Saved in:
| Main Authors: | Yang, Pu, Feng, Yunzhen, Chen, Ziyuan, Wu, Yuhang, Li, Zhuoyuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.18962 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
by: Feng, Yunzhen, et al.
Published: (2024)
by: Feng, Yunzhen, et al.
Published: (2024)
A Tale of Tails: Model Collapse as a Change of Scaling Laws
by: Dohmatob, Elvis, et al.
Published: (2024)
by: Dohmatob, Elvis, et al.
Published: (2024)
Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data
by: Sun, Zeyi, et al.
Published: (2024)
by: Sun, Zeyi, et al.
Published: (2024)
EXaMCaP: Subset Selection with Entropy Gain Maximization for Probing Capability Gains of Large Chart Understanding Training Sets
by: Liu, Jiapeng, et al.
Published: (2026)
by: Liu, Jiapeng, et al.
Published: (2026)
TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
by: Li, Yuhang, et al.
Published: (2024)
by: Li, Yuhang, et al.
Published: (2024)
Model Collapse Demystified: The Case of Regression
by: Dohmatob, Elvis, et al.
Published: (2024)
by: Dohmatob, Elvis, et al.
Published: (2024)
Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
by: Pham, Cuong, et al.
Published: (2025)
by: Pham, Cuong, et al.
Published: (2025)
Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization
by: Arai, Yamato, et al.
Published: (2025)
by: Arai, Yamato, et al.
Published: (2025)
MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction
by: Li, Shuang, et al.
Published: (2024)
by: Li, Shuang, et al.
Published: (2024)
Strong Model Collapse
by: Dohmatob, Elvis, et al.
Published: (2024)
by: Dohmatob, Elvis, et al.
Published: (2024)
Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order
by: Gupta, Prakhar, et al.
Published: (2025)
by: Gupta, Prakhar, et al.
Published: (2025)
Synthetic Sandbox for Training Machine Learning Engineering Agents
by: Zhou, Yuhang, et al.
Published: (2026)
by: Zhou, Yuhang, et al.
Published: (2026)
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
by: Nardi, Mirko, et al.
Published: (2024)
by: Nardi, Mirko, et al.
Published: (2024)
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
by: Pham, Cuong, et al.
Published: (2025)
by: Pham, Cuong, et al.
Published: (2025)
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
by: Yao, Yunzhen, et al.
Published: (2025)
by: Yao, Yunzhen, et al.
Published: (2025)
Non-Asymptotic Analysis of Efficiency in Conformalized Regression
by: Yao, Yunzhen, et al.
Published: (2025)
by: Yao, Yunzhen, et al.
Published: (2025)
Bootstrapped Model Predictive Control
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Toward a Graph Foundation Model: Pre-Training Transformers With Random Walks
by: Tang, Ziyuan, et al.
Published: (2025)
by: Tang, Ziyuan, et al.
Published: (2025)
PILAF: Optimal Human Preference Sampling for Reward Modeling
by: Feng, Yunzhen, et al.
Published: (2025)
by: Feng, Yunzhen, et al.
Published: (2025)
Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting
by: Feng, Yunzhen, et al.
Published: (2025)
by: Feng, Yunzhen, et al.
Published: (2025)
What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT
by: Feng, Yunzhen, et al.
Published: (2025)
by: Feng, Yunzhen, et al.
Published: (2025)
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
by: Feuer, Benjamin, et al.
Published: (2025)
by: Feuer, Benjamin, et al.
Published: (2025)
A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
by: Chen, Junlan, et al.
Published: (2024)
by: Chen, Junlan, et al.
Published: (2024)
Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
by: Lei, Zhuxin, et al.
Published: (2026)
by: Lei, Zhuxin, et al.
Published: (2026)
CoScale-RL: Efficient Post-Training by Co-Scaling Data and Computation
by: Chen, Yutong, et al.
Published: (2026)
by: Chen, Yutong, et al.
Published: (2026)
Athena: Efficient Block-Wise Post-Training Quantization for Large Language Models Using Second-Order Matrix Derivative Information
by: Wang, Yanshu, et al.
Published: (2024)
by: Wang, Yanshu, et al.
Published: (2024)
Uncertainty-Aware Graph Self-Training with Expectation-Maximization Regularization
by: Wang, Emily, et al.
Published: (2025)
by: Wang, Emily, et al.
Published: (2025)
Synthetic Tabular Data Generation: A Comparative Survey for Modern Techniques
by: Challagundla, Raju, et al.
Published: (2025)
by: Challagundla, Raju, et al.
Published: (2025)
Detecting Training Data of Large Language Models via Expectation Maximization
by: Kim, Gyuwan, et al.
Published: (2024)
by: Kim, Gyuwan, et al.
Published: (2024)
Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies
by: Chung, Mu-Huan Miles, et al.
Published: (2024)
by: Chung, Mu-Huan Miles, et al.
Published: (2024)
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
by: Yang, Yang, et al.
Published: (2024)
by: Yang, Yang, et al.
Published: (2024)
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data
by: Han, Qiao, et al.
Published: (2024)
by: Han, Qiao, et al.
Published: (2024)
Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs
by: Xu, Minghui, et al.
Published: (2026)
by: Xu, Minghui, et al.
Published: (2026)
From Alignment to Advancement: Bootstrapping Audio-Language Alignment with Synthetic Data
by: Kuan, Chun-Yi, et al.
Published: (2025)
by: Kuan, Chun-Yi, et al.
Published: (2025)
Convex Dataset Valuation for Post-Training
by: Zeng, Siqi, et al.
Published: (2026)
by: Zeng, Siqi, et al.
Published: (2026)
From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework
by: Ding, Zihan, et al.
Published: (2026)
by: Ding, Zihan, et al.
Published: (2026)
Unlocking Post-hoc Dataset Inference with Synthetic Data
by: Zhao, Bihe, et al.
Published: (2025)
by: Zhao, Bihe, et al.
Published: (2025)
Connecting Independently Trained Modes via Layer-Wise Connectivity
by: Tian, Yongding, et al.
Published: (2025)
by: Tian, Yongding, et al.
Published: (2025)
Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment
by: Zhang, Yizhuo, et al.
Published: (2025)
by: Zhang, Yizhuo, et al.
Published: (2025)
Multi-Fidelity Hybrid Reinforcement Learning via Information Gain Maximization
by: Sifaou, Houssem, et al.
Published: (2025)
by: Sifaou, Houssem, et al.
Published: (2025)
Similar Items
-
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
by: Feng, Yunzhen, et al.
Published: (2024) -
A Tale of Tails: Model Collapse as a Change of Scaling Laws
by: Dohmatob, Elvis, et al.
Published: (2024) -
Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data
by: Sun, Zeyi, et al.
Published: (2024) -
EXaMCaP: Subset Selection with Entropy Gain Maximization for Probing Capability Gains of Large Chart Understanding Training Sets
by: Liu, Jiapeng, et al.
Published: (2026) -
TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
by: Li, Yuhang, et al.
Published: (2024)