activity
20242026
most citedMaking Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

MemeMind: Reference-Guided Trace Construction for Offline Context Optimization

Run Yang, Weihang Wang, Boheng Sheng +7

Offline context optimization improves an agent by revising its instructions and examples while keeping the model frozen. This approach learns from rollouts on an adaptation set, bu…

cs.AI2026

MemeBench: What LVLMs Miss When Interpreting Culture-Dependent Memes

Weihang Wang, Kainan Tu, Jielei Zhang +9

Large vision-language models have improved at describing visual content, but accurate descriptions do not ensure interpretation when meaning depends on knowledge beyond the pixels.…

cs.HC2026★ 1 cited

Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

Yuchen He, Peizhi Ying, Liqi Cheng +4

Chart data extraction, which reverse-engineers data tables from chart images, is essential for reproducibility, analysis, retrieval, and redesign. Existing interactive tools are re…

cs.HC2026

GraphTide: Augmenting Knowledge-Intensive Text with Progressive Nested Graph

Xin Qian, Dazhen Deng, Zhaoping He +3

Knowledge-intensive text usually contains fruitful entities and complex relationships, such as academic articles and scientific exposition. Reading and comprehending such texts oft…

cs.CL2025

CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation

Dazhen Deng, Sen Yang, Yuchen He +2

Current chart-related tasks, such as chart generation (NL2Chart), chart schema parsing, chart data parsing, and chart question answering (ChartQA), are typically studied in isolati…

cs.HC2025

ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization

Yuchen He, Jianbing Lv, Liqi Cheng +3

Temporal Action Localization (TAL) aims to detect the start and end timestamps of actions in a video. However, the training of TAL models requires a substantial amount of manually…

cs.CV2024

ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis

Yuchen He, Zeqing Yuan, Yihong Wu +3

The immense popularity of racket sports has fueled substantial demand in tactical analysis with broadcast videos. However, existing manual methods require laborious annotation, and…