ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2412.15993
  4. Cited By
Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs
v1v2 (latest)

Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs

20 December 2024
Lynn Greschner
Roman Klinger
ArXiv (abs)PDFHTML

Papers citing "Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs"

21 / 21 papers shown
Title
A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950
A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950
Zhao Fang
Liang-Chun Wu
Xuening Kong
Spencer Dean Stewart
94
0
0
25 Mar 2025
Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks
Yanran Chen
Steffen Eger
106
3
0
24 Feb 2025
TEII: Think, Explain, Interact and Iterate with Large Language Models to
  Solve Cross-lingual Emotion Detection
TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection
Long Cheng
Qihao Shao
Christine Zhao
Sheng Bi
Gina-Anne Levow
42
5
0
27 May 2024
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based
  Deception
Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception
Aswathy Velutharambath
Amelie Wuhrl
Roman Klinger
145
5
0
15 Mar 2024
The Falcon Series of Open Language Models
The Falcon Series of Open Language Models
Ebtesam Almazrouei
Hamza Alobeidli
Abdulaziz Alshamsi
Alessandro Cappelli
Ruxandra-Aimée Cojocaru
...
Quentin Malartic
Daniele Mazzotta
Badreddine Noune
B. Pannier
Guilherme Penedo
AI4TSALM
231
453
0
28 Nov 2023
Can Large Language Models Follow Concept Annotation Guidelines? A Case
  Study on Scientific and Financial Domains
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains
Marcio Fonseca
Shay B. Cohen
ALM
64
6
0
15 Nov 2023
Robust Prompt Optimization for Large Language Models Against
  Distribution Shifts
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
Moxin Li
Wenjie Wang
Fuli Feng
Yixin Cao
Jizhi Zhang
Tat-Seng Chua
OffRL
150
20
0
23 May 2023
ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks
ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks
Fabrizio Gilardi
Meysam Alizadeh
M. Kubli
AI4MH
154
936
0
27 Mar 2023
POTATO: The Portable Text Annotation Tool
POTATO: The Portable Text Annotation Tool
Jiaxin Pei
Aparna Ananthasubramaniam
Xingyao Wang
Naitian Zhou
Jackson Sargent
Apostolos Dedeloudis
David Jurgens
VLM
118
64
0
16 Dec 2022
Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus
  Creation, Annotation Reliability, and Prediction
Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction
Enrica Troiano
Laura Oberländer
Roman Klinger
97
45
0
10 Jun 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
641
4,077
0
24 May 2022
TruthfulQA: Measuring How Models Mimic Human Falsehoods
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie C. Lin
Jacob Hilton
Owain Evans
HILM
174
1,956
0
08 Sep 2021
Emotion Recognition under Consideration of the Emotion Component Process
  Model
Emotion Recognition under Consideration of the Emotion Component Process Model
Felix Casel
Amelie Heindl
Roman Klinger
CVBM
56
13
0
27 Jul 2021
How Many Data Points is a Prompt Worth?
How Many Data Points is a Prompt Worth?
Teven Le Scao
Alexander M. Rush
VLM
210
303
0
15 Mar 2021
Prompt Programming for Large Language Models: Beyond the Few-Shot
  Paradigm
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds
Kyle McDonell
137
932
0
15 Feb 2021
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
1.3K
42,754
0
28 May 2020
IEST: WASSA-2018 Implicit Emotions Shared Task
IEST: WASSA-2018 Implicit Emotions Shared Task
Roman Klinger
Orphée De Clercq
Saif M. Mohammad
A. Balahur
56
61
0
04 Sep 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
S. Kiritchenko
Saif M. Mohammad
FaML
95
442
0
11 May 2018
Argument Strength is in the Eye of the Beholder: Audience Effects in
  Persuasion
Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion
S. Lukin
P. Anand
M. Walker
S. Whittaker
90
109
0
30 Aug 2017
Argumentation Mining in User-Generated Web Discourse
Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
Iryna Gurevych
100
270
0
11 Jan 2016
From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels
  and Fairy Tales
From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales
Saif M. Mohammad
67
194
0
23 Sep 2013
1