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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:

Combining LoRA to GPT-Neo to Reduce Large Language Model Hallucination
Shi-han Huang, Chia-Yu Chen
Research Square (Research Square) (2024)
Open Access | Times Cited: 15

Showing 15 citing articles:

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
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
Mitigating Hallucinations in Large Language Models with Sliding Generation and Self-Checks
F. EUGENE HARRINGTON, Elliot Rosenthal, Miles Swinburne
(2024)
Open Access | Times Cited: 4
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
Comparative Analysis of Finetuning Strategies and Automated Evaluation Metrics for Large Language Models in Customer Service Chatbots
Benjamin Ilse, Frederick Blackwood
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Detecting LLM Hallucinations Using Monte Carlo Simulations on Token Probabilities
Grant Ledger, Rafael Mancinni
(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
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
Optimizing LLM Inference Clusters for Enhanced Performance and Energy Efficiency
Soka Hisaharo, Yuki Nishimura, Aoi Takahashi
(2024)
Open Access | Times Cited: 1
Optimizing Large Language Model Scaling with Micro Batch Pipeline and Inference Parallelism
Doudou Quan, R. Wang, Zhu Lian, et al.
Research Square (Research Square) (2024)
Open Access
Growing Smaller Language Models Using Knowledge Distillation from Larger Models
Michael Featherstone, Emily Cuthbertson, David Appleyard, et al.
(2024)
Open Access
Enhancing Contextual Understanding in Large Language Models with Dynamic Dependency Structures: A Methodological Approach
Maki Ito, H Nishikawa, Yuna Sakamoto
Research Square (Research Square) (2024)
Open Access
Large Language Model and Digital Twins Empowered Asynchronous Federated Learning for Secure Data Sharing in Intelligent Labeling
Xuanzhu Sheng, Chao Yu, Xiaolong Cui, et al.
Mathematics (2024) Vol. 12, Iss. 22, pp. 3550-3550
Open Access
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