Papers by Wanpeng Xu
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models (2026.acl-long)
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| Challenge: | Large Language Models (LLMs) are increasingly deployed as agents that invoke external tools through structured function calls. |
| Approach: | They introduce a diagnostic benchmark and conduct a systematic evaluation of multilingual tool calling across Chinese, Hindi, and the low-resource language Igbo. |
| Outcome: | The proposed benchmarks show that multilingual tool calling fails despite correct intent understanding and tool selection. |
Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design (2026.eacl-long)
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| Challenge: | Existing AI-assisted educational tools focus on isolated tasks, but lack end-to-end workflows for instructional design. |
| Approach: | They propose a multi-agent large language model framework to automate end-to-end course material generation. |
| Outcome: | The proposed framework reduces development time and human workload while reducing human involvement. |