Paper-Conference

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 …

We present our systems for the NADI 2025 shared task on multidialectal Arabic speech processing, participating in both spoken dialect …

Autoregressive large language models (LLMs) exhibit impressive performance across various tasks but struggle with simple arithmetic, …

Large Language Models (LLMs) are increasingly used to generate synthetic textual data for training smaller specialized models. However, …

Common ground plays a crucial role in human communication since it helps to establish shared knowledge. However, common ground is also …

In our era of widespread false information, human fact-checkers often face the challenge of duplicating efforts when verifying claims …