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Comment Generation

Article commenting poses new challenges for machines, as it involves multiple cognitive abilities: understanding the given article, formulating opinions and arguments, and organizing natu ral language for expression.

Papers

Showing 2650 of 65 papers

TitleStatusHype
Towards Context-Aware Code Comment Generation0
Towards Controlled and Diverse Generation of Article Comments0
ViCo: Engaging Video Comment Generation with Human Preference Rewards0
Creating Corpora for Research in Feedback Comment Generation0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn0
DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation0
DiffuCom: A novel diffusion model for comment generation0
DCA: Diversified Co-Attention towards Informative Live Video Commenting0
Energy-bounded Learning for Robust Models of Code0
Error syntax aware augmentation of feedback comment generation dataset0
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation0
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection0
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks0
LAMNER: Code Comment Generation Using Character Language Model and Named Entity Recognition0
Learning Comment Generation by Leveraging User-Generated Data0
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees0
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels0
Learning to Generate Code Comments from Class Hierarchies0
Learning to Represent Programs with Heterogeneous Graphs0
LiveChat: Video Comment Generation from Audio-Visual Multimodal Contexts0
Live Video Comment Generation Based on Surrounding Frames and Live Comments0
Market Comment Generation from Data with Noisy Alignments0
Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System0
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence ModelCode0
Code Attention: Translating Code to Comments by Exploiting Domain FeaturesCode0
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