5 citations · 8 across the 4 of their papers we have counts for
4 papers
The Constant in HATE: Analyzing Toxicity in Reddit across Topics and Languages
Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
Toxic language remains an ongoing challenge on social media platforms, presenting significant issues for users and communities. This paper provides a cross-topic and cross-lingual…
QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models
Saleh Ashkboos, Ilia Markov, Elias Frantar +5
Large Language Models (LLMs) from the GPT family have become extremely popular, leading to a race towards reducing their inference costs to allow for efficient local computation. Y…
Reasoning about Ambiguous Definite Descriptions
Stefan F. Schouten, Peter Bloem, Ilia Markov +1
Natural language reasoning plays an increasingly important role in improving language models' ability to solve complex language understanding tasks. An interesting use case for rea…
Quantized Distributed Training of Large Models with Convergence Guarantees
Ilia Markov, Adrian Vladu, Qi Guo +1
Communication-reduction techniques are a popular way to improve scalability in data-parallel training of deep neural networks (DNNs). The recent emergence of large language models…