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2303.15056
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ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
27 March 2023
Fabrizio Gilardi
Meysam Alizadeh
M. Kubli
AI4MH
Re-assign community
ArXiv (abs)
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Papers citing
"ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks"
50 / 301 papers shown
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Measuring Diversity in Synthetic Datasets
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Bingzhe Wu
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460
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12 Feb 2025
AI Alignment at Your Discretion
Conference on Fairness, Accountability and Transparency (FAccT), 2025
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Hadi Khalaf
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Flavio du Pin Calmon
337
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10 Feb 2025
Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy
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298
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Thomas Zeng
Shuibai Zhang
Shutong Wu
Christian Classen
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Jungtaek Kim
H. Koo
Kannan Ramchandran
Dimitris Papailiopoulos
Kangwook Lee
LRM
336
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10 Feb 2025
Few-shot LLM Synthetic Data with Distribution Matching
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Zhaocheng Du
Zhihao Wen
Qinglin Jia
Sunhao Dai
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Zhenhua Dong
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445
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09 Feb 2025
Fg-T2M++: LLMs-Augmented Fine-Grained Text Driven Human Motion Generation
International Journal of Computer Vision (IJCV), 2025
Yin Wang
Mu Li
Jiapeng Liu
Zhiying Leng
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Ziyao Zhang
Xiaohui Liang
258
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08 Feb 2025
Aligning Black-box Language Models with Human Judgments
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
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Murat Sensoy
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313
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07 Feb 2025
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850
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438
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Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration
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Chunyang Xiao
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Fran Silavong
266
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LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
Tongshuang Wu
Haiyi Zhu
Maya Albayrak
Alexis Axon
Amanda Bertsch
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Ying-Jui Tseng
Patricia Vaidos
Zhijin Wu
Wei Wu
Chenyang Yang
566
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10 Jan 2025
Predictable Artificial Intelligence
Lexin Zhou
Pablo Antonio Moreno Casares
Fernando Martínez-Plumed
John Burden
Ryan Burnell
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Seán Ó hÉigeartaigh
Danaja Rutar
Wout Schellaert
Konstantinos Voudouris
José Hernández-Orallo
513
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LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
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J. Eisner
Corby Rosset
Benjamin Van Durme
Chris Kedzie
481
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03 Jan 2025
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Weiwei Sun
Lingyong Yan
Xinyu Ma
Shuaiqiang Wang
Sudipta Singha Roy
Zhumin Chen
D. Yin
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31 Dec 2024
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214
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Roman Klinger
390
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Empowering LLMs to Understand and Generate Complex Vector Graphics
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Ximing Xing
Juncheng Hu
Guotao Liang
Jing Zhang
Dong Xu
Qian Yu
556
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15 Dec 2024
A Scoping Review of ChatGPT Research in Accounting and Finance
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Mengming Michael Dong
Theophanis C. Stratopoulos
Victor Xiaoqi Wang
306
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07 Dec 2024
Large corpora and large language models: a replicable method for automating grammatical annotation
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Matti Marttinen Larsson
349
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18 Nov 2024
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Tomas Horych
Christoph Mandl
Terry Ruas
André Greiner-Petter
Bela Gipp
Akiko Aizawa
Timo Spinde
552
15
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17 Nov 2024
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale
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Bilal Fadlallah
135
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552
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Jiawei Li
Jiecheng Deng
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Iftekhar Ahmed
350
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03 Nov 2024
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
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John Wu
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Jimeng Sun
459
1
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31 Oct 2024
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
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Hexuan Deng
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Xuebo Liu
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258
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28 Oct 2024
PRISM: A Methodology for Auditing Biases in Large Language Models
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222
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Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
Omer Nahum
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Orgad Keller
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Roi Reichart
280
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24 Oct 2024
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Li Siyan
Vethavikashini Chithrra Raghuram
Omar Khattab
Julia Hirschberg
Zhou Yu
450
30
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22 Oct 2024
De-mark: Watermark Removal in Large Language Models
Ruibo Chen
Yihan Wu
Junfeng Guo
Heng Huang
WaLM
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325
8
0
17 Oct 2024
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Zonghai Yao
Aditya Parashar
Huixue Zhou
Won Seok Jang
Feiyun Ouyang
Zhichao Yang
Hong-ye Yu
ELM
428
16
0
17 Oct 2024
Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data
International Conference on Learning Representations (ICLR), 2024
Florian E. Dorner
Vivian Y. Nastl
Moritz Hardt
ELM
ALM
417
23
0
17 Oct 2024
EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMs
International Conference on Computational Linguistics (COLING), 2024
Yijie Li
Yuan Sun
ELM
156
1
0
13 Oct 2024
JurEE not Judges: safeguarding llm interactions with small, specialised Encoder Ensembles
Dom Nasrabadi
346
2
0
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RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
International Conference on Learning Representations (ICLR), 2024
Qiyuan Zhang
Yufei Wang
Tiezheng YU
Yuxin Jiang
Chuhan Wu
...
Xin Jiang
Lifeng Shang
Ruiming Tang
Fuyuan Lyu
Chen Ma
395
14
0
07 Oct 2024
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
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Dan Goldwasser
597
8
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Hate Personified: Investigating the role of LLMs in content moderation
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Viktor Hangya
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Tanmoy Chakraborty
213
20
0
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'Simulacrum of Stories': Examining Large Language Models as Qualitative Research Participants
International Conference on Human Factors in Computing Systems (CHI), 2024
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William Agnew
Motahhare Eslami
Hoda Heidari
Sarah E Fox
226
19
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28 Sep 2024
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment
European Conference on Computer Vision (ECCV), 2024
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Keqin Li
Wentao Bao
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Martin Renqiang Min
Dimitris N. Metaxas
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297
5
0
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269
6
0
19 Sep 2024
What Would You Ask When You First Saw
a
2
+
b
2
=
c
2
a^2+b^2=c^2
a
2
+
b
2
=
c
2
? Evaluating LLM on Curiosity-Driven Questioning
Shashidhar Reddy Javaji
Zining Zhu
ELM
ALM
350
1
0
19 Sep 2024
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
Yifan Wang
David Stevens
Pranay Shah
Wenwen Jiang
Miao Liu
...
Boying Gong
Daniel Lee
Jiabo Hu
Ning Zhang
Bob Kamma
247
5
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16 Sep 2024
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International Conference on Web and Social Media (ICWSM), 2024
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Samuel Wolken
308
13
0
14 Sep 2024
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Andrea Tagarelli
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169
2
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13 Sep 2024
Your Weak LLM is Secretly a Strong Teacher for Alignment
International Conference on Learning Representations (ICLR), 2024
Leitian Tao
Yixuan Li
583
15
0
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Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources
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Jane Dwivedi-Yu
Jason Weston
Jakob Foerster
Roberta Raileanu
Maria Lomeli
SyDa
443
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HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
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Lea Schönherr
Thorsten Holz
Mario Fritz
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SyDa
157
8
0
10 Sep 2024
Content Moderation by LLM: From Accuracy to Legitimacy
Artificial Intelligence Review (Artif Intell Rev), 2024
Tao Huang
AILaw
375
23
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05 Sep 2024
Can Unconfident LLM Annotations Be Used for Confident Conclusions?
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Kristina Gligorić
Tijana Zrnic
Cinoo Lee
Emmanuel J. Candès
Dan Jurafsky
400
33
0
27 Aug 2024
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