Submission 458, Chao et al. #31
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Co-authored-by: Anne S. Chao <[email protected]> Co-authored-by: Yi Zhong <[email protected]> Co-authored-by: Qiwei Li <[email protected]> Co-authored-by: Zhandong Liu
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Actionable comments posted: 1
Outside diff range, codebase verification and nitpick comments (7)
submissions/458/index.qmd (7)
49-52: Clarify the selection criteria for articles.The methodology mentions selecting fifteen articles but does not specify the criteria used for selection. Clarifying this can improve the reproducibility of the study.
- From this collection we selected fifteen articles that were salient in his thoughts on political theory, written in the years 1914-1940. + From this collection, we selected fifteen articles based on their relevance to Chen's political theory, focusing on those written between 1914 and 1940.
54-55: Clarify sentence detection implementation.The sentence detection function is mentioned but not detailed. Consider providing a brief explanation or pseudocode to enhance understanding.
- Sentence Detection: A custom function called “chinese_sentence_detector “was implemented to detect sentences based on punctuation marks specific to Chinese (e.g., "。", "！", "？"). + Sentence Detection: A custom function, `chinese_sentence_detector`, was implemented to detect sentences based on Chinese punctuation marks (e.g., "。", "！", "？"). This function splits text into sentences by identifying these punctuation marks.
57-58: Specify the version of the language model used.The model "Colossal-LLaMA-2-7b-base" is mentioned, but it would be helpful to specify the version or source to ensure reproducibility.
- We loaded the Colossal-LLaMA-2-7b-base model. + We loaded the Colossal-LLaMA-2-7b-base model (version X.Y, available from [source]).
60-61: Clarify the query embedding process.The query embedding process is briefly mentioned. Providing more detail on how the query is embedded could enhance understanding.
- The question: “Is this article in favor of communism or capitalism?” [这篇文章是支持共产主义还是支持资本主义?"] was embedded using the same model and tokenizer. + The question, “Is this article in favor of communism or capitalism?” [这篇文章是支持共产主义还是支持资本主义?], was embedded using the same model and tokenizer as the sentences, ensuring consistency in the embedding space.
63-71: Ensure clarity in the workflow steps.The workflow steps are outlined but could benefit from additional detail or examples to illustrate the process.
- The following steps illustrate the workflow for a specific set of documents: + The following steps illustrate the workflow for analyzing a specific set of documents:
88-91: Clarify the criteria for evaluating summaries.The results mention issues with the summaries but do not specify the criteria used for evaluation. Clarifying this could enhance understanding.
- The summaries of the fifteen articles produced by Llama were perfunctory and inconclusive. + The summaries of the fifteen articles produced by Llama were evaluated based on coherence, accuracy, and relevance, and were found to be perfunctory and inconclusive.
105-110: Emphasize the need for future improvements.The conclusion highlights limitations but could emphasize future improvements more strongly.
- Our study underscores the need for continuous refinement in leveraging AI methodologies for historical text analysis. + Our study underscores the need for continuous refinement in leveraging AI methodologies for historical text analysis. Future efforts should focus on enhancing model capabilities to better understand historical context and handle complex arguments.
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Files selected for processing (3)
- submissions/458/_quarto.yml (1 hunks)
- submissions/458/index.qmd (1 hunks)
- submissions/458/references.bib (1 hunks)
Files skipped from review due to trivial changes (2)
- submissions/458/_quarto.yml
- submissions/458/references.bib
Additional comments not posted (1)
submissions/458/index.qmd (1)
37-47: Ensure proper citation formatting.The citation format should be consistent throughout the document. Verify that all citations use the correct syntax and are properly referenced in the bibliography.
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Pull request
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Co-authored-by: Anne S. Chao [email protected]
Co-authored-by: Yi Zhong [email protected]
Co-authored-by: Qiwei Li [email protected]
Co-authored-by: Zhandong Liu
Types of changes
Checklist
Co-authored-by: Name <[email protected]>.Summary by CodeRabbit
New Features
Bug Fixes