2 citations · 2 across the 10 of their papers we have counts for
6 papers · 1 filter
Leveraging Open-Source Large Language Models for Native Language Identification
Yee Man Ng, Ilia Markov
Native Language Identification (NLI) - the task of identifying the native language (L1) of a person based on their writing in the second language (L2) - has applications in forensi…
Panza: Design and Analysis of a Fully-Local Personalized Text Writing Assistant
Armand Nicolicioiu, Eugenia Iofinova, Andrej Jovanovic +6
The availability of powerful open-source large language models (LLMs) opens exciting use-cases, such as using personal data to fine-tune these models to imitate a user's unique wri…
Grounding Toxicity in Real-World Events across Languages
Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
Social media conversations frequently suffer from toxicity, creating significant issues for users, moderators, and entire communities. Events in the real world, like elections or c…
Unknown Script: Impact of Script on Cross-Lingual Transfer
Wondimagegnhue Tsegaye Tufa, Ilia Markov, Piek Vossen
Cross-lingual transfer has become an effective way of transferring knowledge between languages. In this paper, we explore an often overlooked aspect in this domain: the influence o…
Wasserstein Distances, Neuronal Entanglement, and Sparsity
Shashata Sawmya, Linghao Kong, Ilia Markov +2
Disentangling polysemantic neurons is at the core of many current approaches to interpretability of large language models. Here we attempt to study how disentanglement can be used…
Truth-value judgment in language models: 'truth directions' are context sensitive
Stefan F. Schouten, Peter Bloem, Ilia Markov +1
Recent work has demonstrated that the latent spaces of large language models (LLMs) contain directions predictive of the truth of sentences. Multiple methods recover such direction…