A survey on evaluation of large language models
Y Chang, X Wang, J Wang, Y Wu, L Yang… - ACM Transactions on …, 2024 - dl.acm.org
Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …
industry, owing to their unprecedented performance in various applications. As LLMs …
A survey of hallucination in large foundation models
V Rawte, A Sheth, A Das - arXiv preprint arXiv:2309.05922, 2023 - arxiv.org
Hallucination in a foundation model (FM) refers to the generation of content that strays from
factual reality or includes fabricated information. This survey paper provides an extensive …
factual reality or includes fabricated information. This survey paper provides an extensive …
A survey of large language models
WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Improved baselines with visual instruction tuning
H Liu, C Li, Y Li, YJ Lee - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
Large multimodal models (LMM) have recently shown encouraging progress with visual
instruction tuning. In this paper we present the first systematic study to investigate the design …
instruction tuning. In this paper we present the first systematic study to investigate the design …
Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi
X Yue, Y Ni, K Zhang, T Zheng, R Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
We introduce MMMU: a new benchmark designed to evaluate multimodal models on
massive multi-discipline tasks demanding college-level subject knowledge and deliberate …
massive multi-discipline tasks demanding college-level subject knowledge and deliberate …
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 …
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
A survey on multimodal large language models
S Yin, C Fu, S Zhao, K Li, X Sun, T Xu… - arXiv preprint arXiv …, 2023 - arxiv.org
Multimodal Large Language Model (MLLM) recently has been a new rising research
hotspot, which uses powerful Large Language Models (LLMs) as a brain to perform …
hotspot, which uses powerful Large Language Models (LLMs) as a brain to perform …
mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration
Q Ye, H Xu, J Ye, M Yan, A Hu, H Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Multi-modal Large Language Models (MLLMs) have demonstrated impressive
instruction abilities across various open-ended tasks. However previous methods have …
instruction abilities across various open-ended tasks. However previous methods have …
Minigpt-v2: large language model as a unified interface for vision-language multi-task learning
J Chen, D Zhu, X Shen, X Li, Z Liu, P Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models have shown their remarkable capabilities as a general interface for
various language-related applications. Motivated by this, we target to build a unified …
various language-related applications. Motivated by this, we target to build a unified …
Cogvlm: Visual expert for pretrained language models
W Wang, Q Lv, W Yu, W Hong, J Qi, Y Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
We introduce CogVLM, a powerful open-source visual language foundation model. Different
from the popular shallow alignment method which maps image features into the input space …
from the popular shallow alignment method which maps image features into the input space …