Loading...
Reconstructive citation context analysis using large language models
Simons, Arno ; Arnaout, Hiba ; Gurevych, Iryna
Simons, Arno
Arnaout, Hiba
Gurevych, Iryna
Files
Loading...
9783839447529-471.pdf
Adobe PDF, 262.41 KB
Supervisor
Department
Natural Language Processing
Embargo End Date
Type
Book chapter
Date
License
Language
Collections
Research Projects
Organizational Units
Journal Issue
Abstract
How are large language models (LLMs) changing research in the history, philosophy, and sociology of science (HPSS)? The contributors to this volume show how these tools open new possibilities for interpretative scholarship while posing fresh challenges for fields that thrive on qualitative methods, nuance, and historical depth. In essays, dialogues, and provocations, they capture a field in motion at a pivotal moment, driven by the rise of AI. These insights speak not only to HPSS scholars but also to readers across the humanities, social sciences, and AI-related fields, positioning HPSS as a bridge for understanding and shaping how LLMs enter research and society.
Citation
A. Simons, H. Arnaout, I. Gurevych, "Reconstructive citation context analysis using large language models," in Understanding Science with Large Language Models?, Transcript Verlag, 2026, pp. 471-492.
Source
Understanding Science with Large Language Models?
Conference
Keywords
47 Language, Communication and Culture, 4702 Cultural Studies
Subjects
Source
Publisher
Transcript Verlag
