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Evaluation is all you need. Prompting Generative Large Language Models
  for Annotation Tasks in the Social Sciences. A Primer using Open Models

Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Models

30 December 2023
Maximilian Weber
Merle Reichardt
ArXivPDFHTML

Papers citing "Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Models"

5 / 5 papers shown
Title
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Louis Abraham
Charles Arnal
Antoine Marie
41
1
0
15 Jul 2024
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in
  Classification Tasks
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
Anders Giovanni Møller
Jacob Aarup Dalsgaard
Arianna Pera
L. Aiello
61
33
0
26 Apr 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
1