Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey

Q Lin, Y Zhu, X Mei, L Huang, J Ma, K He, Z Peng… - Information …, 2024 - Elsevier
The rapid development of artificial intelligence has constantly reshaped the field of
intelligent healthcare and medicine. As a vital technology, multimodal learning has …

Knowledge graphs meet multi-modal learning: A comprehensive survey

Z Chen, Y Zhang, Y Fang, Y Geng, L Guo… - arxiv preprint arxiv …, 2024 - arxiv.org
Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Trustllm: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

[HTML][HTML] Position: TrustLLM: Trustworthiness in large language models

Y Huang, L Sun, H Wang, S Wu… - International …, 2024 - proceedings.mlr.press
Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

[PDF][PDF] Enhancing contextual understanding of mistral llm with external knowledge bases

M Sasaki, N Watanabe, T Komanaka - 2024 - assets-eu.researchsquare.com
This study explores the enhancement of contextual understanding and factual accuracy in
Language Learning Models (LLMs), specifically Mistral LLM, through the integration of …

Visual agents as fast and slow thinkers

G Sun, M **, Z Wang, CL Wang, S Ma, Q Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Achieving human-level intelligence requires refining cognitive distinctions between System
1 and System 2 thinking. While contemporary AI, driven by large language models …

Graph machine learning in the era of large language models (llms)

W Fan, S Wang, J Huang, Z Chen, Y Song… - arxiv preprint arxiv …, 2024 - arxiv.org
Graphs play an important role in representing complex relationships in various domains like
social networks, knowledge graphs, and molecular discovery. With the advent of deep …

Mitigating hallucination in fictional character role-play

N Sadeq, Z **e, B Kang, P Lamba, X Gao… - arxiv preprint arxiv …, 2024 - arxiv.org
Role-playing has wide-ranging applications in customer support, embodied agents,
computational social science, etc. The influence of parametric world knowledge of large …

On limitations of the transformer architecture

B Peng, S Narayanan, C Papadimitriou - arxiv preprint arxiv:2402.08164, 2024 - arxiv.org
What are the root causes of hallucinations in large language models (LLMs)? We use
Communication Complexity to prove that the Transformer layer is incapable of composing …

On the limits of language generation: Trade-offs between hallucination and mode collapse

A Kalavasis, A Mehrotra, G Velegkas - arxiv preprint arxiv:2411.09642, 2024 - arxiv.org
Specifying all desirable properties of a language model is challenging, but certain
requirements seem essential. Given samples from an unknown language, the trained model …