DecIF: Improving Instruction-Following through Meta-Decomposition
Fuente:
arXiv
Guardado en:
| Autores principales: | Hui, Tingfeng, Zhu, Pengyu, Ping, Bowen, Tang, Ling, Dong, Guanting, Zhang, Yaqi, Su, Sen |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Smaller Language Models Are Better Instruction Evolvers
por: Hui, Tingfeng, et al.
Publicado: (2024)
por: Hui, Tingfeng, et al.
Publicado: (2024)
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
por: Hui, Tingfeng, et al.
Publicado: (2024)
por: Hui, Tingfeng, et al.
Publicado: (2024)
STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamics
por: Hui, Tingfeng, et al.
Publicado: (2026)
por: Hui, Tingfeng, et al.
Publicado: (2026)
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task
por: Zhao, Jinxu, et al.
Publicado: (2024)
por: Zhao, Jinxu, et al.
Publicado: (2024)
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2024)
por: Dong, Guanting, et al.
Publicado: (2024)
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
por: Dong, Guanting, et al.
Publicado: (2024)
por: Dong, Guanting, et al.
Publicado: (2024)
LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards
por: Ping, Bowen, et al.
Publicado: (2026)
por: Ping, Bowen, et al.
Publicado: (2026)
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
por: Lou, Renze, et al.
Publicado: (2023)
por: Lou, Renze, et al.
Publicado: (2023)
LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning
por: Ping, Bowen, et al.
Publicado: (2026)
por: Ping, Bowen, et al.
Publicado: (2026)
LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
por: Zhang, Wei, et al.
Publicado: (2026)
por: Zhang, Wei, et al.
Publicado: (2026)
Following Length Constraints in Instructions
por: Yuan, Weizhe, et al.
Publicado: (2024)
por: Yuan, Weizhe, et al.
Publicado: (2024)
Improving Instruction-Following in Language Models through Activation Steering
por: Stolfo, Alessandro, et al.
Publicado: (2024)
por: Stolfo, Alessandro, et al.
Publicado: (2024)
MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training
por: Huang, Hui, et al.
Publicado: (2025)
por: Huang, Hui, et al.
Publicado: (2025)
LIFEBench: Evaluating Length Instruction Following in Large Language Models
por: Zhang, Wei, et al.
Publicado: (2025)
por: Zhang, Wei, et al.
Publicado: (2025)
M3PO: Multimodal-Model-Guided Preference Optimization for Visual Instruction Following
por: Gao, Ruirui, et al.
Publicado: (2025)
por: Gao, Ruirui, et al.
Publicado: (2025)
MedINST: Meta Dataset of Biomedical Instructions
por: Han, Wenhan, et al.
Publicado: (2024)
por: Han, Wenhan, et al.
Publicado: (2024)
CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
por: Liu, Yilun, et al.
Publicado: (2023)
por: Liu, Yilun, et al.
Publicado: (2023)
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
por: Lee, JoonHo, et al.
Publicado: (2024)
por: Lee, JoonHo, et al.
Publicado: (2024)
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
por: Wen, Bosi, et al.
Publicado: (2026)
por: Wen, Bosi, et al.
Publicado: (2026)
Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration
por: Tang, Yinghao, et al.
Publicado: (2026)
por: Tang, Yinghao, et al.
Publicado: (2026)
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
por: Zhang, Zhicheng, et al.
Publicado: (2025)
por: Zhang, Zhicheng, et al.
Publicado: (2025)
Instruction Following without Instruction Tuning
por: Hewitt, John, et al.
Publicado: (2024)
por: Hewitt, John, et al.
Publicado: (2024)
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
por: Cheng, Jiale, et al.
Publicado: (2024)
por: Cheng, Jiale, et al.
Publicado: (2024)
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
por: Li, Chengpeng, et al.
Publicado: (2024)
por: Li, Chengpeng, et al.
Publicado: (2024)
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following
por: Zhang, Kaiyan, et al.
Publicado: (2024)
por: Zhang, Kaiyan, et al.
Publicado: (2024)
MDCure: A Scalable Pipeline for Multi-Document Instruction-Following
por: Liu, Gabrielle Kaili-May, et al.
Publicado: (2024)
por: Liu, Gabrielle Kaili-May, et al.
Publicado: (2024)
FollowTable: A Benchmark for Instruction-Following Table Retrieval
por: Jin, Rihui, et al.
Publicado: (2026)
por: Jin, Rihui, et al.
Publicado: (2026)
DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs
por: Huang, Minghui
Publicado: (2025)
por: Huang, Minghui
Publicado: (2025)
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
por: Zhang, Zhihan, et al.
Publicado: (2025)
por: Zhang, Zhihan, et al.
Publicado: (2025)
GraphWiz: An Instruction-Following Language Model for Graph Problems
por: Chen, Nuo, et al.
Publicado: (2024)
por: Chen, Nuo, et al.
Publicado: (2024)
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
por: Fu, Dayuan, et al.
Publicado: (2024)
por: Fu, Dayuan, et al.
Publicado: (2024)
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
por: Wen, Bosi, et al.
Publicado: (2025)
por: Wen, Bosi, et al.
Publicado: (2025)
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models
por: Sun, Haoran, et al.
Publicado: (2024)
por: Sun, Haoran, et al.
Publicado: (2024)
IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
por: Guo, Xu, et al.
Publicado: (2025)
por: Guo, Xu, et al.
Publicado: (2025)
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
por: Zhang, Mozhi, et al.
Publicado: (2024)
por: Zhang, Mozhi, et al.
Publicado: (2024)
Hierarchical Alignment: Enforcing Hierarchical Instruction-Following in LLMs through Logical Consistency
por: Yang, Shu, et al.
Publicado: (2026)
por: Yang, Shu, et al.
Publicado: (2026)
TAG-INSTRUCT: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
por: Zhu, He, et al.
Publicado: (2025)
por: Zhu, He, et al.
Publicado: (2025)
In-Context Examples Matter: Improving Emotion Recognition in Conversation with Instruction Tuning
por: Ma, Hui, et al.
Publicado: (2025)
por: Ma, Hui, et al.
Publicado: (2025)
Generalizing Verifiable Instruction Following
por: Pyatkin, Valentina, et al.
Publicado: (2025)
por: Pyatkin, Valentina, et al.
Publicado: (2025)
Revisiting the Reliability of Language Models in Instruction-Following
por: Dong, Jianshuo, et al.
Publicado: (2025)
por: Dong, Jianshuo, et al.
Publicado: (2025)
Ejemplares similares
-
Smaller Language Models Are Better Instruction Evolvers
por: Hui, Tingfeng, et al.
Publicado: (2024) -
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
por: Hui, Tingfeng, et al.
Publicado: (2024) -
STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamics
por: Hui, Tingfeng, et al.
Publicado: (2026) -
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task
por: Zhao, Jinxu, et al.
Publicado: (2024) -
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
por: Dong, Guanting, et al.
Publicado: (2024)