most citedA Survey of Context Engineering for Large Language Models

13 citations · 17 across the 11 of their papers we have counts for

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cs.CV2026

HighlightBench: Benchmarking Markup-Driven Table Reasoning in Scientific Documents

Lexin Wang, Shenghua Liu, Yiwei Wang +5

Visual markups such as highlights, underlines, and bold text are common in table-centric documents. Although multimodal large language models (MLLMs) have made substantial progress…

cs.CV2025

Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning

Yuyao Ge, Shenghua Liu, Yiwei Wang +6

Vision-Language Models (VLMs) have demonstrated remarkable success across diverse visual tasks, yet their performance degrades in complex visual environments. While existing enhanc…