9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts
Jinqiang Long, Yanqi Dai, Guoxing Yang +4
As the research of Multimodal Large Language Models (MLLMs) becomes popular, an advancing MLLM model is typically required to handle various textual and visual tasks (e.g., VQA, De…
cs.CL2023★ 9 cited
TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World
Hongpeng Lin, Ludan Ruan, Wenke Xia +8
To facilitate the research on intelligent and human-like chatbots with multi-modal context, we introduce a new video-based multi-modal dialogue dataset, called TikTalk. We collect…