Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems

24 May 2023

Papers citing "Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems"

8 / 8 papers shown

Title
Learning by Analogy: Enhancing Few-Shot Prompting for Math Word Problem Solving with Computational Graph-Based Retrieval Xiaocong Yang Jiacheng Lin Z. Wang Chengxiang Zhai ReLM 73 0 0 25 Nov 2024
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning Tianduo Wang Shichen Li Wei Lu LRM AI4CE 45 14 1 25 Jul 2024
Self-training Language Models for Arithmetic Reasoning Marek Kadlcík Michal Štefánik KELM ReLM OffRL LRM 35 1 0 11 Jul 2024
Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback Zhongtao Miao Kaiyan Zhao Yoshimasa Tsuruoka KELM LRM 36 2 0 25 Jun 2024
Tool Learning with Large Language Models: A Survey Changle Qu Sunhao Dai Xiaochi Wei Hengyi Cai Shuaiqiang Wang Dawei Yin Jun Xu Jirong Wen LLMAG 31 78 0 28 May 2024
Pre-Calc: Learning to Use the Calculator Improves Numeracy in Language Models Vishruth Veerendranath Vishwa Shah Kshitish Ghate 30 0 0 22 Apr 2024
Concept-aware Data Construction Improves In-context Learning of Language Models Michal Štefánik Marek Kadlcík Petr Sojka 41 0 0 08 Mar 2024
Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models Yao Yao Z. Li Hai Zhao ReLM LRM 11 16 0 26 May 2023