On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

23 June 2023

Nino Vieillard

Olivier Bachem

Papers citing "On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes"

31 / 31 papers shown

Title
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$ - $β$ -Divergence Guanghui Wang Zhiyong Yang Zhilin Wang Shi Wang Qianqian Xu Q. Huang 42 0 0 07 May 2025
Optimizing LLMs for Resource-Constrained Environments: A Survey of Model Compression Techniques Sanjay Surendranath Girija Shashank Kapoor Lakshit Arora Dipen Pradhan Aman Raj Ankit Shetgaonkar 57 0 0 05 May 2025
SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation Quang P.M. Pham Khoi T.N. Nguyen Nhi H. Doan Cuong Pham Kentaro Inui Dezhen Song 65 0 0 01 May 2025
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics Deeksha Varshney Keane Ong Rui Mao Erik Cambria G. Mengaldo 29 0 0 27 Apr 2025
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation Jiabin Fan Guoqing Luo Michael Bowling Lili Mou OffRL 65 0 0 26 Apr 2025
The Rise of Small Language Models in Healthcare: A Comprehensive Survey Muskan Garg Shaina Raza Shebuti Rayana Xingyi Liu Sunghwan Sohn LM&MA AILaw 92 0 0 23 Apr 2025
From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs Jiliang Ni Jiachen Pu Zhongyi Yang Kun Zhou Hui Wang Xiaoliang Xiao Dakui Wang Xin Li Jingfeng Luo Conggang Hu 37 0 0 18 Apr 2025
Better Estimation of the KL Divergence Between Language Models Afra Amini Tim Vieira Ryan Cotterell 51 0 0 14 Apr 2025
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks Nan Zhang Yusen Zhang Prasenjit Mitra Rui Zhang MQ LRM 59 2 0 02 Apr 2025
Training Domain Draft Models for Speculative Decoding: Best Practices and Insights Fenglu Hong Ravi Raju Jonathan Li Bo Li Urmish Thakker Avinash Ravichandran Swayambhoo Jain Changran Hu 43 0 0 10 Mar 2025
Dynamic Low-Rank Sparse Adaptation for Large Language Models Weizhong Huang Yuxin Zhang Xiawu Zheng Yong-Jin Liu Jing Lin Yiwu Yao Rongrong Ji 97 1 0 21 Feb 2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Zican Dong Junyi Li Jinhao Jiang Mingyu Xu Wayne Xin Zhao Bin Wang Xin Wu VLM 213 3 0 20 Feb 2025
EvoP: Robust LLM Inference via Evolutionary Pruning Shangyu Wu Hongchao Du Ying Xiong Shuai Chen Tei-Wei Kuo Nan Guan Chun Jason Xue 34 1 0 19 Feb 2025
Small Models Struggle to Learn from Strong Reasoners Yuetai Li Xiang Yue Zhangchen Xu Fengqing Jiang Luyao Niu Bill Yuchen Lin Bhaskar Ramasubramanian Radha Poovendran LRM 46 12 0 17 Feb 2025
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Makoto Shing Kou Misaki Han Bao Sho Yokoi Takuya Akiba VLM 57 1 0 28 Jan 2025
Self-Generated Critiques Boost Reward Modeling for Language Models Yue Yu Zhengxing Chen Aston Zhang L Tan Chenguang Zhu ... Suchin Gururangan Chao-Yue Zhang Melanie Kambadur Dhruv Mahajan Rui Hou LRM ALM 96 16 0 25 Nov 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 44 2 0 28 Oct 2024
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 81 5 0 28 Oct 2024
MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu Hao Zhou Fandong Meng Jie Zhou Minlie Huang 70 5 0 22 Oct 2024
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Wenyuan Xu Rujun Han Z. Wang L. Le Dhruv Madeka Lei Li Luu Anh Tuan Rishabh Agarwal Chen-Yu Lee Tomas Pfister 80 8 0 15 Oct 2024
Self-Data Distillation for Recovering Quality in Pruned Large Language Models Vithursan Thangarasa Ganesh Venkatesh Mike Lasby Nish Sinnadurai Sean Lie SyDa 38 1 0 13 Oct 2024
Distillation of Discrete Diffusion through Dimensional Correlations Satoshi Hayakawa Yuhta Takida Masaaki Imaizumi Hiromi Wakaki Yuki Mitsufuji DiffM 61 0 0 11 Oct 2024
Efficient Inference for Large Language Model-based Generative Recommendation Xinyu Lin Chaoqun Yang Wenjie Wang Yongqi Li Cunxiao Du Fuli Feng See-Kiong Ng Tat-Seng Chua 67 4 0 07 Oct 2024
Compact Language Models via Pruning and Knowledge Distillation Saurav Muralidharan Sharath Turuvekere Sreenivas Raviraj Joshi Marcin Chochowski M. Patwary M. Shoeybi Bryan Catanzaro Jan Kautz Pavlo Molchanov SyDa MQ 42 37 0 19 Jul 2024
Don't Throw Away Data: Better Sequence Knowledge Distillation Jun Wang Eleftheria Briakou Hamid Dadkhahi Rishabh Agarwal Colin Cherry Trevor Cohn 50 5 0 15 Jul 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models Avi Singh John D. Co-Reyes Rishabh Agarwal Ankesh Anand Piyush Patil ... Yamini Bansal Ethan Dyer Behnam Neyshabur Jascha Narain Sohl-Dickstein Noah Fiedel ALM LRM ReLM SyDa 157 144 0 11 Dec 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 220 502 0 03 May 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 319 11,953 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 386 8,495 0 28 Jan 2022
Relating Neural Text Degeneration to Exposure Bias Ting-Rui Chiang Yun-Nung Chen 53 17 0 17 Sep 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 261 4,489 0 23 Jan 2020