4 papers
Classification EM-PCA for clustering and embedding
Zineddine Tighidet, Lazhar Labiod, Mohamed Nadif
The mixture model is undoubtedly one of the greatest contributions to clustering. For continuous data, Gaussian models are often used and the Expectation-Maximization (EM) algorith…
Context Copying Modulation: The Role of Entropy Neurons in Managing Parametric and Contextual Knowledge Conflicts
Zineddine Tighidet, Andrea Mogini, Hedi Ben-younes +3
The behavior of Large Language Models (LLMs) when facing contextual information that conflicts with their internal parametric knowledge is inconsistent, with no generally accepted…
Probing Language Models on Their Knowledge Source
Zineddine Tighidet, Andrea Mogini, Jiali Mei +2
Large Language Models (LLMs) often encounter conflicts between their learned, internal (parametric knowledge, PK) and external knowledge provided during inference (contextual knowl…
Fine-tuning a Subtle Parsing Distinction Using a Probabilistic Decision Tree: the Case of Postnominal "that" in Noun Complement Clauses vs. Relative Clauses
Zineddine Tighidet, Nicolas Ballier
In this paper we investigated two different methods to parse relative and noun complement clauses in English and resorted to distinct tags for their corresponding that as a relativ…