Who Cited It

A Survey on Evaluation of Large Language Models

2024 · ACM Transactions on Intelligent Systems and Technology · 2,736 citations · 1 from inside this corpus

Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

A Survey on Evaluation of Large Language Models (2024)A Survey on Evaluation of Lar…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…Support-vector networks (1995)Support-vector networksAion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and… (2023)Aion Framework: Dimensional E…Training language models to follow instructions with human feedback (2022)Training language models to f…GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018)GLUE: A Multi-Task Benchmark …LLaMA: Open and Efficient Foundation Language Models (2023)LLaMA: Open and Efficient Fou…Large language models encode clinical knowledge (2023)Large language models encode …Class-based n -gram models of natural language (1992)Class-based n -gram models of…GPT-3: Its Nature, Scope, Limits, and Consequences (2020)GPT-3: Its Nature, Scope, Lim…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…PaLM: Scaling Language Modeling with Pathways (2022)PaLM: Scaling Language Modeli…Natural Questions: A Benchmark for Question Answering Research (2019)Natural Questions: A Benchmar…BERTScore: Evaluating Text Generation with BERT (2019)BERTScore: Evaluating Text Ge…A Survey of Large Language Models (2026)Estimation of prediction error by using K-fold cross-validation (2009)Estimation of prediction erro…A survey on large language model based autonomous agents (2024)A survey on large language mo…
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What this paper cites, inside the corpus

PaperYearCited
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…201846,036
Support-vector networks199541,028
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and…202314,346
Training language models to follow instructions with human feedback20224,344
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding20184,055
LLaMA: Open and Efficient Foundation Language Models20233,966
Large language models encode clinical knowledge20233,721
Class-based n -gram models of natural language19922,894
GPT-3: Its Nature, Scope, Limits, and Consequences20202,366
On the Opportunities and Risks of Foundation Models20212,265
PaLM: Scaling Language Modeling with Pathways20222,136
Natural Questions: A Benchmark for Question Answering Research20192,095
BERTScore: Evaluating Text Generation with BERT20192,065
A Survey of Large Language Models20261,517
Estimation of prediction error by using K-fold cross-validation20091,482

What cites it, inside the corpus

PaperYearCited
A survey on large language model based autonomous agents20241,513

Links

DOI · OpenAlex record

Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Artificial Intelligence in Healthcare and EducationMedicine

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports16 author record(s) attached.
  • supports280 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:48+00:00.

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