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Improving Arithmetic Reasoning Ability of Large Language Models through
  Relation Tuples, Verification and Dynamic Feedback

Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback

25 June 2024
Zhongtao Miao
Kaiyan Zhao
Yoshimasa Tsuruoka
    KELM
    LRM
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Papers citing "Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback"

3 / 3 papers shown
Title
Improving LLM Reasoning through Scaling Inference Computation with
  Collaborative Verification
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification
Zhenwen Liang
Ye Liu
Tong Niu
Xiangliang Zhang
Yingbo Zhou
Semih Yavuz
LRM
30
17
0
05 Oct 2024
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
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
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
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