Large language models (LLMs) have accomplished remarkable reasoning performance in
various domains. However, in the domain of reasoning tasks, we discover a frailty: LLMs are …

While large language models (LLMs) have achieved impressive performance across diverse
tasks, recent studies showcase that causal LLMs suffer from the" reversal curse". It is a …

Neural machine translation (MT) models achieve strong results across a variety of settings,
but it is widely believed that they are highly sensitive to" noisy" inputs, such as spelling …

Existing studies explore the explainability of Grammatical Error Correction (GEC) in a limited
scenario, where they ignore the interaction between corrections and explanations. To bridge …

We introduce LongSkywork, a long-context Large Language Model (LLM) capable of
processing up to 200,000 tokens. We provide a training recipe for efficiently extending …

The advent of transformer architecture revolutionised the field of Artificial Intelligence (AI)
and its various applications. It is only recently that digitalisation of cultural heritage data has …