53 citations · 95 across the 12 of their papers we have counts for
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cs.AI2026
Reading is not Reasoning: Bridging the Agentic Policy Gap in Vision-Text Compression
Cheng Fan, Junyi Zhou, Tingzhang Luo +5
Multi-step language-model agents repeatedly process growing interaction histories, leading to substantial context costs. Vision--text compression reduces these costs by rendering h…
cs.CL2026
C-MOP: Integrating Momentum and Boundary-Aware Clustering for Enhanced Prompt Evolution
Binwei Yan, Yifei Fu, Mingjian Zhu +4
Automatic prompt optimization is a promising direction to boost the performance of Large Language Models (LLMs). However, existing methods often suffer from noisy and conflicting u…