7 papers
The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology
Aideen Fay, Inés GarcÃa-Redondo, Qiquan Wang +2
Existing interpretability methods for Large Language Models (LLMs) predominantly capture linear directions or isolated features. This overlooks the high-dimensional, relational, an…
Rethinking Metrics for Lexical Semantic Change Detection
Roksana Goworek, Haim Dubossarsky
Lexical semantic change detection (LSCD) increasingly relies on contextualised language model embeddings, yet most approaches still quantify change using a small set of semantic ch…
Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling
Yuxuan Liu, Haim Dubossarsky, Ruth Ahnert
This paper examines how science fiction destabilises ontological categories by measuring conceptual permeability across the terms human, animal, and machine using masked language m…
Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Transfer in Sense-Aware Tasks
Roksana Goworek, Haim Dubossarsky
Cross-lingual transfer is central to modern NLP, enabling models to perform tasks in languages different from those they were trained on. A common assumption is that training on mo…
SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods
Roksana Goworek, Harpal Karlcut, Muhammad Shezad +10
This paper addresses the critical need for high-quality evaluation datasets in low-resource languages to advance cross-lingual transfer. While cross-lingual transfer offers a key s…
LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data
Naomi Baes, Raphaël Merx, Nick Haslam +2
Lexical Semantic Change (LSC) provides insight into cultural and social dynamics. Yet, the validity of methods for measuring different kinds of LSC remains unestablished due to the…