4 citations · 6 across the 3 of their papers we have counts for
3 papers
Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference
Cornelius Kummer, Lena Jurkschat, Michael Färber +1
With the wide adoption of language models for IR -- and specifically RAG systems -- the latency of the underlying LLM becomes a crucial bottleneck, since the long contexts of retri…
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs
Mehdi Ali, Michael Fromm, Klaudia Thellmann +38
We present two multilingual LLMs, Teuken 7B-base and Teuken 7B-instruct, designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European U…
Tokenizer Choice For LLM Training: Negligible or Crucial?
Mehdi Ali, Michael Fromm, Klaudia Thellmann +18
The recent success of Large Language Models (LLMs) has been predominantly driven by curating the training dataset composition, scaling of model architectures and dataset sizes and…