TEXTS_COMPUTATION_CriticalTheory
I study how computational systems reorganize knowledge and interpretation, situating contemporary language models within longer histories of textual mediation and material infrastructure. My work also uses computational methods to reveal literary patterns and the social and institutional forces that shape the field.
Selected Work
All Projects / Writings →
Small-Corpus-Guided Steering of Base Model Generation
Using RAG and activation steering to measurably shift a base LLM's generative register toward a 58-text corpus of Taiwanese queer literature, with no fine-tuning required.
General Map of the Literary Encounter
A conceptual map charting the full architecture of what constitutes a literary encounter, medium, text, intertextuality, reader, the encounter, and emergence, as a scaffold for a federated computational approach to literature.
Reading Stance Parameterized: LLM Agents as Proxies for the Literary Encounter
Parameterizing LLM agents with contrastive reading stances to test whether differently oriented readers produce measurably different readings of the same text.
Computational Analysis on Machine Consciousness in Science Fiction
Building and examining a 115-text full-text science fiction corpus with Topic Modeling, SBERT Embeddings + UMAP Clustering, Zero-Shot Classification, and Emotion Detection.
LLM Style Observatory
An interactive dashboard comparing stylometric signatures across GPT-4o, Claude, Gemini, and local models, asking whether LLMs carry stable, architecturally determined writing styles.
Open Research Assistant
A multi-source research tool that aggregates open archives and academic APIs to find where a text's full version actually lives, with an optional LLM-generated reading list mode.