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Computational Text Methods & LLMs

Computational Text Methods & LLMs

Nov 02, 20261 min read

Methodological work on integrating large language models into political discourse and content-analysis pipelines, including validation challenges, embedding-model comparisons for clustering news, and human-machine annotation workflows for complex social phenomena.

Papers

  • Achmann-Denkler2026-lx
  • Alizadeh2026-es
  • Allen2025-ot
  • Anwar2024-34dba628
  • Arminio2025-tw
  • Arora2025-tx
  • Bailard2024-pj
  • Balluff2026-if
  • Bollenbacher2026-vz
  • Bouchaud2026-lr
  • Brown2025-jk
  • Bruns2026-pn
  • Costello2024-bg
  • DeVerna2025-dl
  • DiGiuseppe2026-pu
  • Dierickx2026-tw
  • Dubey2026-bl
  • Elfes2026-jb
  • Fan2025-ut
  • Fan2026-af
  • Farjam2026-zg
  • Gardam2025-er
  • Giglietto2024-cbeb3f70
  • Gilardi2026-hw
  • Gomez-Zara2026-as
  • Hackenburg2025-dj
  • Kasianenko2026-tn
  • Kotz2026-lk
  • Lai2024-to
  • Larsson2026-ro
  • Le-Mens2025-qz
  • Lee2026-je
  • Lin2025-xp
  • Marino2024-2fbc690f
  • Matias2025-px
  • Mattis2026-gu
  • Meher2025-qb
  • Miller2026-cp
  • Nguyen2026-vm
  • Ober2026-vd
  • Paci2025-ag
  • Peters2026-mo
  • Rieder2025-ju
  • Sarmiento2025-as
  • Szabo2026-rd
  • Tan2024-vl
  • Triedman2025-uy
  • Waight2025-al
  • Waight2026-ts
  • Zheng2026-bi

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