activity
20192026
most citedUnified Language Model Pre-training for Natural Language Understanding and Generation

941 citations · 2.8k across the 32 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 3 cited

When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology

Wenhui Wang, Shuming Ma, Hanwen Xu +4

This technical report presents LongViT, a vision Transformer that can process gigapixel images in an end-to-end manner. Specifically, we split the gigapixel image into a sequence o…

cs.CL2023★ 8 cited

KOSMOS-2.5: A Multimodal Literate Model

Tengchao Lv, Yupan Huang, Jingye Chen +13

The automatic reading of text-intensive images represents a significant advancement toward achieving Artificial General Intelligence (AGI). In this paper we present KOSMOS-2.5, a m…

cs.CL2023★ 36 cited

LongNet: Scaling Transformers to 1,000,000,000 Tokens

Jiayu Ding, Shuming Ma, Li Dong +5

Scaling sequence length has become a critical demand in the era of large language models. However, existing methods struggle with either computational complexity or model expressiv…

cs.CL2023★ 133 cited

Kosmos-2: Grounding Multimodal Large Language Models to the World

Zhiliang Peng, Wenhui Wang, Li Dong +4

We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual…

cs.CL2023★ 164 cited

Language Is Not All You Need: Aligning Perception with Language Models

Shaohan Huang, Li Dong, Wenhui Wang +15

A big convergence of language, multimodal perception, action, and world modeling is a key step toward artificial general intelligence. In this work, we introduce Kosmos-1, a Multim…