<span style='color: #B57EDC;'>Yifan Wu</span>

Yifan Wu

she/her

2nd-year PhD student in Ling @ Cornell, psycholing, comp ling, and semantics/pragmatics.

Posts by Collection

portfolio

publications

Edited Volumes

:scroll: Proceedings of the 34th Semantics and Linguistic Theory (SALT 2024). University of Rochester.

Conference Proceedings

:bookmark_tabs: Yifan Wu and Helena Aparicio (To appear). First-person metalinguistic disagreements update the standard of precision, both up and down. Proceedings of the 35th Semantics and Linguistic Theory (SALT 2025).
:bookmark_tabs: Yifan Wu and Helena Aparicio (2025). Meaning adaptation in the discourse dynamics of imprecision. Proceedings of the 47th annual meeting of the Cognitive Science Society (CogSci 2025). Paper.
:bookmark_tabs: Yifan Wu and Helena Aparicio (2025). Disagreements do not automatically raise the standard of precision. Proceedings of the 3rd Experiments in Linguistic Meaning (ELM 2024), 3, 435–446. Paper.

talks

Conference Posters

:clipboard: Presenter: Yifan Wu. First-person metalinguistic disagreements update the standard of precision, both up and down. In the 35th Semantics and Linguistic Theory (SALT 2025), May, 2025. Poster (12.6% accept).
:clipboard: Presenter: Yifan Wu. Disagreements do not automatically raise the standard of precision. In the 37th Annual Conference on Human Sentence Processing (HSP 2024), May, 2024. Poster.

Conference Talks

:microphone: Presenter: Yifan Wu. First-person disagreements update the standard of precision, both up and down. In the 11th Experimental Pragmatics Conference (XPrag 2025), Forthcoming in Sep, 2025. Talk (11.5% oral).
:microphone: Presenter: Yifan Wu. Meaning adaptation in the discourse dynamics of imprecision. In the 47th annual meeting of the Cognitive Science Society (CogSci 2025), Forthcoming in Jul, 2025. Talk (13.8% oral).
:microphone: Presenter: Yifan Wu. Disagreements do not automatically update the standard of precision. In the 3rd Experiments in Linguistic Meaning (ELM 2024), Jun, 2024. Talk (14.7% oral).

teaching