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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Fake News Detection with Large Language Models on the LIAR Dataset
David Boissonneault, Emily Hensen
Research Square (Research Square) (2024)
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Dynamic Supplementation of Federated Search Results for Reducing Hallucinations in LLMs
Jichang Chen, Xinnan Huang, Yongping Li
(2024)
Open Access | Times Cited: 12
Exploiting Privacy Vulnerabilities in Open Source LLMs Using Maliciously Crafted Prompts
Géraud Choquet, Aimée Aizier, Gwenaëlle Bernollin
Research Square (Research Square) (2024)
Open Access | Times Cited: 11
Efficient Large Language Model Inference with Vectorized Floating Point Calculations
Jacob Owens, Skylar Matthews
(2024)
Open Access | Times Cited: 10
Enhancing Inference Efficiency in Large Language Models through Rapid Feed-Forward Information Propagation
Damian Gomez, Julian Escobar
(2024)
Open Access | Times Cited: 9
Augmenting Large Language Models with Reverse Proxy Style Retrieval Augmented Generation for Higher Factual Accuracy
Po-hao Li, Ya-yun Lai
(2024)
Open Access | Times Cited: 6
Implementing Automated Safety Circuit Breakers of Large Language Models for Prompt Integrity
Gaoshan Han, Qingchun Zhang, Baisen Deng, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
Boosting Long-term Factuality in Large Language Model with Real-World Entity Queries
L Davies, Samantha Bellington
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
A Comparative Analysis of Cultural Alignment in Large Language Models in Bilingual Contexts
Ximen Yuan, Jinshan Hu, Qian Zhang
(2024)
Open Access | Times Cited: 4
A Comparative Study of Cultural Hallucination in Large Language Models on Culturally Specific Ethical Questions
Jiajing Zhao, Cheng Huang, X. nuan. Li
Research Square (Research Square) (2024)
Open Access | Times Cited: 4
Unveiling the Role of Feed-Forward Blocks in Contextualization: An Analysis Using Attention Maps of Large Language Models
Michael Tremblay, Sarah J. Gervais, David Maisonneuve
(2024)
Open Access | Times Cited: 4
Improved Value Alignment in Large Language Models Using Variational Best-of-N Techniques
X. Wang, Jinhua Li, Yifan Zhang
Research Square (Research Square) (2024)
Open Access | Times Cited: 4
Large Language Model Understands Chinese Better with Mega Tokenization
Xinyu Lu, Qizhen Wang, Xian Liu
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Evaluating Abstract Reasoning and Problem-Solving Abilities of Large Language Models Using Raven's Progressive Matrices
C. C. Zhang, Liuyun Wang
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Improving Learning Efficiency in Large Language Models through Shortcut Learning
Amane Meibuki, Renshu Nanao, Mugen Outa
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Enhancing Inference Efficiency and Accuracy in Large Language Models through Next-Phrase Prediction
Cegu Vima, H. Bosch, John Harringstone
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Gradual Improvement of Contextual Understanding in Large Language Models via Reverse Prompt Engineering
Sebastian Femepid, Lachlan Hatherleigh, William Kensington
Authorea (Authorea) (2024)
Open Access | Times Cited: 3
Evaluating Large Language Models through the Lens of Linguistic Proficiency and World Knowledge: A Comparative Study
Nathan Atox, Mason Clark
Authorea (Authorea) (2024)
Open Access | Times Cited: 3
A Survey on the Use of Large Language Models (LLMs) in Fake News
Eleftheria Papageorgiou, Christos Chronis, Iraklis Varlamis, et al.
Future Internet (2024) Vol. 16, Iss. 8, pp. 298-298
Open Access | Times Cited: 3
Measuring the IQ of Mainstream Large Language Models in Chinese Using the Wechsler Adult Intelligence Scale
Jingjing Huang, Ou Li
(2024)
Open Access | Times Cited: 2
Mitigating Structural Hallucination in Large Language Models with Local Diffusion
Kizuki Kiritani, Tsumugi Kayano
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Implementing An Automated Socratic Method to Reduce Hallucinations in Large Language Models
Hugo Underwood, Zoe Fenwick
(2024)
Open Access | Times Cited: 2
Implementing Retrieval-Augmented Generation (RAG) for Large Language Models to Build Confidence in Traditional Chinese Medicine
Xingcan Su, Yang Gu
(2024)
Open Access | Times Cited: 1
Assessing the Response Strategies of Large Language Models Under Uncertainty: A Comparative Study Using Prompt Engineering
Nehoda Lainwright, M. Pemberton
(2024)
Open Access | Times Cited: 1
Assessing the Ineffectiveness of Synthetic Reinforcement Learning Feedback in Fine-Tuning Large Language Models
Sojidi Whitmore, C. Harrington, E. Pritchard
(2024)
Open Access | Times Cited: 1
Boosting Domain Knowledge Understanding of LLMs through Fine-Tuning with a Novel KNN Algorithm
Shamu Delgaty, Ethan LeBang
Research Square (Research Square) (2024)
Open Access
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