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Large Language Models Are Reasoning Teachers

Large Language Models Are Reasoning Teachers

20 December 2022
Namgyu Ho
Laura Schmid
Se-Young Yun
    ReLM
    ELM
    LRM
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Papers citing "Large Language Models Are Reasoning Teachers"

50 / 232 papers shown
Title
A Survey on the Integration of Generative AI for Critical Thinking in
  Mobile Networks
A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks
Athanasios Karapantelakis
Alexandros Nikou
Ajay Kattepur
Jean Martins
Leonid Mokrushin
S. Mohalik
Marin Orlic
Aneta Vulgarakis Feljan
24
1
0
10 Apr 2024
Okay, Let's Do This! Modeling Event Coreference with Generated
  Rationales and Knowledge Distillation
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
Abhijnan Nath
Shadi Manafi
Avyakta Chelle
Nikhil Krishnaswamy
38
1
0
04 Apr 2024
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?
Pouya Sadeghi
Amirhossein Abaskohi
Yadollah Yaghoobzadeh
LRM
ReLM
25
1
0
03 Apr 2024
Token-Efficient Leverage Learning in Large Language Models
Token-Efficient Leverage Learning in Large Language Models
Yuanhao Zeng
Min Wang
Yihang Wang
Yingxia Shao
29
0
0
01 Apr 2024
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented
  Dialogue Representations
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations
Weihao Zeng
Dayuan Fu
Keqing He
Yejie Wang
Yukai Xu
Weiran Xu
33
2
0
31 Mar 2024
Mitigating Misleading Chain-of-Thought Reasoning with Selective
  Filtering
Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering
Yexin Wu
Zhuosheng Zhang
Hai Zhao
LRM
19
3
0
28 Mar 2024
Towards Interpretable Hate Speech Detection using Large Language
  Model-extracted Rationales
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
Ayushi Nirmal
Amrita Bhattacharjee
Paras Sheth
Huan Liu
AAML
20
11
0
19 Mar 2024
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive
  Speech Detection via Large Language Models
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
H. Nghiem
Hal Daumé
31
1
0
18 Mar 2024
TriSum: Learning Summarization Ability from Large Language Models with
  Structured Rationale
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
Pengcheng Jiang
Cao Xiao
Zifeng Wang
Parminder Bhatia
Jimeng Sun
Jiawei Han
LRM
16
10
0
15 Mar 2024
Quiet-STaR: Language Models Can Teach Themselves to Think Before
  Speaking
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
E. Zelikman
Georges Harik
Yijia Shao
Varuna Jayasiri
Nick Haber
Noah D. Goodman
LLMAG
ReLM
LRM
47
108
0
14 Mar 2024
Meaningful Learning: Advancing Abstract Reasoning in Large Language
  Models via Generic Fact Guidance
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
Kai Xiong
Xiao Ding
Ting Liu
Bing Qin
Dongliang Xu
Qing Yang
Hongtao Liu
Yixin Cao
LRM
29
3
0
14 Mar 2024
Evolving Knowledge Distillation with Large Language Models and Active
  Learning
Evolving Knowledge Distillation with Large Language Models and Active Learning
Chengyuan Liu
Yangyang Kang
Fubang Zhao
Kun Kuang
Zhuoren Jiang
Changlong Sun
Fei Wu
16
4
0
11 Mar 2024
Data Augmentation using Large Language Models: Data Perspectives,
  Learning Paradigms and Challenges
Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
Bosheng Ding
Chengwei Qin
Ruochen Zhao
Tianze Luo
Xinze Li
Guizhen Chen
Wenhan Xia
Junjie Hu
A. Luu
Shafiq R. Joty
29
18
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
41
1
0
04 Mar 2024
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with
  Extract-Then-Assign Strategy
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy
Jieyong Kim
Ryang Heo
Yongsik Seo
SeongKu Kang
Jinyoung Yeo
Dongha Lee
ReLM
LRM
28
4
0
01 Mar 2024
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
Benjamin Bergner
Andrii Skliar
Amelie Royer
Tijmen Blankevoort
Yuki Markus Asano
B. Bejnordi
58
5
0
26 Feb 2024
PREDILECT: Preferences Delineated with Zero-Shot Language-based
  Reasoning in Reinforcement Learning
PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning
Simon Holk
Daniel Marta
Iolanda Leite
37
11
0
23 Feb 2024
Large Language Models for Data Annotation: A Survey
Large Language Models for Data Annotation: A Survey
Zhen Tan
Dawei Li
Song Wang
Alimohammad Beigi
Bohan Jiang
Amrita Bhattacharjee
Mansooreh Karami
Jundong Li
Lu Cheng
Huan Liu
SyDa
42
46
0
21 Feb 2024
A Survey on Knowledge Distillation of Large Language Models
A Survey on Knowledge Distillation of Large Language Models
Xiaohan Xu
Ming Li
Chongyang Tao
Tao Shen
Reynold Cheng
Jinyang Li
Can Xu
Dacheng Tao
Tianyi Zhou
KELM
VLM
42
98
0
20 Feb 2024
ELAD: Explanation-Guided Large Language Models Active Distillation
ELAD: Explanation-Guided Large Language Models Active Distillation
Yifei Zhang
Bo Pan
Chen Ling
Yuntong Hu
Liang Zhao
38
5
0
20 Feb 2024
PromptKD: Distilling Student-Friendly Knowledge for Generative Language
  Models via Prompt Tuning
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
Gyeongman Kim
Doohyuk Jang
Eunho Yang
VLM
35
13
0
20 Feb 2024
Distilling Large Language Models for Text-Attributed Graph Learning
Distilling Large Language Models for Text-Attributed Graph Learning
Bo Pan
Zhengwu Zhang
Yifei Zhang
Yuntong Hu
Liang Zhao
30
13
0
19 Feb 2024
I Learn Better If You Speak My Language: Understanding the Superior
  Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
Xuan Ren
Biao Wu
Lingqiao Liu
25
5
0
17 Feb 2024
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning
  Processes
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes
Dingzirui Wang
Longxu Dou
Xuanliang Zhang
Qingfu Zhu
Wanxiang Che
LRM
26
0
0
16 Feb 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
Leveraging Large Language Models for Enhanced NLP Task Performance
  through Knowledge Distillation and Optimized Training Strategies
Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies
Yining Huang
Keke Tang
Meilian Chen
25
9
0
14 Feb 2024
LLM-driven Imitation of Subrational Behavior : Illusion or Reality?
LLM-driven Imitation of Subrational Behavior : Illusion or Reality?
Andrea Coletta
Kshama Dwarakanath
Penghang Liu
Svitlana Vyetrenko
T. Balch
11
10
0
13 Feb 2024
SceMQA: A Scientific College Entrance Level Multimodal Question
  Answering Benchmark
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
Zhenwen Liang
Kehan Guo
Gang Liu
Taicheng Guo
Yujun Zhou
Tianyu Yang
Jiajun Jiao
Renjie Pi
Jipeng Zhang
Xiangliang Zhang
ELM
26
18
0
06 Feb 2024
Understanding the Effect of Noise in LLM Training Data with Algorithmic
  Chains of Thought
Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought
Alex Havrilla
Maia Iyer
19
7
0
06 Feb 2024
A Survey on Transformer Compression
A Survey on Transformer Compression
Yehui Tang
Yunhe Wang
Jianyuan Guo
Zhijun Tu
Kai Han
Hailin Hu
Dacheng Tao
29
27
0
05 Feb 2024
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs
  Improves Reasoning in Smaller Language Models
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
Justin Chih-Yao Chen
Swarnadeep Saha
Elias Stengel-Eskin
Mohit Bansal
LRM
LLMAG
30
13
0
02 Feb 2024
Contextualization Distillation from Large Language Model for Knowledge
  Graph Completion
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
Dawei Li
Zhen Tan
Tianlong Chen
Huan Liu
KELM
25
12
0
28 Jan 2024
TPD: Enhancing Student Language Model Reasoning via Principle Discovery
  and Guidance
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance
Haorui Wang
Rongzhi Zhang
Yinghao Li
Lingkai Kong
Yuchen Zhuang
Xiusi Chen
Chao Zhang
LRM
38
5
0
24 Jan 2024
Distilling Mathematical Reasoning Capabilities into Small Language
  Models
Distilling Mathematical Reasoning Capabilities into Small Language Models
Xunyu Zhu
Jian Li
Yong Liu
Can Ma
Weiping Wang
LRM
29
9
0
22 Jan 2024
MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible
  Pipeline
MARIO: MAth Reasoning with code Interpreter Output -- A Reproducible Pipeline
Minpeng Liao
Wei Luo
Chengxi Li
Jing Wu
Kai Fan
LRM
32
37
0
16 Jan 2024
xCoT: Cross-lingual Instruction Tuning for Cross-lingual
  Chain-of-Thought Reasoning
xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning
Linzheng Chai
Jian Yang
Tao Sun
Hongcheng Guo
Jiaheng Liu
...
Xiannian Liang
Jiaqi Bai
Tongliang Li
Qiyao Peng
Zhoujun Li
LRM
29
48
0
13 Jan 2024
Knowledge Distillation for Closed-Source Language Models
Knowledge Distillation for Closed-Source Language Models
Hongzhan Chen
Xiaojun Quan
Hehong Chen
Ming Yan
Ji Zhang
BDL
33
2
0
13 Jan 2024
Large Language Models Can Learn Temporal Reasoning
Large Language Models Can Learn Temporal Reasoning
Siheng Xiong
Ali Payani
Ramana Rao Kompella
Faramarz Fekri
LRM
27
73
0
12 Jan 2024
Adapting Large Language Models for Education: Foundational Capabilities,
  Potentials, and Challenges
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges
Qingyao Li
Lingyue Fu
Weiming Zhang
Xianyu Chen
Jingwei Yu
Wei Xia
Weinan Zhang
Ruiming Tang
Yong Yu
AI4Ed
ELM
27
17
0
27 Dec 2023
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from
  LLMs by Leveraging Negative Data
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
Yiwei Li
Peiwen Yuan
Shaoxiong Feng
Boyuan Pan
Bin Sun
Xinglin Wang
Heda Wang
Kan Li
LRM
11
20
0
20 Dec 2023
A Survey of Reasoning with Foundation Models
A Survey of Reasoning with Foundation Models
Jiankai Sun
Chuanyang Zheng
E. Xie
Zhengying Liu
Ruihang Chu
...
Xipeng Qiu
Yi-Chen Guo
Hui Xiong
Qun Liu
Zhenguo Li
ReLM
LRM
AI4CE
22
75
0
17 Dec 2023
Student as an Inherent Denoiser of Noisy Teacher
Student as an Inherent Denoiser of Noisy Teacher
Jiachen Zhao
16
0
0
15 Dec 2023
Interactive Planning Using Large Language Models for Partially
  Observable Robotics Tasks
Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks
Lingfeng Sun
Devesh K. Jha
Chiori Hori
Siddarth Jain
Radu Corcodel
Xinghao Zhu
Masayoshi Tomizuka
Diego Romeres
LM&Ro
LLMAG
22
20
0
11 Dec 2023
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning
  Distilled from Large Language Models
Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models
Hongzhan Lin
Ziyang Luo
Jing Ma
Long Chen
24
9
0
09 Dec 2023
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
68
19
0
29 Nov 2023
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive
  Thinking from Large Language Models
Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models
Weize Liu
Guocong Li
Kai Zhang
Bang Du
Qiyuan Chen
Xuming Hu
Hongxia Xu
Jintai Chen
Jian Wu
LRM
18
6
0
15 Nov 2023
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Shumin Deng
Ningyu Zhang
Nay Oo
Bryan Hooi
LRM
30
1
0
15 Nov 2023
Human-Centric Autonomous Systems With LLMs for User Command Reasoning
Human-Centric Autonomous Systems With LLMs for User Command Reasoning
Yi Yang
Qingwen Zhang
Ci Li
Daniel Simoes Marta
Nazre Batool
John Folkesson
LRM
59
29
0
14 Nov 2023
VerityMath: Advancing Mathematical Reasoning by Self-Verification
  Through Unit Consistency
VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency
Vernon Toh
Ratish Puduppully
Nancy F. Chen
LRM
17
5
0
13 Nov 2023
Towards the Law of Capacity Gap in Distilling Language Models
Towards the Law of Capacity Gap in Distilling Language Models
Chen Zhang
Dawei Song
Zheyu Ye
Yan Gao
ELM
23
20
0
13 Nov 2023
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