KL for a KL: On-Policy Distillation with Control Variate Baseline
Fuente:
arXiv
Saved in:
| Main Authors: | Oh, Minjae, Song, Sangjun, Choi, Gyubin, Choi, Yunho, Jo, Yohan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
by: Choi, Yunho, et al.
Published: (2026)
by: Choi, Yunho, et al.
Published: (2026)
Future Policy Approximation for Offline Reinforcement Learning Improves Mathematical Reasoning
by: Oh, Minjae, et al.
Published: (2025)
by: Oh, Minjae, et al.
Published: (2025)
Context-Robust Knowledge Editing for Language Models
by: Park, Haewon, et al.
Published: (2025)
by: Park, Haewon, et al.
Published: (2025)
On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
by: Zhao, Anhao, et al.
Published: (2026)
by: Zhao, Anhao, et al.
Published: (2026)
KL Penalty Control via Perturbation for Direct Preference Optimization
by: Lee, Sangkyu, et al.
Published: (2025)
by: Lee, Sangkyu, et al.
Published: (2025)
Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models
by: Kong, Injin, et al.
Published: (2026)
by: Kong, Injin, et al.
Published: (2026)
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
by: Lee, Yooseop, et al.
Published: (2025)
by: Lee, Yooseop, et al.
Published: (2025)
How Prompts Move Language Model Behavior: Frames, Salience, and Construal as Semantic Control
by: Kim, Dongseok, et al.
Published: (2025)
by: Kim, Dongseok, et al.
Published: (2025)
Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
by: Huang, Audrey, et al.
Published: (2024)
by: Huang, Audrey, et al.
Published: (2024)
ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding
by: Song, Sangjun, et al.
Published: (2025)
by: Song, Sangjun, et al.
Published: (2025)
HINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents
by: Yeo, Woongyeng, et al.
Published: (2026)
by: Yeo, Woongyeng, et al.
Published: (2026)
Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers
by: Choi, Sehyun
Published: (2024)
by: Choi, Sehyun
Published: (2024)
Fact-Consistency Evaluation of Text-to-SQL Generation for Business Intelligence Using Exaone 3.5
by: Choi, Jeho
Published: (2025)
by: Choi, Jeho
Published: (2025)
AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)
by: Zhang, Songming, et al.
Published: (2025)
ORPO-Distill: Mixed-Policy Preference Optimization for Cross-Architecture LLM Distillation
by: Singh, Aasheesh, et al.
Published: (2025)
by: Singh, Aasheesh, et al.
Published: (2025)
COPAL: Continual Pruning in Large Language Generative Models
by: Malla, Srikanth, et al.
Published: (2024)
by: Malla, Srikanth, et al.
Published: (2024)
SAGE-32B: Agentic Reasoning via Iterative Distillation
by: Jha, Basab, et al.
Published: (2026)
by: Jha, Basab, et al.
Published: (2026)
Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study
by: Lim, Junghwan, et al.
Published: (2025)
by: Lim, Junghwan, et al.
Published: (2025)
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
by: Choi, Euntae, et al.
Published: (2025)
by: Choi, Euntae, et al.
Published: (2025)
Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free
by: Choi, Euntae, et al.
Published: (2025)
by: Choi, Euntae, et al.
Published: (2025)
Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments
by: Han, Seungjun, et al.
Published: (2024)
by: Han, Seungjun, et al.
Published: (2024)
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
by: Jung, Jaehun, et al.
Published: (2023)
by: Jung, Jaehun, et al.
Published: (2023)
Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
by: Fu, Yuqian, et al.
Published: (2026)
by: Fu, Yuqian, et al.
Published: (2026)
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation
by: Yang, Wenkai, et al.
Published: (2026)
by: Yang, Wenkai, et al.
Published: (2026)
DP-OPD: Differentially Private On-Policy Distillation for Language Models
by: Khadem, Fatemeh, et al.
Published: (2026)
by: Khadem, Fatemeh, et al.
Published: (2026)
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation
by: Jin, Kyohoon, et al.
Published: (2024)
by: Jin, Kyohoon, et al.
Published: (2024)
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
by: Choi, Jaepill, et al.
Published: (2024)
by: Choi, Jaepill, et al.
Published: (2024)
Distilling to Hybrid Attention Models via KL-Guided Layer Selection
by: Li, Yanhong, et al.
Published: (2025)
by: Li, Yanhong, et al.
Published: (2025)
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
by: Li, Yaxuan, et al.
Published: (2026)
by: Li, Yaxuan, et al.
Published: (2026)
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
by: Agarwal, Rishabh, et al.
Published: (2023)
by: Agarwal, Rishabh, et al.
Published: (2023)
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
by: Chae, Kyubyung, et al.
Published: (2024)
by: Chae, Kyubyung, et al.
Published: (2024)
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
by: Lee, Sangjun, et al.
Published: (2025)
by: Lee, Sangjun, et al.
Published: (2025)
Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient
by: Li, Changming, et al.
Published: (2026)
by: Li, Changming, et al.
Published: (2026)
MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate
by: Wang, Jianze, et al.
Published: (2026)
by: Wang, Jianze, et al.
Published: (2026)
SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting
by: Zheng, Binbin, et al.
Published: (2026)
by: Zheng, Binbin, et al.
Published: (2026)
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
by: Yoo, YoungJoon, et al.
Published: (2023)
by: Yoo, YoungJoon, et al.
Published: (2023)
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
by: Yang, Zhuolin, et al.
Published: (2026)
by: Yang, Zhuolin, et al.
Published: (2026)
Examining Gender and Power on Wikipedia Through Face and Politeness
by: Soubki, Adil, et al.
Published: (2024)
by: Soubki, Adil, et al.
Published: (2024)
Exploring Design Choices for Building Language-Specific LLMs
by: Tejaswi, Atula, et al.
Published: (2024)
by: Tejaswi, Atula, et al.
Published: (2024)
Similar Items
-
Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States
by: Choi, Yunho, et al.
Published: (2026) -
Future Policy Approximation for Offline Reinforcement Learning Improves Mathematical Reasoning
by: Oh, Minjae, et al.
Published: (2025) -
Context-Robust Knowledge Editing for Language Models
by: Park, Haewon, et al.
Published: (2025) -
On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
by: Zhang, Yifan, et al.
Published: (2025) -
Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
by: Zhao, Anhao, et al.
Published: (2026)