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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:

Evaluating Verifiability in Generative Search Engines
Nelson F. Liu, Tianyi Zhang, Percy Liang
(2023)
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Contrasting Linguistic Patterns in Human and LLM-Generated Text
Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares
arXiv (Cornell University) (2023)
Open Access | Times Cited: 5
Does ChatGPT Help Us Understand the Medical Literature?
Kevin V. Lemley
Journal of the American Society of Nephrology (2023) Vol. 35, Iss. 2, pp. 232-233
Open Access | Times Cited: 5
Artificial Intelligence: A Kalam and Sufi Perspective
Ashkan Khalili
(2024)
Open Access | Times Cited: 1
Measuring performance of metasearch engines to access information: an exploratory study based on precision metrics
Raj Kumar Bhardwaj, Ritesh Kumar, Mohammad Nazim
Performance Measurement and Metrics (2024) Vol. 25, Iss. 1, pp. 23-42
Closed Access | Times Cited: 1
LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction
Yucheng Li, Frank Guérin, Chenghua Lin
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 18600-18607
Open Access | Times Cited: 1
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Xinshuo Hu, Dongfang Li, Baotian Hu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18252-18260
Open Access | Times Cited: 1
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge, Judy Hanwen Shen, Nicole Meister, et al.
(2024), pp. 665-683
Open Access | Times Cited: 1
Using AI to Assess the Decision-Usefulness of Corporates' Nature-related Disclosures
Chiara Colesanti Senni, Saeid Ashraf Vaghefi, Tobias Schimanski, et al.
(2024)
Closed Access | Times Cited: 1
Towards ‘augmented sociology’? A practice-oriented framework for using large language model-powered chatbots
Mark Friis Hau
Acta Sociologica (2024)
Closed Access | Times Cited: 1
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Sina J. Semnani, Violet Z. Yao, Heidi C. Zhang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 4
How experts and novices judge other people’s knowledgeability from language use
Alexander H. Bower, Nicole Han, Ansh Soni, et al.
Psychonomic Bulletin & Review (2024) Vol. 31, Iss. 4, pp. 1627-1637
Open Access | Times Cited: 1
PubMed and Beyond: Biomedical Literature Search in the Age of Artificial Intelligence
Qiao Jin, Robert Leaman, Zhiyong Lu
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
Hao Fang, Anusha Balakrishnan, Harsh Jhamtani, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 5682-5700
Open Access | Times Cited: 2
Concise Answers to Complex Questions: Summarization of Long-form Answers
Abhilash Potluri, Fangyuan Xu, Eunsol Choi
(2023), pp. 9709-9728
Open Access | Times Cited: 2
A Diachronic Perspective on User Trust in AI under Uncertainty
Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El‐Assady, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 5567-5580
Open Access | Times Cited: 2
KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection
Se-Hyun Choi, Tianqing Fang, Zhaowei Wang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 2
Self-explanatory Retrieval-Augmented Generation for SDG Evidence Identification
Darío Garigliotti
Lecture notes in computer science (2024), pp. 124-132
Closed Access
Generating Evaluation Criteria of Domain-Specific Large Language Model Using Word Vector Clustering
Jingyu Yang, Xu Hao, Rongxiao Wang, et al.
(2024), pp. 94-100
Closed Access
Artificial Intelligence: A Kalam and Sufi Perspective
Ashkan Khalili
(2024)
Open Access
Chain-of-Thought Improves Text Generation with Citations in Large Language Models
Bin Ji, Huijun Liu, Mingzhe Du, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 16, pp. 18345-18353
Open Access
Opening a conversation on responsible environmental data science in the age of large language models
Ruth Y. Oliver, Melissa Chapman, Nathan Emery, et al.
Environmental Data Science (2024) Vol. 3
Open Access
Plausibel, aber unwahr: Sozialisation und Wahrscheinlichkeitspapageien
Jacqueline Bellon
Techno:Phil (2024), pp. 145-176
Closed Access
Enhancing LLM’s Reliability by Iterative Verification Attributions with Keyword Fronting
Yize Sui, Ren Jing, Huibin Tan, et al.
Lecture notes in computer science (2024), pp. 251-268
Closed Access
Generative AI Search Engines as Arbiters of Public Knowledge: An Audit of Bias and Authority
Alice Li, Luanne Sinnamon
Proceedings of the Association for Information Science and Technology (2024) Vol. 61, Iss. 1, pp. 205-217
Closed Access
ChatGrid: Intelligent Knowledge Q&A for Power Dispatching Control Based on Large Language Models and Retrieval-augmented Generation
Mingjian Ni, Jing Zhang, Cong Fu, et al.
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) (2024), pp. 921-925
Closed Access

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