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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

Bastián González-Bustamante
ArXiv (abs)PDFHTML

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
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
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
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
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
OffRLAI4TSAI4CEALMAIMat
490
10,496
0
17 Jun 2021
Toxicity Detection: Does Context Really Matter?
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
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

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