148 citations · 827 across the 63 of their papers we have counts for
10 papers · 1 filter
Split and Merge: Aligning Position Biases in LLM-based Evaluators
Zongjie Li, Chaozheng Wang, Pingchuan Ma +4
Large language models (LLMs) have shown promise as automated evaluators for assessing the quality of answers generated by AI systems. However, these LLM-based evaluators exhibit po…
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion
Zi Gong, Yinpeng Guo, Pingyi Zhou +3
Code completion is a valuable topic in both academia and industry. Recently, large-scale mono-programming-lingual (MonoPL) pre-training models have been proposed to boost the perfo…
A Survey on Natural Language Processing for Programming
Qingfu Zhu, Xianzhen Luo, Fang Liu +2
Natural language processing for programming aims to use NLP techniques to assist programming. It is increasingly prevalent for its effectiveness in improving productivity. Distinct…
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling
Yuanhang Yang, Shiyi Qi, Chuanyi Liu +3
Transformer-based models have achieved great success on sentence pair modeling tasks, such as answer selection and natural language inference (NLI). These models generally perform…
Source Code Summarization with Structural Relative Position Guided Transformer
Zi Gong, Cuiyun Gao, Yasheng Wang +3
Source code summarization aims at generating concise and clear natural language descriptions for programming languages. Well-written code summaries are beneficial for programmers t…
Code Structure Guided Transformer for Source Code Summarization
Shuzheng Gao, Cuiyun Gao, Yulan He +4
Code summaries help developers comprehend programs and reduce their time to infer the program functionalities during software maintenance. Recent efforts resort to deep learning te…
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong +3
Automatic generation of high-quality commit messages for code commits can substantially facilitate software developers' works and coordination. However, the semantic gap between so…
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process
Jichuan Zeng, Jing Li, Yulan He +3
In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society. Despite of the increasing attention to characterize human argume…
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations
Jichuan Zeng, Jing Li, Yulan He +3
This paper presents an unsupervised framework for jointly modeling topic content and discourse behavior in microblog conversations. Concretely, we propose a neural model to discove…
Topic Memory Networks for Short Text Classification
Jichuan Zeng, Jing Li, Yan Song +3
Many classification models work poorly on short texts due to data sparsity. To address this issue, we propose topic memory networks for short text classification with a novel topic…