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20222026
most citedJiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding

10 citations · 21 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025

MMATH: A Multilingual Benchmark for Mathematical Reasoning

Wenyang Luo, Wayne Xin Zhao, Jing Sha +2

The advent of large reasoning models, such as OpenAI o1 and DeepSeek R1, has significantly advanced complex reasoning tasks. However, their capabilities in multilingual complex rea…

cs.CL2024

End-to-End Graph Flattening Method for Large Language Models

Bin Hong, Jinze Wu, Jiayu Liu +5

In recent years, the breakthrough of Large Language Models (LLMs) offers new ideas for achieving universal methods on graph data. The common practice of converting graphs into natu…

cs.CL2024★ 1 cited

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models

Kun Zhou, Beichen Zhang, Jiapeng Wang +6

Mathematical reasoning is an important capability of large language models~(LLMs) for real-world applications. To enhance this capability, existing work either collects large-scale…

cs.CL2024

DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation

Xueqing Wu, Rui Zheng, Jingzhen Sha +6

Data analysis is a crucial analytical process to generate in-depth studies and conclusive insights to comprehensively answer a given user query for tabular data. In this work, we a…

cs.CL2023

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving

Wayne Xin Zhao, Kun Zhou, Beichen Zhang +8

Although pre-trained language models~(PLMs) have recently advanced the research progress in mathematical reasoning, they are not specially designed as a capable multi-task solver,…

cs.CL2023★ 9 cited

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning

Beichen Zhang, Kun Zhou, Xilin Wei +4

Chain-of-thought prompting~(CoT) and tool augmentation have been validated in recent work as effective practices for improving large language models~(LLMs) to perform step-by-step…

cs.CL2022★ 10 cited

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding

Wayne Xin Zhao, Kun Zhou, Zheng Gong +7

This paper aims to advance the mathematical intelligence of machines by presenting the first Chinese mathematical pre-trained language model~(PLM) for effectively understanding and…