Cover Image

D$^3$: Dynamic Directional Graph-Constrained Data Scheduling for LLM Training

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Yuanjian, Hao, Jianing, Zhang, Guang, Li, Zhong
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Data Mixing from the Perspective of Large Language Models
by: Xu, Yuanjian, et al.
Published: (2026)

Towards Efficient LLMs Annealing with Principled Sample Selection
by: Xu, Yuanjian, et al.
Published: (2026)

Data-Constrained Synthesis of Training Data for De-Identification
by: Vakili, Thomas, et al.
Published: (2025)

Unifying Structured Data as Graph for Data-to-Text Pre-Training
by: Li, Shujie, et al.
Published: (2024)

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
by: Guan, Zhong, et al.
Published: (2025)

Improving Autoregressive Training with Dynamic Oracles
by: Yang, Jianing, et al.
Published: (2024)

LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems
by: Li, Yufei, et al.
Published: (2025)

Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
by: Xu, Yao, et al.
Published: (2024)

Multi-dimensional Data Analysis and Applications Basing on LLM Agents and Knowledge Graph Interactions
by: Wang, Xi, et al.
Published: (2025)

From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors
by: Zhou, Yitian, et al.
Published: (2026)

Beyond Public Access in LLM Pre-Training Data
by: Rosenblat, Sruly, et al.
Published: (2025)

DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization
by: Yang, Jianing, et al.
Published: (2026)

Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling
by: Jiang, Shuyang, et al.
Published: (2025)

Effectively Steer LLM To Follow Preference via Building Confident Directions
by: Song, Bingqing, et al.
Published: (2025)

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
by: Jiang, Eric Hanchen, et al.
Published: (2025)

SlimPajama-DC: Understanding Data Combinations for LLM Training
by: Shen, Zhiqiang, et al.
Published: (2023)

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning
by: Li, Yutong, et al.
Published: (2025)

Dynamic Masking Rate Schedules for MLM Pretraining
by: Ankner, Zachary, et al.
Published: (2023)

HOMURA: Taming the Sand-Glass for Time-Constrained LLM Translation via Reinforcement Learning
by: Cui, Ziang, et al.
Published: (2026)

Enhancing LLM-Based Data Annotation with Error Decomposition
by: Xu, Zhen, et al.
Published: (2026)

XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference
by: Wang, Shengnan, et al.
Published: (2024)

ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
by: Guo, Wenbin, et al.
Published: (2023)

Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
by: Zhang, Zhou, et al.
Published: (2024)

LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
by: Rahman, Mizanur, et al.
Published: (2025)

ScrapeGraphAI-100k: Dataset for Schema-Constrained LLM Generation
by: Brach, William, et al.
Published: (2026)

Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity
by: Zhang, Xin, et al.
Published: (2024)

A GAN and LLM-Driven Data Augmentation Framework for Dynamic Linguistic Pattern Modeling in Chinese Sarcasm Detection
by: Wang, Wenxian, et al.
Published: (2026)

Muon is Scalable for LLM Training
by: Liu, Jingyuan, et al.
Published: (2025)

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph
by: Zhao, Yibo, et al.
Published: (2024)

Navigating LLM Ethics: Advancements, Challenges, and Future Directions
by: Jiao, Junfeng, et al.
Published: (2024)

LENS: Large Pre-trained Transformer for Exploring Financial Time Series Regularities
by: Xu, Yuanjian, et al.
Published: (2024)

Automated Conversion of Static to Dynamic Scheduler via Natural Language
by: Tang, Paul Mingzheng, et al.
Published: (2024)

Investigating Cost-Efficiency of LLM-Generated Training Data for Conversational Semantic Frame Analysis
by: Matta, Shiho, et al.
Published: (2024)

Scaling Parameter-Constrained Language Models with Quality Data
by: Chang, Ernie, et al.
Published: (2024)

Towards Adaptive, Scalable, and Robust Coordination of LLM Agents: A Dynamic Ad-Hoc Networking Perspective
by: Li, Rui, et al.
Published: (2026)

An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
by: Li, Yihao, et al.
Published: (2024)

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
by: Xiao, Yilin, et al.
Published: (2025)

Copy-as-Decode: Grammar-Constrained Parallel Prefill for LLM Editing
by: Liu, Ziyang
Published: (2026)

KLong: Training LLM Agent for Extremely Long-horizon Tasks
by: Liu, Yue, et al.
Published: (2026)

Training Dynamics of a 1.7B LLaMa Model: A Data-Efficient Approach
by: Li, Miles Q., et al.
Published: (2024)