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Automated Comment Generation Based on the Large Language Model
Automated essay comment generation is important for writing in education, as it can reduce the burden on teachers while providing students with rapid...
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Personalized time-sync comment generation based on a multimodal transformer
Online video entertainment has attracted large audiences and sustained viewing in various fields. With more than 4.5 billion Internet users...
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Bash comment generation via data augmentation and semantic-aware CodeBERT
Understanding Bash code is challenging for developers due to its syntax flexibility and unique features. Bash lacks sufficient training data compared...
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BCGen: a comment generation method for bytecode
Bytecode is a form of instruction set designed for efficient execution by a software interpreter. Unlike human-readable source code, bytecode is even...
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Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems
In open-source software ecosystems, the scale of source code is getting larger and larger, and developers often use various methods (good code...
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Is This Comment More Relevant? Understanding the Structural Aspects of Relevance in Comment Sections
What makes a user comment relevant for readers? In this paper, we investigate the structural aspects of user comments as they appear e.g. in the...
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Fake Comment Detection Based on Generative Adversarial Networks
Fake comments are a widespread problem in various online activities. This issue not only impacts the consumer experience and service quality but also...
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Exploiting API Description Information to Improve Code Comment Generation
Code comments can improve the readability of program and help the programmer to efficiently promote the maintenance of the software. Therefore, the...
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PLVCG: A Pretraining Based Model for Live Video Comment Generation
Live video comment generating task aims to automatically generate real-time viewer comments on videos like real viewers do. Like providing search...
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Hi-Stega: A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation
Due to the widespread use of social media, linguistic steganography which embeds secret message into normal text to protect the security and privacy...
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Advances and challenges in artificial intelligence text generation
Text generation is an essential research area in artificial intelligence (AI) technology and natural language processing and provides key technical...
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Hierarchical Planning of Topic-Comment Structure for Paper Abstract Writing
Paper abstract writing aims to generate medium-long content with the given paper title. It is challenging to generate coherent and accurate paper...
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Automatic Target Description File Generation
Agile hardware design is gaining increasing momentum and bringing new chips in larger quantities to the market faster. However, it also takes new...
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MOO-CMDS+NER: Named Entity Recognition-Based Extractive Comment-Oriented Multi-document Summarization
In this work, we propose an unsupervised extractive summarization framework for generating good quality summaries which are supplemented by the...
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Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder
Recommendation systems have been effectively utilized in various fields, but their internal decision-making methods are still largely unknown. This...
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Toward granular search-based automatic unit test case generation
Unit testing verifies the presence of faults in individual software components. Previous research has been targeting the automatic generation of unit...
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The German Comment Landscape
Online comment sections revolutionised the participatory discourse as enabled by news media, limiting the hurdles to participate and speeding up the...
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An Empirical Study on Automated Test Generation Tools for Java: Effectiveness and Challenges
Automated test generation tools enable test automation and further alleviate the low efficiency caused by writing hand-crafted test cases. However,...
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Methods for Integrated Hypothesis Generation
This chapter explains hypothesis generation methods other than the difference method explained in Chap. 6 ....
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Diffusion-Based Document Layout Generation
We develop a diffusion-based approach for various document layout sequence generation. Layout sequences specify the contents of a document design in...