Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models

Z Lin, S Guan, W Zhang, H Zhang, Y Li… - Artificial Intelligence …, 2024 - Springer
Recently, large language models (LLMs) have attracted considerable attention due to their
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …

[HTML][HTML] The impact of generative conversational artificial intelligence on the Lesbian, gay, Bisexual, transgender, and queer community: sco** review

NL Bragazzi, A Crapanzano, M Converti… - Journal of Medical …, 2023 - jmir.org
Background Despite recent significant strides toward acceptance, inclusion, and equality,
members of the lesbian, gay, bisexual, transgender, and queer (LGBTQ) community still face …

Siren's song in the AI ocean: a survey on hallucination in large language models

Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu… - arxiv preprint arxiv …, 2023 - arxiv.org
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …

Autogen: Enabling next-gen llm applications via multi-agent conversation

Q Wu, G Bansal, J Zhang, Y Wu, B Li, E Zhu… - arxiv preprint arxiv …, 2023 - arxiv.org
AutoGen is an open-source framework that allows developers to build LLM applications via
multiple agents that can converse with each other to accomplish tasks. AutoGen agents are …

[HTML][HTML] More human than human: measuring ChatGPT political bias

F Motoki, V Pinho Neto, V Rodrigues - Public Choice, 2024 - Springer
We investigate the political bias of a large language model (LLM), ChatGPT, which has
become popular for retrieving factual information and generating content. Although ChatGPT …

Dolma: An open corpus of three trillion tokens for language model pretraining research

L Soldaini, R Kinney, A Bhagia, D Schwenk… - arxiv preprint arxiv …, 2024 - arxiv.org
Information about pretraining corpora used to train the current best-performing language
models is seldom discussed: commercial models rarely detail their data, and even open …

[HTML][HTML] Ethical ChatGPT: Concerns, challenges, and commandments

J Zhou, H Müller, A Holzinger, F Chen - Electronics, 2024 - mdpi.com
Large language models, eg, Chat Generative Pre-Trained Transformer (also known as
ChatGPT), are currently contributing enormously to making artificial intelligence even more …

On llms-driven synthetic data generation, curation, and evaluation: A survey

L Long, R Wang, R **ao, J Zhao, X Ding… - arxiv preprint arxiv …, 2024 - arxiv.org
Within the evolving landscape of deep learning, the dilemma of data quantity and quality has
been a long-standing problem. The recent advent of Large Language Models (LLMs) offers …

Openbias: Open-set bias detection in text-to-image generative models

M D'Incà, E Peruzzo, M Mancini, D Xu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Text-to-image generative models are becoming increasingly popular and accessible to the
general public. As these models see large-scale deployments it is necessary to deeply …

[HTML][HTML] Multimodal large language models in health care: applications, challenges, and future outlook

R AlSaad, A Abd-Alrazaq, S Boughorbel… - Journal of medical …, 2024 - jmir.org
In the complex and multidimensional field of medicine, multimodal data are prevalent and
crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types …