Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept
with Toxicity and Incivility Data

Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data

15 September 2024

Bastián González-Bustamante

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Papers citing "Benchmarking LLMs in Political Content Text-Annotation: Proof-of-Concept with Toxicity and Incivility Data"

6 / 6 papers shown

Title
rollama: An R package for using generative large language models through Ollama Johannes B. Gruber Maximilian Weber VLM 48 5 0 11 Apr 2024
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production Chandra Irugalbandara Ashish Mahendra Roland Daynauth T. Arachchige Kugesan Sivasothynathan Krisztian Flautner Lingjia Tang Yiping Kang Jason Mars ELM 58 19 0 20 Dec 2023
Out of One, Many: Using Language Models to Simulate Human Samples Lisa P. Argyle Ethan C. Busby Nancy Fulda Joshua R Gubler Christopher Rytting David Wingate SyDa 95 601 0 14 Sep 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 490 10,496 0 17 Jun 2021
Toxicity Detection: Does Context Really Matter? John Pavlopoulos Jeffrey Scott Sorensen Lucas Dixon Nithum Thain Ion Androutsopoulos 84 166 0 01 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 877 42,379 0 28 May 2020