Large Language Models and Literature

Daniel Dooghan is Professor of English and Writing at the University of Tampa. His recent publications include work on English translations of the modern Chinese writer Lu Xun and philological approaches to video games.

Tyne Daile Sumner is an Australian Research Council Fellow in English and Digital Humanities at the Australian National University. She has expertise in C20th and C21st anglophone literatures, surveillance studies, and interdisciplinary approaches to AI. Her first book is Lyric Eye: The Poetics of Twentieth-Century Surveillance is she is co-editor of the recent volume, Small Data is Beautiful. Forthcoming publications include articles on digital platforms and literary subjectivity, infrastructural poetics, and cultural representations of AI border regimes and environmental surveillance. 

Christian is a Research Fellow at Macquarie University. He completed his PhD in 2022 at the University of Cambridge. His work has appeared or is forthcoming in Modernism/modernity, Literature and Medicine, Australian Humanities Review, Psychoanalysis and History, Oxford Handbook of Literature and Science and elsewhere. He is the co-author of Mallarmé: Rancière, Milner, Badiou (Rowman & Littlefield) and The Search for a Science of Verse (under review, Cambridge University Press).

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James Draney is a Visiting Assistant Professor in the Writing Program at Haverford College. He received a PhD in English from Duke University, and is at work on a monograph about contemporary literature and big data. His work has been published in PMLA, NOVEL: A Forum on Fiction, and the Journal of Modern Literature.

Aaron R. Hanlon is an associate professor of English and affiliated faculty in Science, Technology, and Society at Colby College. He is the author of _Empirical Knowledge in the Eighteenth-Century Novel (Cambridge UP, 2022), _A World of Disorderly Notions: Quixote and the Logic of Exceptionalism (U of Virginia P, 2019), and co-editor of British Literature and Technology, 1600-1830 (Bucknell UP, 2023).

Tessa Haining is a graduate student in the Faculty of Medieval and Modern Languages at the University of Oxford. Her research intersects science and literature as methods of inquiry into ourselves and the world around us. She received an A.B. summa cum laude from Harvard College in Chemistry and Comparative Literature, and prior to postgraduate work in the humanities, she worked for four years in computational and systems biology research at Harvard and the Massachusetts Institute of Technology.

Matthew Kilbane is the Glynn Family Honors Assistant Professor of English at the University of Notre Dame, where he teaches and writes about modern and contemporary poetry in the U.S., literature and music, the history of sound technologies, and digital literary cultures. He is the author of The Lyre Book: Modern Poetic Media (Johns Hopkins University Press, 2024), which received the Northeast Modern Language Association Book Award, and the editor of the forthcoming volume Expressive Networks: Poetry and Platform Cultures (Amherst College Press, 2025).

Peiqi "Patrick" Sui is a second-year PhD student in English at McGill University. He mainly works in digital humanities & cultural analytics, and spends most of his time thinking about how literary studies could uniquely contribute to AI research about language. His current research topics include computational models of close reading (and bridging its gap with distant reading), AI literacy & writing pedagogy, co-creative systems for democratizing peotry writing, and all kinds of literary theory.

Nina Beguš is a researcher and lecturer at UC Berkeley. Her upcoming monograph, Artificial Humanities: A Fictional Perspective on Language in AI (2025), makes a case to include humanistic knowledge into the AI development.