SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–65 of 65 papers

TitleStatusHype
Investigating the Efficacy of Large Language Models for Code Clone DetectionCode0
Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal InformationCode0
Knowledge Enhanced Model for Live Video Comment GenerationCode0
StoryER: Automatic Story Evaluation via Ranking, Rating and ReasoningCode0
Automatic Comment Generation via Multi-Pass DeliberationCode0
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection ModelsCode0
Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep LearningCode0
Enhancing Code Generation via Bidirectional Comment-Level Mutual GroundingCode0
MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment GenerationCode0
A variational selection mechanism for article comment generationCode0
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music CommentCode0
Exploring Methods for Generating Feedback Comments for Writing LearningCode0
Learning with Contrastive Examples for Data-to-Text GenerationCode0
Leveraging Reward Models for Guiding Code Review Comment GenerationCode0
Automatic Generation of Personalized Comment Based on User ProfileCode0
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.