Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Sun, Yifan, Liang, Yushan, Zhang, Zhen, Liu, Xin, Teng, Jiaye |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers
par: Gong, Zixuan, et autres
Publié: (2025)
par: Gong, Zixuan, et autres
Publié: (2025)
SVIP: Towards Verifiable Inference of Open-source Large Language Models
par: Sun, Yifan, et autres
Publié: (2024)
par: Sun, Yifan, et autres
Publié: (2024)
Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate
par: Xu, Huangyu, et autres
Publié: (2026)
par: Xu, Huangyu, et autres
Publié: (2026)
Information Theoretic Adversarial Training of Large Language Models
par: Zhang, Yiwei, et autres
Publié: (2026)
par: Zhang, Yiwei, et autres
Publié: (2026)
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
par: Qian, Yushan, et autres
Publié: (2023)
par: Qian, Yushan, et autres
Publié: (2023)
Adaptive Pruning for Large Language Models with Structural Importance Awareness
par: Zheng, Haotian, et autres
Publié: (2024)
par: Zheng, Haotian, et autres
Publié: (2024)
What Makes Looped Transformers Perform Better Than Non-Recursive Ones
par: Gong, Zixuan, et autres
Publié: (2025)
par: Gong, Zixuan, et autres
Publié: (2025)
On Predictability of Reinforcement Learning Dynamics for Large Language Models
par: Cai, Yuchen, et autres
Publié: (2025)
par: Cai, Yuchen, et autres
Publié: (2025)
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning
par: Yang, Yifan, et autres
Publié: (2024)
par: Yang, Yifan, et autres
Publié: (2024)
Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
par: Wu, Jiahao, et autres
Publié: (2026)
par: Wu, Jiahao, et autres
Publié: (2026)
Vision-Language Model Dialog Games for Self-Improvement
par: Konyushkova, Ksenia, et autres
Publié: (2025)
par: Konyushkova, Ksenia, et autres
Publié: (2025)
Self-Improvement in Language Models: The Sharpening Mechanism
par: Huang, Audrey, et autres
Publié: (2024)
par: Huang, Audrey, et autres
Publié: (2024)
Training and Evaluating Language Models with Template-based Data Generation
par: Zhang, Yifan
Publié: (2024)
par: Zhang, Yifan
Publié: (2024)
PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models
par: Chen, Zhisheng, et autres
Publié: (2026)
par: Chen, Zhisheng, et autres
Publié: (2026)
Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges
par: Lu, Haoran, et autres
Publié: (2025)
par: Lu, Haoran, et autres
Publié: (2025)
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
par: Zhang, Zhen, et autres
Publié: (2025)
par: Zhang, Zhen, et autres
Publié: (2025)
Scaling and Transferability of Annealing Strategies in Large Language Model Training
par: Wang, Siqi, et autres
Publié: (2025)
par: Wang, Siqi, et autres
Publié: (2025)
Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models
par: Yang, Zihua, et autres
Publié: (2026)
par: Yang, Zihua, et autres
Publié: (2026)
PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models
par: Xiao, He, et autres
Publié: (2025)
par: Xiao, He, et autres
Publié: (2025)
Guiding Large Language Models to Generate Computer-Parsable Content
par: Wang, Jiaye
Publié: (2024)
par: Wang, Jiaye
Publié: (2024)
NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
par: Liu, Wei, et autres
Publié: (2025)
par: Liu, Wei, et autres
Publié: (2025)
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
par: Zhou, Jiajun, et autres
Publié: (2025)
par: Zhou, Jiajun, et autres
Publié: (2025)
Post Training Quantization of Large Language Models with Microscaling Formats
par: Sharify, Sayeh, et autres
Publié: (2024)
par: Sharify, Sayeh, et autres
Publié: (2024)
Latent Principle Discovery for Language Model Self-Improvement
par: Ramji, Keshav, et autres
Publié: (2025)
par: Ramji, Keshav, et autres
Publié: (2025)
PT$^2$-LLM: Post-Training Ternarization for Large Language Models
par: Yan, Xianglong, et autres
Publié: (2025)
par: Yan, Xianglong, et autres
Publié: (2025)
On the Entropy Dynamics in Reinforcement Fine-Tuning of Large Language Models
par: Wang, Shumin, et autres
Publié: (2026)
par: Wang, Shumin, et autres
Publié: (2026)
TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control
par: Chen, Yuxiang, et autres
Publié: (2025)
par: Chen, Yuxiang, et autres
Publié: (2025)
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach
par: Chen, Xiaobing, et autres
Publié: (2025)
par: Chen, Xiaobing, et autres
Publié: (2025)
Self-Training Elicits Concise Reasoning in Large Language Models
par: Munkhbat, Tergel, et autres
Publié: (2025)
par: Munkhbat, Tergel, et autres
Publié: (2025)
Verified Safe Reinforcement Learning for Neural Network Dynamic Models
par: Wu, Junlin, et autres
Publié: (2024)
par: Wu, Junlin, et autres
Publié: (2024)
Provable Training Data Identification for Large Language Models
par: Liu, Zhenlong, et autres
Publié: (2025)
par: Liu, Zhenlong, et autres
Publié: (2025)
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
par: Bao, Yicheng, et autres
Publié: (2026)
par: Bao, Yicheng, et autres
Publié: (2026)
Self-Trained Verification for Training- and Test-Time Self-Improvement
par: Wu, Chen Henry, et autres
Publié: (2026)
par: Wu, Chen Henry, et autres
Publié: (2026)
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
par: Su, Guangxin, et autres
Publié: (2024)
par: Su, Guangxin, et autres
Publié: (2024)
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
par: Fu, Shi, et autres
Publié: (2025)
par: Fu, Shi, et autres
Publié: (2025)
Test-Time Training on Graphs with Large Language Models (LLMs)
par: Zhang, Jiaxin, et autres
Publié: (2024)
par: Zhang, Jiaxin, et autres
Publié: (2024)
Self-Improvement as Coherence Optimization: A Theoretical Account
par: Qiu, Tianyi, et autres
Publié: (2026)
par: Qiu, Tianyi, et autres
Publié: (2026)
ProofSketch: Efficient Verified Reasoning for Large Language Models
par: Sheshanarayana, Disha, et autres
Publié: (2025)
par: Sheshanarayana, Disha, et autres
Publié: (2025)
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
par: Qiao, Yiran, et autres
Publié: (2024)
par: Qiao, Yiran, et autres
Publié: (2024)
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
par: Yu, Zhouliang, et autres
Publié: (2025)
par: Yu, Zhouliang, et autres
Publié: (2025)
Documents similaires
-
Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers
par: Gong, Zixuan, et autres
Publié: (2025) -
SVIP: Towards Verifiable Inference of Open-source Large Language Models
par: Sun, Yifan, et autres
Publié: (2024) -
Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate
par: Xu, Huangyu, et autres
Publié: (2026) -
Information Theoretic Adversarial Training of Large Language Models
par: Zhang, Yiwei, et autres
Publié: (2026) -
Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements
par: Qian, Yushan, et autres
Publié: (2023)