Papers Comment Generation
“Comment Generation” 태그가 달린 논문 65편 · 필터 해제
Leveraging Reward Models for Guiding Code Review Comment Generation
Code review is a crucial component of modern software development, involving the evaluation of code quality, providing feedback on potential issues, and refining the code to address identified problems. Despite these ben…
Comment GenerationEnhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Large Language Models (LLMs) have demonstrated unprecedented capability in code generation. However, LLM-generated code is still plagued with a wide range of functional errors, especially for complex programming tasks th…
Code GenerationComment GenerationHumanEvalProgram SynthesisReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews
Academic paper review is a critical yet time-consuming task within the research community. With the increasing volume of academic publications, automating the review process has become a significant challenge. The primar…
Comment GenerationMimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System
Information theft attacks pose a significant risk to Large Language Model (LLM) tool-learning systems. Adversaries can inject malicious commands through compromised tools, manipulating LLMs to send sensitive information …
Comment GenerationLarge Language ModelDeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation
Code review is a vital but demanding aspect of software development, generating significant interest in automating review comments. Traditional evaluation methods for these comments, primarily based on text similarity, f…
Comment GenerationFew-Shot Learningtext similarityAutomated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep Learning
Recent advances in deep learning and natural language generation have significantly improved image captioning, enabling automated, human-like descriptions for visual content. In this work, we apply these captioning techn…
Comment GenerationDecoderImage CaptioningMedical Report Generation+3Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation
Generating accurate code review comments remains a significant challenge due to the inherently diverse and non-unique nature of the task output. Large language models pretrained on both programming and natural language d…
Comment GenerationDeepCodeProbe: Towards Understanding What Models Trained on Code Learn
Machine learning models trained on code and related artifacts offer valuable support for software maintenance but suffer from interpretability issues due to their complex internal variables. These concerns are particular…
Clone DetectionCode SummarizationComment GenerationDecision Making+1Prompting for Numerical Sequences: A Case Study on Market Comment Generation
Large language models (LLMs) have been applied to a wide range of data-to-text generation tasks, including tables, graphs, and time-series numerical data-to-text settings. While research on generating prompts for structu…
Comment GenerationData-to-Text GenerationText GenerationTime SeriesMESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation
Code comments are important for developers in program comprehension. In scenarios of comprehending and reusing a method, developers expect code comments to provide supplementary information beyond the method signature. H…
Comment GenerationOMPGPT: A Generative Pre-trained Transformer Model for OpenMP
Large language models (LLMs)such as ChatGPT have significantly advanced the field of Natural Language Processing (NLP). This trend led to the development of code-based large language models such as StarCoder, WizardCoder…
Code CompletionCode GenerationComment GenerationComputational Efficiency+1Investigating the Efficacy of Large Language Models for Code Clone Detection
Large Language Models (LLMs) have demonstrated remarkable success in various natural language processing and software engineering tasks, such as code generation. The LLMs are mainly utilized in the prompt-based zero/few-…
Clone DetectionCode Comment GenerationCode GenerationComment GenerationDiffuCom: A novel diffusion model for comment generation
Given that the diffusion model has good advantages in diversity, an increasing number of researchers have recently begun exploring natural language generation. However, despite significant progress in modeling based on t…
Comment GenerationmodelSentenceText GenerationLiveChat: Video Comment Generation from Audio-Visual Multimodal Contexts
Live commenting on video, a popular feature of live streaming platforms, enables viewers to engage with the content and share their comments, reactions, opinions, or questions with the streamer or other viewers while wat…
Comment GenerationDiversitymultimodal generationA variational selection mechanism for article comment generation
Article comment generation is a new and challenging task in natural language processing, which has recently received much attention from researchers. In the article comment generation, there are apparent distinctions and…
ArticlesComment GenerationDiversityInformativenessViCo: Engaging Video Comment Generation with Human Preference Rewards
Engaging video comments play an important role in video social media, as they are the carrier of feelings, thoughts, or humor of the audience. Preliminary works have made initial exploration for video comment generation …
Caption GenerationComment GenerationDescriptiveSteering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Large Language Models (LLMs) hold immense potential to generate synthetic data of high quality and utility, which has numerous applications from downstream model training to practical data utilisation. However, contempor…
Comment GenerationDiversitySynthetic Data GenerationText GenerationKnowledge Enhanced Model for Live Video Comment Generation
Live video commenting is popular on video media platforms, as it can create a chatting atmosphere and provide supplementary information for users while watching videos. Automatically generating live video comments can im…
Comment GenerationDecodermodelAPIContext2Com: Code Comment Generation by Incorporating Pre-Defined API Documentation
Code comments are significantly helpful in comprehending software programs and also aid developers to save a great deal of time in software maintenance. Code comment generation aims to automatically predict comments in n…
Code Comment GenerationComment GenerationDecoderError syntax aware augmentation of feedback comment generation dataset
This paper presents a solution to the GenChal 2022 shared task dedicated to feedback comment generation for writing learning. In terms of this task given a text with an error and a span of the error, a system generates a…
Comment Generation