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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 1–10 of 65 papers

TitleStatusHype
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
Prompting for Numerical Sequences: A Case Study on Market Comment GenerationCode2
MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment GenerationCode0
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