Jiangzhou Ju — accepted AI-conference papers

2023

DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data

Xiao Li, Yin Zhu, Sichen Liu, Jiangzhou Ju, Yuzhong Qu, Gong Cheng

AAAI 2023technical

Numerical reasoning over hybrid data containing tables and long texts has recently received research attention from the AI community. To generate an executable reasoning program consisting of math and table operations to answer a question, state-of-the-art methods use a retriever-generator pipeline.…

Cited by 13 Source ↗PDF ↗code ↗Scholar ↗

2022

Structure-Unified M-Tree Coding Solver for Math Word Problem

Bin Wang, Jiangzhou Ju, Yang Fan, Xinyu Dai, Shujian Huang, Jiajun Chen

EMNLP 2022main

As one of the challenging NLP tasks, designing math word problem (MWP) solvers has attracted increasing research attention for the past few years. In previous work, models designed by taking into account the properties of the binary tree structure of mathematical expressions at the output side have…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗