Knowledge-Augmented Reasoning Distillation for Small Language Models in
Knowledge-Intensive Tasks

Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks

28 May 2023

Kenji Kawaguchi

Papers citing "Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks"

17 / 17 papers shown

Title
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation Chenxi Liu Hao Miao Qianxiong Xu Shaowen Zhou Cheng Long Yan Zhao Ziyue Li Rui Zhao AI4TS 29 1 0 04 May 2025
Mentor-KD: Making Small Language Models Better Multi-step Reasoners Hojae Lee Junho Kim SangKeun Lee LRM 26 1 0 11 Oct 2024
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang Cao Xiao Minhao Jiang Parminder Bhatia Taha A. Kass-Hout Jimeng Sun Jiawei Han RALM AI4MH 39 4 0 06 Oct 2024
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models Seanie Lee Haebin Seong Dong Bok Lee Minki Kang Xiaoyin Chen Dominik Wagner Yoshua Bengio Juho Lee Sung Ju Hwang 58 2 0 02 Oct 2024
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks Huanxuan Liao Shizhu He Yao Xu Yuanzhe Zhang Kang Liu Jun Zhao LRM 46 3 0 20 Sep 2024
What is the Role of Small Models in the LLM Era: A Survey Lihu Chen Gaël Varoquaux ALM 54 23 0 10 Sep 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models Byung-Kwan Lee Chae Won Kim Beomchan Park Yonghyun Ro MLLM LRM 22 17 0 24 May 2024
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models Minbyul Jeong Jiwoong Sohn Mujeen Sung Jaewoo Kang 8 27 0 27 Jan 2024
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 204 498 0 03 May 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
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 301 11,730 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 315 8,261 0 28 Jan 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies Mor Geva Daniel Khashabi Elad Segal Tushar Khot Dan Roth Jonathan Berant RALM 245 671 0 06 Jan 2021
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 245 80 0 11 Dec 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 220 4,424 0 23 Jan 2020