This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the
field of Natural Language Processing (NLP), both conceptually and practically …

Tables, typically two-dimensional and structured to store large amounts of data, are
essential in daily activities like database queries, spreadsheet manipulations, Web table …

Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

The recent surge of Multimodal Large Language Models (MLLMs) has fundamentally
reshaped the landscape of AI research and industry, shedding light on a promising path …

Abstract Large Multimodal Models (LMMs) have shown promise in vision-language tasks but
struggle with high-resolution input and detailed scene understanding. Addressing these …

We introduce MetaICL (Meta-training for In-Context Learning), a new meta-training
framework for few-shot learning where a pretrained language model is tuned to do in …

Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that
supports long-contextual input and output. IXC-2.5 excels in various text-image …

In this paper, we study how to improve the zero-shot reasoning ability of large language
models~(LLMs) over structured data in a unified way. Inspired by the study on tool …

We propose SPHINX-X, an extensive Multimodality Large Language Model (MLLM) series
developed upon SPHINX. To improve the architecture and training efficiency, we modify the …