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Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge
  Distillation in Small Models for Scientific QA

Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA

9 August 2023
Yuhan Ma
Haiqi Jiang
Chenyou Fan
    LRM
ArXivPDFHTML

Papers citing "Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge Distillation in Small Models for Scientific QA"

17 / 17 papers shown
Title
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability
Daniel Hendriks
Philipp Spitzer
Niklas Kühl
G. Satzger
27
0
0
22 Apr 2025
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
Yan Wang
Yawen Zeng
Jingsheng Zheng
Xiaofen Xing
Jin Xu
Xiangmin Xu
MLLM
LRM
VGen
35
11
0
07 Jul 2024
Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through
  Knowledge Transfer
Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
Haoyan Yang
Yixuan Wang
Xingyin Xu
Hanyuan Zhang
Yirong Bian
30
6
0
27 May 2024
Can only LLMs do Reasoning?: Potential of Small Language Models in Task
  Planning
Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning
Gawon Choi
Hyemin Ahn
LM&Ro
LRM
24
1
0
05 Apr 2024
Can Small Language Models Help Large Language Models Reason Better?:
  LM-Guided Chain-of-Thought
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
Jooyoung Lee
Fan Yang
Thanh Tran
Qian Hu
Emre Barut
Kai-Wei Chang
Chengwei Su
ReLM
LLMAG
LRM
14
10
0
04 Apr 2024
From Large to Tiny: Distilling and Refining Mathematical Expertise for
  Math Word Problems with Weakly Supervision
From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision
Qingwen Lin
Boyan Xu
Zhengting Huang
Ruichu Cai
21
2
0
21 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought
  Distillation
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
Xin Chen
Hanxian Huang
Yanjun Gao
Yi Wang
Jishen Zhao
Ke Ding
35
11
0
05 Mar 2024
AS-ES Learning: Towards Efficient CoT Learning in Small Models
AS-ES Learning: Towards Efficient CoT Learning in Small Models
Nuwa Xi
Yuhan Chen
Sendong Zhao
Hao Wang
Bing Qin
Ting Liu
LRM
36
1
0
04 Mar 2024
Model Compression and Efficient Inference for Large Language Models: A
  Survey
Model Compression and Efficient Inference for Large Language Models: A Survey
Wenxiao Wang
Wei Chen
Yicong Luo
Yongliu Long
Zhengkai Lin
Liye Zhang
Binbin Lin
Deng Cai
Xiaofei He
MQ
36
46
0
15 Feb 2024
Grounding Foundation Models through Federated Transfer Learning: A
  General Framework
Grounding Foundation Models through Federated Transfer Learning: A General Framework
Yan Kang
Tao Fan
Hanlin Gu
Xiaojin Zhang
Lixin Fan
Qiang Yang
AI4CE
61
19
0
29 Nov 2023
Two Timin': Repairing Smart Contracts With A Two-Layered Approach
Two Timin': Repairing Smart Contracts With A Two-Layered Approach
Abhinav Jain
Ehan Masud
Michelle Han
Rohan Dhillon
Sumukh Rao
Arya Joshi
Salar Cheema
Saurav Kumar
17
0
0
14 Sep 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
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
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs
  Answering
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering
Xiangyang Liu
Tianqi Pang
Chenyou Fan
FedML
LRM
40
23
0
27 Apr 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
A. Kalyan
ELM
ReLM
LRM
207
1,089
0
20 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
4,048
0
24 May 2022
Training language models to follow instructions with human feedback
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
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
1