2 citations · 3 across the 11 of their papers we have counts for
8 papers · 1 filter
Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension
Fangzhou Xu, Sai Zhang, Zhenchang Xing +3
Code quality evaluation involves scoring generated code quality based on a reference code for a specific problem statement. Currently, there are two main forms of evaluating code q…
A test-free semantic mistakes localization framework in Neural Code Translation
Lei Chen, Sai Zhang, Fangzhou Xu +4
In the task of code translation, neural network-based models have been shown to frequently produce semantically erroneous code that deviates from the original logic of the source c…
Differentiating Choices via Commonality for Multiple-Choice Question Answering
Wenqing Deng, Zhe Wang, Kewen Wang +3
Multiple-choice question answering (MCQA) becomes particularly challenging when all choices are relevant to the question and are semantically similar. Yet this setting of MCQA can…
Empowering Agile-Based Generative Software Development through Human-AI Teamwork
Sai Zhang, Zhenchang Xing, Ronghui Guo +6
In software development, the raw requirements proposed by users are frequently incomplete, which impedes the complete implementation of application functionalities. With the emerge…
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation Representation
Shuyi Li, Shaojuan Wu, Xiaowang Zhang +1
Recognizing relations between two words is a fundamental task with the broad applications. Different from extracting relations from text, it is difficult to identify relations amon…
BiSup: Bidirectional Quantization Error Suppression for Large Language Models
Minghui Zou, Ronghui Guo, Sai Zhang +2
As the size and context length of Large Language Models (LLMs) grow, weight-activation quantization has emerged as a crucial technique for efficient deployment of LLMs. Compared to…
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
Jiarui Zhang, Shaojuan Wu, Xiaowang Zhang +1
Stance detection classifies stance relations (namely, Favor, Against, or Neither) between comments and targets. Pretrained language models (PLMs) are widely used to mine the stance…
Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference
Linyi Han, Shidong Pan, Zhenchang Xing +4
Augmenting missing key aspects in Textual Vulnerability Descriptions (TVDs) is crucial for effective vulnerability analysis. For instance, in TVDs, key aspects include Attack Vecto…