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Explanations from Large Language Models Make Small Reasoners Better

Explanations from Large Language Models Make Small Reasoners Better

13 October 2022
Shiyang Li
Jianshu Chen
Yelong Shen
Zhiyu Zoey Chen
Xinlu Zhang
Zekun Li
Hong Wang
Jingu Qian
Baolin Peng
Yi Mao
Wenhu Chen
Xifeng Yan
    ReLM
    LRM
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Papers citing "Explanations from Large Language Models Make Small Reasoners Better"

22 / 22 papers shown
Title
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
Nan Zhang
Yusen Zhang
Prasenjit Mitra
Rui Zhang
MQ
LRM
48
2
0
02 Apr 2025
Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations
Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations
Lihu Chen
Shuojie Fu
Gabriel Freedman
Cemre Zor
Guy Martin
James Kinross
Uddhav Vaghela
Ovidiu Serban
Francesca Toni
DeLMO
63
0
0
21 Feb 2025
Efficient Knowledge Distillation: Empowering Small Language Models with
  Teacher Model Insights
Efficient Knowledge Distillation: Empowering Small Language Models with Teacher Model Insights
Mohamad Ballout
U. Krumnack
Gunther Heidemann
Kai-Uwe Kühnberger
15
2
0
19 Sep 2024
What is the Role of Small Models in the LLM Era: A Survey
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen
Gaël Varoquaux
ALM
58
23
0
10 Sep 2024
CAVE: Controllable Authorship Verification Explanations
CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath
Kartik Pandey
Elizabeth Boschee
Xiang Ren
59
1
0
24 Jun 2024
Improve Student's Reasoning Generalizability through Cascading
  Decomposed CoTs Distillation
Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation
Chengwei Dai
Kun Li
Wei Zhou
Song Hu
LRM
44
3
0
30 May 2024
Beyond Imitation: Learning Key Reasoning Steps from Dual
  Chain-of-Thoughts in Reasoning Distillation
Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation
Chengwei Dai
Kun Li
Wei Zhou
Song Hu
LRM
36
5
0
30 May 2024
Describe-then-Reason: Improving Multimodal Mathematical Reasoning
  through Visual Comprehension Training
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training
Mengzhao Jia
Zhihan Zhang
W. Yu
Fangkai Jiao
Meng-Long Jiang
VLM
ReLM
LRM
48
7
0
22 Apr 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
43
7
0
20 Dec 2023
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal
  Models
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models
Zongjie Li
Chaozheng Wang
Chaowei Liu
Pingchuan Ma
Daoyuan Wu
Shuai Wang
Cuiyun Gao
VLM
19
6
0
07 Dec 2023
Deep Natural Language Feature Learning for Interpretable Prediction
Deep Natural Language Feature Learning for Interpretable Prediction
Felipe Urrutia
Cristian Buc
Valentin Barriere
13
1
0
09 Nov 2023
Controlled Generation with Prompt Insertion for Natural Language
  Explanations in Grammatical Error Correction
Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction
Masahiro Kaneko
Naoaki Okazaki
LRM
27
4
0
20 Sep 2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with
  Customized Exercise Generation
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
Zhenwen Liang
W. Yu
Tanmay Rajpurohit
Peter Clark
Xiangliang Zhang
Ashwin Kaylan
23
37
0
22 May 2023
Harvesting Event Schemas from Large Language Models
Harvesting Event Schemas from Large Language Models
Jialong Tang
Hongyu Lin
Zhuoqun Li
Yaojie Lu
Xianpei Han
Le Sun
18
4
0
12 May 2023
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MA
ELM
LRM
19
579
0
20 Dec 2022
Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLM
ELM
LRM
49
307
0
19 Dec 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
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
8,402
0
28 Jan 2022
Human Parity on CommonsenseQA: Augmenting Self-Attention with External
  Attention
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Yichong Xu
Chenguang Zhu
Shuohang Wang
Siqi Sun
Hao Cheng
Xiaodong Liu
Jianfeng Gao
Pengcheng He
Michael Zeng
Xuedong Huang
LRM
246
55
0
06 Dec 2021
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit
  Reasoning Strategies
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
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
274
170
0
24 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
252
620
0
04 Dec 2018
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