2 papers
cs.SE2026
Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls
Zeyu Zhang, Guohao Li, Zhenchang Xing +3
The ability to use tools is fundamental for large language model (LLM) agents. Given a task, existing systems use LLMs to plan and generate tool calls, which are executed by real-w…
cs.CV2025
Effective Training Data Synthesis for Improving MLLM Chart Understanding
Yuwei Yang, Zeyu Zhang, Yunzhong Hou +5
Being able to effectively read scientific plots, or chart understanding, is a central part toward building effective agents for science. However, existing multimodal large language…