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09/15/2023
Practical Program Repair via Preference-based Ensemble Strategy
To date, over 40 Automated Program Repair (APR) tools have been designed...
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09/09/2023
FAIR: Flow Type-Aware Pre-Training of Compiler Intermediate Representations
While the majority of existing pre-trained models from code learn source...
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04/27/2023
Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy
Organizations are increasingly adopting machine learning (ML) for person...
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02/17/2023
Multimodal Propaganda Processing
Propaganda campaigns have long been used to influence public opinion via...
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02/08/2023
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Despite the recent advances showing that a model pre-trained on large-sc...
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02/08/2023
An Empirical Comparison of Pre-Trained Models of Source Code
While a large number of pre-trained models of source code have been succ...
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11/29/2022
End-to-End Neural Discourse Deixis Resolution in Dialogue
We adapt Lee et al.'s (2018) span-based entity coreference model to the ...
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10/22/2022
DiscoSense: Commonsense Reasoning with Discourse Connectives
We present DiscoSense, a benchmark for commonsense reasoning via underst...
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05/24/2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Recent years have seen the successful application of deep learning to so...
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01/28/2022
Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
While commonsense knowledge acquisition and reasoning has traditionally ...
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01/05/2022
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations
Recent years have seen the successful application of large pre-trained m...
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08/12/2020
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
Since 2009, the deep learning revolution, which was triggered by the int...
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06/17/2019
Assessing the Quality of the Steps to Reproduce in Bug Reports
A major problem with user-written bug reports, indicated by developers a...
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03/23/2018
WikiRank: Improving Keyphrase Extraction Based on Background Knowledge
Keyphrase is an efficient representation of the main idea of documents. ...
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01/16/2014
Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference Resolution
Traditional learning-based coreference resolvers operate by training the...
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01/16/2014
Which Clustering Do You Want? Inducing Your Ideal Clustering with Minimal Feedback
While traditional research on text clustering has largely focused on gro...
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01/16/2014