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Search engines (SEs) have traditionally been primary tools for information seeking, but the new Large Language Models (LLMs) are emerging as powerful alternatives, particularly for question-answering tasks.
Concept-based document readability in domain specific information retrieval
Yan, X., Song, D. & Li, X · 2006
Earlier work this paper cites.
Using internet search engines to obtain medical information: a comparative study
Wang, L. et al · 2012
Earlier work this paper cites.
Integrating understandability in the evaluation of consumer health search engines
Zuccon, G. & Koopman, B · 2014
Earlier work this paper cites.
Diagnose this if you can: on the effectiveness of search engines in finding medical self-diagnosis information
Zuccon, G., Koopman, B. & Palotti, J · 2015
Earlier work this paper cites.
Click Models for Web Search (2015)
Chuklin, A., Markov, I. & de Rijke, M · 2015
Earlier work this paper cites.
Nogueira, R. & Cho, K · 2019
Earlier work this paper cites.
How can we know what language models know?
Jiang, Z., Xu, F. F., Araki, J. & Neubig, G · 2020
Earlier work this paper cites.
Language models are few-shot learners
Brown, T. et al · 2020
Earlier work this paper cites.
Overview of the TREC 2020 Health Misinformation Track
Clarke, C., Maistro, M., Smucker, M. & Zuccon, G · 2020
Earlier work this paper cites.
Retrieval augmented language model pre-training
Guu, K., Lee, K., Tung, Z., Pasupat, P. & Chang, M · 2020
Earlier work this paper cites.
Vera: Prediction techniques for reducing harmful misinformation in consumer health search
Pradeep, R., Ma, X., Nogueira, R. & Lin, J · 2021
Earlier work this paper cites.
Overview of the TREC 2021 Health Misinformation Track
Clarke, C., Maistro, M. & Smucker, M · 2021
Earlier work this paper cites.
Massive data language models and conversational artificial intelligence: Emerging issues
O’Leary, D. E · 2022
Earlier work this paper cites.
Holistic evaluation of language models
Liang, P. et al · 2022
Earlier work this paper cites.
No parameter left behind: How distillation and model size affect zero-shot retrieval
Rosa, G. M. et al · 2022
Earlier work this paper cites.
Reading comprehension quiz generation using generative pre-trained transformers
Dijkstra, R., Genç, Z., Kayal, S., Kamps, J. et al · 2022
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Ouyang, L. et al · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Wei, J. et al · 2022
Earlier work this paper cites.
The flan collection: Designing data and methods for effective instruction tuning
Longpre, S. et al · 2023
Cited alongside, same era.
Sparks of artificial general intelligence: Early experiments with GPT-4
Bubeck, S. et al · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Touvron, H. et al · 2023
Cited alongside, same era.
Mao, K., Dou, Z., Chen, H., Mo, F. & Qian, H · 2023
Cited alongside, same era.
Leveraging large language models in conversational recommender systems
Dr ChatGPT tell me what i want to hear: How different prompts impact health answer correctness
Koopman, B. & Zuccon, G · 2023
Later among the works it cites.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Liu, P. et al · 2023
Later among the works it cites.
Pygaggle: A gaggle of resources for open-domain question answering
Pradeep, R., Chen, H., Gu, L., Tamber, M. S. & Lin, J · 2023
Later among the works it cites.
Gpt-4 technical report
OpenAI · 2023
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Retrieval-based language models and applications
Asai, A., Min, S., Zhong, Z. & Chen, D · 2023
Later among the works it cites.
Search still matters: information retrieval in the era of generative AI
Hersh, W · 2024
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Friedman, L. et al · 2023
Cited alongside, same era.
Polak, M. P. & Morgan, D · 2023
Cited alongside, same era.
The promise and peril of using a large language model to obtain clinical information: ChatGPT performs strongly as a fertility counseling tool with limitations
Chervenak, J., Lieman, H., Blanco-Breindel, M. & Jindal, S · 2023
Cited alongside, same era.
Analysis of large-language model versus human performance for genetics questions
Duong, D. & Solomon, B. D · 2023
Cited alongside, same era.
Evaluating large language models on a highly-specialized topic, radiation oncology physics
Holmes, J. et al · 2023
Cited alongside, same era.
Jahan, I., Laskar, M. T. R., Peng, C. & Huang, J · 2023
Cited alongside, same era.
Evaluation of AI chatbots for patient-specific EHR questions
Hamidi, A. & Roberts, K · 2023
Cited alongside, same era.
Assessing the accuracy of responses by the language model chatgpt to questions regarding bariatric surgery
Samaan, J. S. et al · 2023
Cited alongside, same era.
Investigating patients’ adoption of online medical advice
Wu, B., Liu, Q. B., Guo, X. & Yang, C · 2024
Closest in time.
Clinical information retrieval: A literature review
Sivarajkumar, S. et al · 2024
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A survey on evaluation of large language models
Chang, Y. et al · 2024
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Dynamic Q&A of clinical documents with large language models
Elgedawy, R., Srinivasan, S. & Danciu, I · 2024
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Assessing the performance of chatgpt’s responses to questions related to epilepsy: A cross-sectional study on natural language processing and medical information retrieval
Kim, H.-W., Shin, D.-H., Kim, J., Lee, G.-H. & Cho, J. W · 2024
Closest in time.
Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder
Kim, J. et al · 2024
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Caramancion, K. M · 2024
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ChatGPT-4 performs clinical information retrieval tasks utilizing consistently more trustworthy resources than does Google Search for queries concerning the Latarjet procedure
Oeding, J. F. et al · 2024
Closest in time.
Benchmarking retrieval-augmented generation for medicine
Xiong, G., Jin, Q., Lu, Z. & Zhang, A · 2024
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Towards automated end-to-end health misinformation free search with a large language model
Pradeep, R. & Lin, J · 2024
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Med42-v2: A suite of clinical llms
Christophe, C., Kanithi, P. K., Raha, T., Khan, S. & Pimentel, M. A · 2024
Closest in time.