al.
Published: (2025)
by: Chen, Yongrui, et al.
Published: (2025)
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
by: Chen, Ruibo, et al.
Published: (2024)
by: Chen, Ruibo, et al.
Published: (2024)
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
by: Min, Dehai, et al.
Published: (2024)
by: Min, Dehai, et al.
Published: (2024)
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
by: Liu, Wanlong, et al.
Published: (2024)
by: Liu, Wanlong, et al.
Published: (2024)
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
by: Du, Yanrui, et al.
Published: (2024)
by: Du, Yanrui, et al.
Published: (2024)
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
by: Cui, Wanyun, et al.
Published: (2023)
by: Cui, Wanyun, et al.
Published: (2023)
Knowledge Fusion of Large Language Models
by: Wan, Fanqi, et al.
Published: (2024)
by: Wan, Fanqi, et al.
Published: (2024)
Knowledge Verification to Nip Hallucination in the Bud
by: Wan, Fanqi, et al.
Published: (2024)
by: Wan, Fanqi, et al.
Published: (2024)
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning
by: Yang, Sen, et al.
Published: (2024)
by: Yang, Sen, et al.
Published: (2024)
Inferflow: an Efficient and Highly Configurable Inference Engine for Large Language Models
by: Shi, Shuming, et al.
Published: (2024)
by: Shi, Shuming, et al.
Published: (2024)
Similar Items
-
Learning to Instruct for Visual Instruction Tuning
by: Zhou, Zhihan, et al.
Published: (2025) -
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction
by: Fu, Tingchen, et al.
Published: (2024) -
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
by: Masry, Ahmed, et al.
Published: (2024) -
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
by: Wu, Yutong, et al.
Published: (2024) -
DEE: Dual-stage Explainable Evaluation Method for Text Generation
by: Zhang, Shenyu, et al.
Published: (2024)