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Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration
Balloccu, S., Reiter, E., Li, K. J., Sargsyan, R., Kumar, V., Reforgiato, D., Riboni, D., Dusek, O.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
- Digital Object Identifier
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https://doi.org/10.18653/v1/2024.findings-emnlp.674
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/24685/1/Balloccu_etal_ACL_Ask_The_Experts_VoR.pdf
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Natural Language Generation
Reiter, E.
Springer. 202 pages
Books and Reports: Books
- Digital Object Identifier
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https://doi.org/10.1007/978-3-031-68582-8
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Towards LLM-driven Automated Verification of Best Practices in Digital Public Infrastructures
Markovic, M., Sripada, S., Chakrabart, S. K., Diddigi, R. B.
Contributions to Conferences: Papers
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/24417/1/Markovic_etal_SICSA_Towards_LLM_Driven_AAM.pdf
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A Comparative Analysis of Metaphorical Cognition in ChatGPT and Human Minds
Mao, R., Chen, G., Li, X., Ge, M., Cambria, E.
Cognitive Computation
Contributions to Journals: Articles
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Do Language Models Exhibit Human-like Structural Priming Effects?
Jumelet, J., Zuidema, W., Sinclair, A.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
- Digital Object Identifier
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https://doi.org/10.18653/v1/2024.findings-acl.877
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/24554/1/Jumelet_etal_ACL62_Do_Language_Models_VOR.pdf
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View publication in Scopus
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Caregiver modelling and feedback in the context of early questions
Heim, J., Bala, M., Sinclair, A.
Contributions to Conferences: Papers
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/23919/2/CLS24_Heim_et_al_Caregiver_modelling_and_feedback.pdf
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Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo
Sundararajan, B., Sripada, S., Reiter, E.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
- Online
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https://aclanthology.org/2024.naacl-long.408.pdf
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View publication in Scopus
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Common Flaws in Running Human Evaluation Experiments in NLP
Thomson, C., Reiter, E., Belz, A.
Computational Linguistics, vol. 50, no. 2, pp. 795–805
Contributions to Journals: Articles
- Digital Object Identifier
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https://doi.org/10.1162/coli_a_00508
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/23764/1/Thomson_etal_CL_Common_Flaws_in_VOR.pdf
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https://abdn.elsevierpure.com/en/publications/bdae6575-848e-4639-ae80-0a7f6dbe0f02
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Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
Li, R., Gao, Y.
Working Papers and Discussion Papers
- Online
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file:///C:/Users/s01gv9/Downloads/2405.03205v2.pdf
- Digital Object Identifier
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https://doi.org/10.48550/arXiv.2405.03205
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Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models
Hu, Y., Chen, C., Qin, C., Zhu, Q., Chng, E. S., Li, R.
Working Papers and Discussion Papers
- Digital Object Identifier
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https://doi.org/10.48550/arXiv.2405.10025
