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20222026
most citedMixed-Precision Neural Network Quantization via Learned Layer-wise Importance

5 citations · 8 across the 7 of their papers we have counts for

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cs.LG2026

RS-Claw-Evolution: Environment-Feedback-Driven Evolution for Lightweight Remote Sensing Agents in Long-Horizon Tasks

Kai Ouyang, Dongyang Hou, Liangtian Liu +9

Large language model-driven remote sensing (RS) agents offer a promising approach to automating geospatial analysis. However, lightweight RS agents based on compact language models…

cs.AI2026

RS-Claw: Progressive Active Tool Exploration via Hierarchical Skill Trees for Remote Sensing Agents

Liangtian Liu, Zeyuan Wang, Ziyu Li +8

The rise of multi-modal large language models (MLLMs) is shifting remote sensing (RS) intelligence from "see" to "action", as OpenClaw-style frameworks enable agents to autonomousl…