Row 7258
Content Data
This page contains data entry 7258 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Just heard that Nips has just received over 16k submissions, which is really concerning me. Such abonormal explosion in paper number is very likely to cause a largely degraded average quality of each paper, and demand more reviewers for paper review, which also could largely worsen the average review quality. Both factor would ultimately defame the conf and the paper accepted by the conf.
A straightfoward solution that came to me is to fine-tune an LLM with high-quality reviews on both good and bad papers, giving it expertise to filter out low-quality papers, and implement a pre-review (some confs seem to arleady have that) to lower the demand for expert reviewers.
Cons are the training cost/ethics/security/accuracy, etc.
Any thoughts?
| Field | Value |
|---|---|
| text | Just heard that Nips has just received over 16k submissions, which is really concerning me. Such abonormal explosion in paper number is very likely to cause a largely degraded average quality of each paper, and demand more reviewers for paper review, which also could largely worsen the average review quality. Both factor would ultimately defame the conf and the paper accepted by the conf. A straightfoward solution that came to me is to fine-tune an LLM with high-quality reviews on both good and… |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-05-15 |
| username_encoded | Z0FBQUFBQm5LakwzdUQ0U1pHMURmOE04R1FxTWxzWlVwakNaRDNQNlBKWXhiQjhicUJzd2hjYUtFMnBIanVGaVNJdjZmUkNvaVNITkwyX28wZkx0azRSa21uNjM5WlVIVEE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9IT2dWUkJrNXFkai1pTXlLVlU5MWdMX3RJbmZ4ZFRCbWg4TTFsV3Q0V1dWX3lPWXAwdDB6WF9XaVd5UFFGYmVrdjdFTVVkSVI5a0VhQ19QajVOLXFyMkxvTkF0dElCdTJzTU5oZnBMUVd4c3lmc2hodE1PalN1bGp4Zk9GNXBlbWVFNzVUT1dLM0FMWDk5N3M4OTNyYjVURk9iOVN6VWIwbElNeHlydW9hRGF1bjlYWGdoZFZMQTEwWi1GelNJZVYybkhGOUx1dUpZSjdLN1FWQ25ZM1NJdz09 |
Raw Record
{
"text": "Just heard that Nips has just received over 16k submissions, which is really concerning me. Such abonormal explosion in paper number is very likely to cause a largely degraded average quality of each paper, and demand more reviewers for paper review, which also could largely worsen the average review quality. Both factor would ultimately defame the conf and the paper accepted by the conf.\n\nA straightfoward solution that came to me is to fine-tune an LLM with high-quality reviews on both good and bad papers, giving it expertise to filter out low-quality papers, and implement a pre-review (some confs seem to arleady have that) to lower the demand for expert reviewers.\n\nCons are the training cost/ethics/security/accuracy, etc.\n\nAny thoughts?",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-05-15",
"username_encoded": "Z0FBQUFBQm5LakwzdUQ0U1pHMURmOE04R1FxTWxzWlVwakNaRDNQNlBKWXhiQjhicUJzd2hjYUtFMnBIanVGaVNJdjZmUkNvaVNITkwyX28wZkx0azRSa21uNjM5WlVIVEE9PQ==",
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}
Entry Information
- Entry ID: 7258
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000