Computational Linguistics: Academic Discipline — Prolific Citations Library

Explore 5 peer-reviewed papers in Computational Linguistics (2023–2024). Academic research using Prolific for high-quality human data collection.

This page lists 5 peer-reviewed papers in the discipline of Computational Linguistics in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (5 of 5)

Evidence of human-like visual-linguistic integration in multimodal large language models during predictive language processing

Authors: V Kewenig, C Edwards

Year: 2024

Published in: ... and Rechardt, Akilles ..., 2023 - papers.ssrn.com

Research Area: Multimodal AI, Cognitive Science, Visual-Linguistic Integration

Discipline: Artificial Intelligence, Computational Linguistics, Cognitive Science

Citations: 2
MAIA: A benchmark for multimodal AI assessment

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
Spica: Retrieving Scenarios for Pluralistic In-Context Alignment

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
Temporal and second language influence on intra-annotator agreement and stability in hate speech labelling

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
Multimodality and attention increase alignment in natural language prediction between humans and computational models

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