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Can Large Language Models Be an Alternative to Human Evaluations? paper by Independent / Community
⭐ 72.9
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Paper

Can Large Language Models Be an Alternative to Human Evaluations?

by Independent / Community 03055978e278960de9fbb5c648b1779ef9f26cd1
Free2AITools Nexus Index
72.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 92
P: Popularity 72
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Human evaluation is indispensable and inevitable for assessing the quality of texts generated by machine learning models or written by humans. However, human evaluation is very difficult to reproduce and its quality is notoriously unstable, hindering fair comparisons among different natural language processing (NLP) models and algorithms.Recently, large language models (LLMs) have demonstrated exceptional performance on unseen tasks when only the task instructions are provided.In this paper, ...

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Semantic Scholar 988 Citations
Paper Information Summary
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Registry ID 03055978e278960de9fbb5c648b1779ef9f26cd1
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{03055978e278960de9fbb5c648b1779ef9f26cd1,
  author = {Unknown},
  title = {Can Large Language Models Be an Alternative to Human Evaluations? Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/03055978e278960de9fbb5c648b1779ef9f26cd1}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Can Large Language Models Be an Alternative to Human Evaluations? [Paper]. Free2AITools. https://api.semanticscholar.org/03055978e278960de9fbb5c648b1779ef9f26cd1

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Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 92
Popularity (P) 72
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Can Large Language Models Be an Alternative to Human Evaluations?: Authority (A:92), Popularity (P:72), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data

πŸ“ Executive Summary

"Human evaluation is indispensable and inevitable for assessing the quality of texts generated by machine learning models or written by humans. However, human evaluation is very difficult to reproduce and its quality is notoriously unstable, hindering fair comparisons among different natural language processing (NLP) models and algorithms.Recently, large language models (LLMs) have demonstrated exceptional performance on unseen tasks when only the task instructions are provided.In this paper, ..."

❝ Cite Node 

@article{Unknown2026Can,
  title={Can Large Language Models Be an Alternative to Human Evaluations?},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ988CitationsSemantic Scholar
πŸ›οΈ92AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈtext generationField

🏷️ Research Topics

instruction tuning
πŸ“¦Data Source: semantic_scholar
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πŸ†” Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

architecture
null
params billions
null
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citations
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