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ORCIDYan Cong
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2020 – today
- 2026
[j5]Yan Cong
, Jingying Hu, Timothy Reese, Hui Liu:
How robust are linguistic markers of aging? The case of aging-related social media text. Nat. Lang. Process. J. 14: 100203 (2026)- [c12]Trisha Godara, Rui He, Wolfram Hinzen, Yan Cong:
Exploring the Semantic Space of Second Language Learners. EACL (Student Research Workshop) 2026: 332-346 - 2025
- [j4]Yan Cong:
Demystifying large language models in second language development research. Comput. Speech Lang. 89: 101700 (2025) - [j3]Yan Cong, Jiyeon Lee:
Tracking priming-induced language recovery in aphasia with pre-trained language models. Frontiers Artif. Intell. 8 (2025) - [c11]Yan Cong, Yichen Lv, Jia Tang, Haoli Wang, Hongyu Zhou, Lanlan Chen, Yao Xu, Xin Wang, Yu Yang:
Discovering Brain Functional Connectivity in Parkinson's Disease from Graph Mining Perspectives. BESC (2) 2025: 366-378 - [c10]Yan Cong, Julia Rayz:
Language models demonstrate the good-enough processing seen in humans. CogSci 2025 - [c9]Shaohua Fang, Yue Li, Yan Cong:
Understanding Quantifier Scope with Large Language Models: How Many Children Climbed Trees? CogSci 2025 - [i2]Shaohua Fang, Yue Li, Yan Cong:
Quantifier Scope Interpretation in Language Learners and LLMs. CoRR abs/2509.10860 (2025) - 2024
- [j2]Yan Cong:
AI Language Models: An Opportunity to Enhance Language Learning. Informatics 11(3): 49 (2024) - [c8]Yan Cong, Jiyeon Lee, Arianna LaCroix:
Leveraging pre-trained large language models for aphasia detection in English and Chinese speakers. ClinicalNLP@NAACL 2024: 238-245 - [c7]Pranav A, Yan Cong, Emmanuele Chersoni, Yu-Yin Hsu, Alessandro Lenci:
Comparing Static and Contextual Distributional Semantic Models on Intrinsic Tasks: An Evaluation on Mandarin Chinese Datasets. LREC/COLING 2024: 3610-3627 - 2023
- [j1]Yan Cong, Baojun Wang, Taili Du:
Simulation Experiment and Teaching Research of a Land-Based Ship Engine Room. Int. J. Inf. Commun. Technol. Educ. 19(1): 1-9 (2023) - [c6]Yan Cong, Emmanuele Chersoni, Yu-Yin Hsu, Philippe Blache:
Investigating the Effect of Discourse Connectives on Transformer Surprisal: Language Models Understand Connectives, Even So They Are Surprised. BlackboxNLP@EMNLP 2023: 222-232 - [c5]Yan Cong, Masao Takaku:
Enhancing the Learning of Chinese Poem Creation Through an Auto-Generation and Evaluation System. ICADL (1) 2023: 3-17 - [c4]Yan Cong, Emmanuele Chersoni, Yu-Yin Hsu, Alessandro Lenci:
Are Language Models Sensitive to Semantic Attraction? A Study on Surprisal. *SEM@ACL 2023: 141-148 - 2021
- [c3]Lalchand Pandia, Yan Cong, Allyson Ettinger:
Pragmatic competence of pre-trained language models through the lens of discourse connectives. CoNLL 2021: 367-379 - [c2]Yan Cong:
Research on the Construction of English Translation Corpus Based on Network Electronic Technology. ICISCAE (ACM) 2021: 1152-1156 - [i1]Lalchand Pandia, Yan Cong, Allyson Ettinger:
Pragmatic competence of pre-trained language models through the lens of discourse connectives. CoRR abs/2109.12951 (2021)
2010 – 2019
- 2015
- [c1]Yan Cong, Chu-Ren Huang, Lian-Hee Wee:
The Invertible Construction in Chinese. PACLIC 2015
Coauthor Index
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