Discover 7 peer-reviewed studies in Computational Linguistics (2023–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 7 peer-reviewed papers in the research area of Computational Linguistics in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
-
Authors: M Steyvers, H Tejeda, A Kumar, C Belem
Year: 2025
Published in: Nature Machine ..., 2025 - nature.com
Institution: University of California Irvine
Research Area: Computational Linguistics, Computational Social Science, AI Ethics, Trust in AI
Discipline: Computational Social Science
LLMs often lead to user overestimation of response accuracy, especially with longer explanations; adjusting explanation styles to align with model confidence improves calibration and discrimination gaps, enhancing trust in AI-assisted decision making.
Methods: Conducted experiments using multiple-choice and short-answer questions to study user confidence versus model-stated confidence; varied explanation length and alignment with model internal confidence.
Key Findings: Calibration gap (human vs. model confidence), discrimination gap (ability to distinguish correct vs. incorrect answers), and effects of explanation style and length on user trust.
Citations: 100
-
Authors: Cameron R. Jones, Benjamin K. Bergen
Year: 2025
Published in: ArXiv
Institution: University of California San Diego
Research Area: Artificial Intelligence, Computational Linguistics, Turing Test, AI Evaluation
Discipline: Artificial Intelligence
GPT-4.5 passed the Turing Test by being misidentified as human 73% of the time, surpassing real humans and other models, marking the first conclusive evidence of an AI achieving this standard.
Methods: Randomised, controlled, pre-registered Turing Test where 5-minute conversations were conducted between human participants and AI systems, followed by judgments on which partner was human.
Key Findings: The ability of AI systems (ELIZA, GPT-4o, LLaMa-3.1-405B, GPT-4.5) to mimic human conversational behavior and be perceived as human.
-
Authors: Yuxin Wang♣ Xiaomeng Zhu◆ Weimin Lyu♠∗ Saeed Hassanpour♣ Soroush Vosoughi♣
Year: 2024
Published in: ArXiv
Institution: Department of Computer Science Dartmouth College, Stony Brook University, Yale University
Research Area: Natural Language Processing, Computational Linguistics
Discipline: Natural Language Processing
-
Authors: D Testa, G Bonetta, R Bernardi
Year: 2024
Published in: Proceedings of the ..., 2025 - aclanthology.org
Institution: Università di Roma La Sapienza, Fondazione Bruno Kessler, University of Pisa
Research Area: Multimodal AI Assessment, Visual Language Models (VLMs), Video Understanding, Computational Linguistics
Discipline: Artificial Intelligence, Computational Linguistics
-
Authors: Quan Ze Chen K.J. Kevin Feng Chan Young Park Amy X. Zhang
Year: 2024
Published in: ArXiv
Institution: University of Washington
Research Area: In-Context Learning, Computational Linguistics, Natural Language Processing
Discipline: Computer Science, Computational Linguistics, Natural Language Processing
-
Authors: G Abercrombie, D Hovy
Year: 2023
Published in: 17th Linguistic ..., 2023 - researchportal.hw.ac.uk
Institution: Heriot Watt University
Research Area: Hate Speech Annotation, Computational Linguistics, Natural language processing (NLP), Annotation
Discipline: Computational Linguistics
DOI: https://doi.org/10.18653/v1/2023.law-1.10
Citations: 23
-
Authors: V Kewenig, A Lampinen, SA Nastase
Year: 2023
Published in: arXiv preprint arXiv ..., 2023 - arxiv.org
Institution: University College London, Princeton University, Exeter University
Research Area: Computational Linguistics, Cognitive Science
Discipline: Computational Linguistics
DOI: https://doi.org/10.48550/arXiv.2308.06035
Citations: 3