With the rise of Large Language Models (LLMs) in recent years, new opportunities are
emerging, but also new challenges, and contamination is quickly becoming critical …

Machine learning (ML) technologies have become substantial in practically all aspects of
our society, and data quality (DQ) is critical for the performance, fairness, robustness, safety …

GUIs have long been central to human-computer interaction, providing an intuitive and
visually-driven way to access and interact with digital systems. The advent of LLMs …

The impressive performance of Large Language Models (LLMs) has consistently surpassed
numerous human-designed benchmarks, presenting new challenges in assessing the …

The rapid development of large language models (LLMs) has been witnessed in recent
years. Based on the powerful LLMs, multi-modal LLMs (MLLMs) extend the modality from …

Recent studies customizing Multimodal Large Language Models (MLLMs) for domain-
specific tasks have yielded promising results, especially in the field of scientific chart …

Conclusion This letter investigates the sample efficiency property of recommender systems
enhanced by large language models. We propose a simple yet effective framework (ie …

As NLP models become more complex, understanding their decisions becomes more
crucial. Counterfactuals (CFs), where minimal changes to inputs flip a model's prediction …

In recent years, large language models (LLMs) have been widely adopted in political
science tasks such as election prediction, sentiment analysis, policy impact assessment, and …

Language has long been conceived as an essential tool for human reasoning. The
breakthrough of Large Language Models (LLMs) has sparked significant research interest in …