Saved in:
| Main Authors: | Wang, Shaobo, Chen, Guo, Wang, Ziyue, Tang, Zhengyang, Liu, Qingyang, Ren, Xingzhang, Liu, Dayiheng, Zhang, Linfeng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.28020 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model
by: Tian, Yuxin, et al.
Published: (2024)
by: Tian, Yuxin, et al.
Published: (2024)
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
by: Wang, Shaobo, et al.
Published: (2026)
by: Wang, Shaobo, et al.
Published: (2026)
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
by: Bi, Baolong, et al.
Published: (2025)
by: Bi, Baolong, et al.
Published: (2025)
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
by: Zhou, Yufa, et al.
Published: (2025)
by: Zhou, Yufa, et al.
Published: (2025)
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
DISA: Offline Importance Sampling for Distribution-Matching LLM-RL
by: Wang, Shaobo, et al.
Published: (2026)
by: Wang, Shaobo, et al.
Published: (2026)
Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data?
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
On Predicting the Post-training Potential of Pre-trained LLMs
by: Li, Xiaoyuan, et al.
Published: (2026)
by: Li, Xiaoyuan, et al.
Published: (2026)
MUON+: Towards More Effective Muon via One Additional Normalization Step for LLM Pre-training
by: Zhang, Ruijie, et al.
Published: (2026)
by: Zhang, Ruijie, et al.
Published: (2026)
CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling
by: Tang, Zhengyang, et al.
Published: (2025)
by: Tang, Zhengyang, et al.
Published: (2025)
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training
by: Tang, Shengkun, et al.
Published: (2026)
by: Tang, Shengkun, et al.
Published: (2026)
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection
by: Huang, Ziyue, et al.
Published: (2024)
by: Huang, Ziyue, et al.
Published: (2024)
DataMan: Data Manager for Pre-training Large Language Models
by: Peng, Ru, et al.
Published: (2025)
by: Peng, Ru, et al.
Published: (2025)
Generic Knowledge Boosted Pre-training For Remote Sensing Images
by: Huang, Ziyue, et al.
Published: (2024)
by: Huang, Ziyue, et al.
Published: (2024)
Unlocking Proactivity in Task-Oriented Dialogue
by: Zhang, Hongbin, et al.
Published: (2026)
by: Zhang, Hongbin, et al.
Published: (2026)
VibeContract: The Missing Quality Assurance Piece in Vibe Coding
by: Wang, Song
Published: (2026)
by: Wang, Song
Published: (2026)
Assessing Learning: The Missing Piece in Instruction?
by: Harada, Violet H., et al.
Published: (2006)
by: Harada, Violet H., et al.
Published: (2006)
The Missing Piece: A Case for Pre-Training in 3D Medical Object Detection
by: Eckstein, Katharina, et al.
Published: (2025)
by: Eckstein, Katharina, et al.
Published: (2025)
LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing
by: Zhang, Ruijie, et al.
Published: (2025)
by: Zhang, Ruijie, et al.
Published: (2025)
Bridging Visual Representation and Reinforcement Learning from Verifiable Rewards in Large Vision-Language Models
by: Han, Yuhang, et al.
Published: (2026)
by: Han, Yuhang, et al.
Published: (2026)
TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training
by: Zhang, Ruijie, et al.
Published: (2026)
by: Zhang, Ruijie, et al.
Published: (2026)
Unlock Anionic Behavior of Calcium Through Pressure Engineering
by: Lv, Yang, et al.
Published: (2025)
by: Lv, Yang, et al.
Published: (2025)
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
by: Fan, Chenyou, et al.
Published: (2024)
by: Fan, Chenyou, et al.
Published: (2024)
Deep Learning Unlocks Behavioral Prediction and Neurobehavioral Decoding
by: Tianzhe Han, et al.
Published: (2026)
by: Tianzhe Han, et al.
Published: (2026)
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks
by: Liu, Zhongxin, et al.
Published: (2024)
by: Liu, Zhongxin, et al.
Published: (2024)
Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction
by: Liu, Junkai, et al.
Published: (2024)
by: Liu, Junkai, et al.
Published: (2024)
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt
by: Cai, Deng, et al.
Published: (2024)
by: Cai, Deng, et al.
Published: (2024)
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
by: Liu, Ziyue, et al.
Published: (2025)
by: Liu, Ziyue, et al.
Published: (2025)
Disentangling the Prosody and Semantic Information with Pre-trained Model for In-Context Learning based Zero-Shot Voice Conversion
by: Chen, Zhengyang, et al.
Published: (2024)
by: Chen, Zhengyang, et al.
Published: (2024)
GLID: Pre-training a Generalist Encoder-Decoder Vision Model
by: Liu, Jihao, et al.
Published: (2024)
by: Liu, Jihao, et al.
Published: (2024)
SpeCa: Accelerating Diffusion Transformers with Speculative Feature Caching
by: Liu, Jiacheng, et al.
Published: (2025)
by: Liu, Jiacheng, et al.
Published: (2025)
Task-Oriented Pre-Training for Drivable Area Detection
by: Ma, Fulong, et al.
Published: (2024)
by: Ma, Fulong, et al.
Published: (2024)
Large EEG-U-Transformer for Time-Step Level Detection Without Pre-Training
by: Wu, Kerui, et al.
Published: (2025)
by: Wu, Kerui, et al.
Published: (2025)
Missing Data Imputation by Reducing Mutual Information with Rectified Flows
by: Yu, Jiahao, et al.
Published: (2025)
by: Yu, Jiahao, et al.
Published: (2025)
Generating Speakers by Prompting Listener Impressions for Pre-trained Multi-Speaker Text-to-Speech Systems
by: Chen, Zhengyang, et al.
Published: (2024)
by: Chen, Zhengyang, et al.
Published: (2024)
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training
by: Lei, Xingliang, et al.
Published: (2024)
by: Lei, Xingliang, et al.
Published: (2024)
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
by: Zhao, Zhe, et al.
Published: (2024)
by: Zhao, Zhe, et al.
Published: (2024)
Minotaur: A SIMD-Oriented Synthesizing Superoptimizer
by: Liu, Zhengyang, et al.
Published: (2023)
by: Liu, Zhengyang, et al.
Published: (2023)
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
by: Wang, Jinping, et al.
Published: (2025)
by: Wang, Jinping, et al.
Published: (2025)
Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making
by: Ruan, Jingqing, et al.
Published: (2023)
by: Ruan, Jingqing, et al.
Published: (2023)
Similar Items
-
An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model
by: Tian, Yuxin, et al.
Published: (2024) -
OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration
by: Wang, Shaobo, et al.
Published: (2026) -
RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
by: Bi, Baolong, et al.
Published: (2025) -
Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
by: Zhou, Yufa, et al.
Published: (2025) -
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
by: Wang, Shaobo, et al.
Published: (2025)