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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.

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Showing 22 citing articles:

Reducing LLM Hallucination Using Knowledge Distillation: A Case Study with Mistral Large and MMLU Benchmark
Daniel McDonald, Rachael Papadopoulos, Leslie Benningfield
(2024)
Open Access | Times Cited: 20
Reducing Hallucinations in Large Language Models Through Contextual Position Encoding
Sarah Desrochers, James Wilson, Matthew Beauchesne
(2024)
Open Access | Times Cited: 20
Evaluation of Transfer Learning and Adaptability in Large Language Models with the GLUE Benchmark
N. Sulaiman, Farizal Hamzah
(2024)
Open Access | Times Cited: 17
Efficiently Updating Domain Knowledge in Large Language Models: Techniques for Knowledge Injection without Comprehensive Retraining
Emily Czekalski, D.C. Watson
Research Square (Research Square) (2024)
Open Access | Times Cited: 16
Evaluating Privacy Compliance in Commercial Large Language Models - ChatGPT, Claude, and Gemini
Oliver Cartwright, H. Flanders Dunbar, Theo Radcliffe
Research Square (Research Square) (2024)
Open Access | Times Cited: 13
Cross-Domain Knowledge Transfer without Retraining to Facilitating Seamless Knowledge Application in Large Language Models
Jae Hoon Kim, Hye Rin Kim
Research Square (Research Square) (2024)
Open Access | Times Cited: 12
A Longchain Approach to Reduce Hallucinations in Large Language Models
Jinchao Li, Quan Hong
Research Square (Research Square) (2024)
Open Access | Times Cited: 12
Benchmarking the Hallucination Tendency of Google Gemini and Moonshot Kimi
Ruoxi Shan, Qiang Ming, Guang Hong, et al.
(2024)
Open Access | Times Cited: 9
Knowledge Accuracy and Reducing Hallucinations in LLMs via Dynamic Domain Knowledge Injection
Roman Capellini, Frank Atienza, Melanie Sconfield
Research Square (Research Square) (2024)
Open Access | Times Cited: 9
Improving Generalization Beyond Training Data with Compositional Generalization in Large Language Models
Wong Ho-tin, Gar-lai Yip
(2024)
Open Access | Times Cited: 8
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
Benchmarking Llama 3 for Chinese News Summation: Accuracy, Cultural Nuance, and Societal Value Alignment
Tianxuan Lu, Jin Hu, P Chen
(2024)
Open Access | Times Cited: 3
Game-Theoretic Approaches for Step-wise Controllable Text Generation in Large Language Models
Daniel Sefeni, Michael Johnson, Joshua Lee
Authorea (Authorea) (2024)
Closed Access | Times Cited: 3
Fine-tuning Llama with Case Law Data to Improve Legal Domain Performance
Nolan Satterfield, P. W. Holbrook, Thomas Wilcox
(2024)
Open Access | Times Cited: 2
Large Language Models with Knowledge Domain Partitioning for Specialized Domain Knowledge Concentration
Xijun Gong, Minghui Liu, Xinru Chen
(2024)
Open Access | Times Cited: 2
Evaluating the Quality of Large Language Model-Generated Cybersecurity Advice in GRC Settings
Zhiyuan Li, Xiaoxi Wang, Qingxiang Zhang
Research Square (Research Square) (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
Enhancing Inference Accuracy of Llama LLM using Reversely Computed Dynamic Temporary Weights
Qiruo Xin, Quandong Nan
(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
A Longchain Approach to Reduce Hallucinations in Large Language Models
Jinchao Li, Quan Hong
(2024)
Open Access
Cross-Lingual Factual Accuracy and Ideological Divergence in Large Language Models
Cheng-en Tsai, Mei-chi Huang
(2024)
Open Access
Evaluating the Multilingual Differences of ChatGPT and Google Gemini on the MMLU Dataset Translated into Thai
Pattara Chaikiatsri, Siriwan Rattanasopon
(2024)
Open Access
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