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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

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Showing 1–25 of 65 papers

TitleStatusHype
Prompting for Numerical Sequences: A Case Study on Market Comment GenerationCode2
CoNT: Contrastive Neural Text GenerationCode2
InCoder: A Generative Model for Code Infilling and SynthesisCode2
Automating Code Review Activities by Large-Scale Pre-trainingCode1
Impact of Evaluation Methodologies on Code SummarizationCode1
Retrieve and Refine: Exemplar-based Neural Comment GenerationCode1
Leveraging Reward Models for Guiding Code Review Comment GenerationCode0
Enhancing Code Generation via Bidirectional Comment-Level Mutual GroundingCode0
ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews—0
Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System—0
DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation—0
Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep LearningCode0
Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment GenerationCode0
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP—0
Investigating the Efficacy of Large Language Models for Code Clone DetectionCode0
DiffuCom: A novel diffusion model for comment generation—0
LiveChat: Video Comment Generation from Audio-Visual Multimodal Contexts—0
A variational selection mechanism for article comment generationCode0
ViCo: Engaging Video Comment Generation with Human Preference Rewards—0
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation—0
Knowledge Enhanced Model for Live Video Comment GenerationCode0
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation—0
Error syntax aware augmentation of feedback comment generation dataset—0
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