activity
20232026
most citedChartLlama: A Multimodal LLM for Chart Understanding and Generation

25 citations · 27 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

SPOC-SQL: Stage-wise Preference Optimization for Controllable Text-to-SQL

Yingnan Chen, Chun Ding, Tianshi Xu +2

Text-to-SQL aims to translate natural language questions into executable SQL queries over relational databases, requiring multi-stage structured reasoning over database schemas and…

cs.AI2026

ManimAgent: Self-Evolving Multimodal Agents for Visual Education

Wenjia Jiang, Zongyuan Cai, Yuanhang Shao +7

Multi-round reflection lets agents built on large language models recover from failures within a single task, but each task remains an isolated episode: lessons learned across many…

cs.CV2025

Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection

Yuchu Jiang, Jiaming Chu, Jian Zhao +5

The proliferation of generative models has raised serious concerns about visual content forgery. Existing deepfake detection methods primarily target either image-level classificat…

cs.AI2025

AppAgentX: Evolving GUI Agents as Proficient Smartphone Users

Wenjia Jiang, Yangyang Zhuang, Chenxi Song +3

Recent advancements in Large Language Models (LLMs) have led to the development of intelligent LLM-based agents capable of interacting with graphical user interfaces (GUIs). These…

cs.CV2023★ 2 cited

Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models

Xu Yang, Yingzhe Peng, Haoxuan Ma +4

As Archimedes famously said, ``Give me a lever long enough and a fulcrum on which to place it, and I shall move the world'', in this study, we propose to use a tiny Language Model…

cs.CV2023★ 25 cited

ChartLlama: A Multimodal LLM for Chart Understanding and Generation

Yucheng Han, Chi Zhang, Xin Chen +5

Multi-modal large language models have demonstrated impressive performances on most vision-language tasks. However, the model generally lacks the understanding capabilities for spe…