5 citations · 8 across the 8 of their papers we have counts for
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cs.CL2024★ 1 cited
FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
Zhenyu Li, Yike Zhang, Tengyu Pan +6
Empowering LLMs with the ability to precisely understand long contexts is crucial for many downstream applications. However, handling long contexts with conventional transformer ar…
cs.AI2024★ 1 cited
GUICourse: From General Vision Language Models to Versatile GUI Agents
Wentong Chen, Junbo Cui, Jinyi Hu +11
Utilizing Graphic User Interface (GUI) for human-computer interaction is essential for accessing a wide range of digital tools. Recent advancements in Vision Language Models (VLMs)…
cs.CL2024
UniMem: Towards a Unified View of Long-Context Large Language Models
Junjie Fang, Likai Tang, Hongzhe Bi +12
Long-context processing is a critical ability that constrains the applicability of large language models (LLMs). Although there exist various methods devoted to enhancing the long-…