MiniLLM: Knowledge Distillation of Large Language Models

14 June 2023

Papers citing "MiniLLM: Knowledge Distillation of Large Language Models"

22 / 22 papers shown

Title
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 48 0 0 10 Mar 2025
Progressive Binarization with Semi-Structured Pruning for LLMs Xinyu Yan Tianao Zhang Zhiteng Li Yulun Zhang MQ 54 0 0 03 Feb 2025
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time Justin Deschenaux Çağlar Gülçehre 47 2 0 28 Oct 2024
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling Wenyuan Xu Rujun Han Zhenting Wang L. Le Dhruv Madeka Lei Li Luu Anh Tuan Rishabh Agarwal Chen-Yu Lee Tomas Pfister 80 8 0 15 Oct 2024
ARB-LLM: Alternating Refined Binarizations for Large Language Models Zhiteng Li Xinyu Yan Tianao Zhang Haotong Qin Dong Xie Jiang Tian Zhongchao Shi Linghe Kong Yulun Zhang Xiaokang Yang MQ 37 2 0 04 Oct 2024
Parameter Efficient Diverse Paraphrase Generation Using Sequence-Level Knowledge Distillation Lasal Jayawardena Prasan Yapa BDL 38 1 0 19 Apr 2024
Efficiently Distilling LLMs for Edge Applications Achintya Kundu Fabian Lim Aaron Chew L. Wynter Penny Chong Rhui Dih Lee 44 6 0 01 Apr 2024
The Unreasonable Ineffectiveness of the Deeper Layers Andrey Gromov Kushal Tirumala Hassan Shapourian Paolo Glorioso Daniel A. Roberts 52 81 0 26 Mar 2024
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA Zhuowan Li Bhavan A. Jasani Peng Tang Shabnam Ghadar LRM 39 8 0 25 Mar 2024
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression Xin Wang Yu Zheng Zhongwei Wan Mi Zhang MQ 57 44 0 12 Mar 2024
Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes Lucio Dery Steven Kolawole Jean-Francois Kagey Virginia Smith Graham Neubig Ameet Talwalkar 44 28 0 08 Feb 2024
Knowledge Fusion of Large Language Models Fanqi Wan Xinting Huang Deng Cai Xiaojun Quan Wei Bi Shuming Shi MoMe 40 63 0 19 Jan 2024
Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models Arnav Chavan Nahush Lele Deepak Gupta 29 1 0 12 Dec 2023
Online Speculative Decoding Xiaoxuan Liu Lanxiang Hu Peter Bailis Alvin Cheung Zhijie Deng Ion Stoica Hao Zhang 29 51 0 11 Oct 2023
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 45 83 0 19 May 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions Minghao Wu Abdul Waheed Chiyu Zhang Muhammad Abdul-Mageed Alham Fikri Aji ALM 135 119 0 27 Apr 2023
Instruction Tuning with GPT-4 Baolin Peng Chunyuan Li Pengcheng He Michel Galley Jianfeng Gao SyDa ALM LM&MA 162 579 0 06 Apr 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 354 12,003 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 215 1,661 0 15 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 0 04 May 2020
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 264 4,489 0 23 Jan 2020
Language GANs Falling Short Massimo Caccia Lucas Caccia W. Fedus Hugo Larochelle Joelle Pineau Laurent Charlin 127 215 0 06 Nov 2018