Data visualization in the form of charts plays a pivotal role in data analysis, offering critical
insights and aiding in informed decision-making. Automatic chart understanding has …

Text summarization research has undergone several significant transformations with the
advent of deep neural networks, pre-trained language models (PLMs), and recent large …

In recent years, Large Language Models (LLMs) have witnessed a remarkable surge in
prevalence, altering the landscape of natural language processing and machine learning …

While large language models (LLMs) can already achieve strong performance on standard
generic summarization benchmarks, their performance on more complex summarization …

LLMs and RAG systems are now capable of handling millions of input tokens or more.
However, evaluating the output quality of such systems on long-context tasks remains …

Fact-checking research has extensively explored verification but less so the generation of
natural-language explanations, crucial for user trust. While Large Language Models (LLMs) …

The interactive nature of Large Language Models (LLMs) theoretically allows models to
refine and improve their answers, yet systematic analysis of the multi-turn behavior of LLMs …

Large Vision-Language Models (LVLMs) suffer from hallucination issues, wherein the
models generate plausible-sounding but factually incorrect outputs, undermining their …

People from different social and demographic groups express diverse perspectives and
conflicting opinions on a broad set of topics such as product reviews, healthcare, law, and …

In the rapidly evolving field of Large Language Models (LLMs), ensuring safety is a crucial
and widely discussed topic. However, existing works often overlooks the geo-diversity of …