Paper-Conference

Large language models (LLMs) are increasingly used across diverse linguistic and cultural contexts, yet their cultural knowledge …

Sparse autoencoders (SAEs) enable feature-level mechanistic interpretability and activation steering in large language models (LLMs), …

Determining the factual status of biomedical statements, whether affirmed, negated, or uncertain, is essential for accurate …

Hallucination, where models generate fluent text unsupported by visual evidence, remains a major flaw in vision–language models and is …

Understanding and controlling the behavior of large language models (LLMs) is an increasingly important topic in multilingual NLP. …

While recent work has begun to uncover the internal strategies that Large Language Models (LLMs) employ for simple arithmetic tasks, a …

Large language models (LLMs) exhibit strong multilingual abilities, yet the neural mechanisms behind language-specific processing …

Large language models (LLMs) are increasingly used in everyday tools and applications, raising concerns about their potential influence …

In this paper, we combine two-step knowledge distillation, structured pruning, truncation, and vocabulary trimming for extremely …

Multilingual language models excel across languages, yet how they internally encode grammatical tense remains largely unclear. We …