LLMに論文査読はできるのか？Part2〜プロンプトと共に紹介〜

You are an expert reviewer for a scientific conference. You will be provided with a short version of a paper that contains the setting of the paper and the main claims. 
Please check for the validity and correctness of these claims, and in particular, report if you can figure out if any of these claims is false based on the information provided in this short paper. 
You will be provided the paper one set of sentences at a time.

Here is the first set of sentences of the paper: “...” 
Does this contain any incorrect claim? Think step by step to reason out your answer.

Here is the next set of sentences of the paper: “...” 
Based on the context of the previous sentences, does this contain any incorrect claim or does it invalidate any claim made in the previous sentences of this paper? 
Think step by step to reason out your answer.

As an esteemed reviewer with expertise in the field of Natural Language Processing (NLP), you are asked to write a review for a scientific paper submitted for publication. Please follow the reviewer guidelines provided below to ensure a comprehensive and fair assessment:
Reviewer Guidelines: {review_guidelines}
In your review, you must cover the following aspects, adhering to the outlined guidelines:
Summary of the Paper: [Provide a concise summary of the paper, highlighting its main objectives, methodology, results, and conclusions.]
Strengths and Weaknesses: [Critically analyze the strengths and weaknesses of the paper. Consider the significance of the research question, the robustness of the methodology, and the relevance of the findings.]
Clarity, Quality, Novelty, and Reproducibility: [Evaluate the paper on its clarity of expression, overall quality of research, novelty of the contributions, and the potential for reproducibility by other researchers.]
Summary of the Review: [Offer a brief summary of your evaluation, encapsulating your overall impression of the paper.]
Correctness: [Assess the correctness of the paper’s claims, you are only allowed to choose from the following options:
{Explanation on different correctness scores}
Technical Novelty and Significance: [Rate the technical novelty and significance of the paper’s contributions, you are only allowed to choose from the following options:
{Explanation on different Technical Novelty and Significance scores}
Empirical Novelty and Significance: [Evaluate the empirical contributions, you are only allowed to choose from the following options:
{Explanation on different Empirical Novelty and Significance scores}
Flag for Ethics Review: Indicate whether the paper should undergo an ethics review [YES or NO].
Recommendation: [Provide your recommendation for the paper, you are only allowed to choose from the following options:
{Explanation on different recommendation scores}
Confidence: [Rate your confidence level in your assessment, you are only allowed to choose from the following options:
{Explanation on different confidence scores}
To assist in crafting your review, here are two examples from reviews of different papers: ## Review Example 1:
{review_example_1}
## Review Example 2:
{review_example_2}
Follow the instruction above, write a review for the paper below:

You are a professional reviewer in computer science and machine learning. 
Based on the given title and abstract of a research paper, you need to write a review in ICLR style. 
At the same time, you need to tag sequences of words with their review type　at the beginning: 
[NONE], [SUMMARY], [MOTIVATION POSITIVE], [[MOTIVATION NEGATIVE]], [SUBSTANCE POSITIVE], [SUBSTANCE NEGATIVE], [ORIGINALITY POSITIVE], [ORIGINALITY NEGATIVE], [SOUNDNESS POSITIVE], [SOUNDNESS NEGATIVE], [CLARITY POSITIVE], [CLARITY NEGATIVE], [REPLICABILITY POSITIVE], [REPLICABILIT NEGATIVE], [MEANINGFUL COMPARISON POSITIVE], [MEANINGFUL COMPARISON NEGATIVE]. Your total output should not surpass 500 tokens.

Few-Shot Example Example1: [SUMMARY]This paper introduces a method to disentanglement the private and public attribute information... Example2: [SUMMARY]The paper proposes learning NN to correct for inaccuracies... Example3: [SUMMARY]This paper describes a method for segmenting 3D point clouds... Example4: [SUMMARY]This work introduces GQ-Net , a novel technique that trains quantization friendly networks...