30 citations · 44 across the 6 of their papers we have counts for
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cs.CL2026
Turnslide: Scalable Multi-Turn Data Synthesis by Walking a Finite-State Machine
Aaron Fainman, Gabriela Kadlecová, Maciej Gryka +7
Small language models are inexpensive to serve and can run on private infrastructure, but base models are often not good enough at multi-turn tool calling, and fine-tuning them nee…
cs.CL2023
Geographical Erasure in Language Generation
Pola Schwöbel, Jacek Golebiowski, Michele Donini +2
Large language models (LLMs) encode vast amounts of world knowledge. However, since these models are trained on large swaths of internet data, they are at risk of inordinately capt…