Papers by Shengyue Guan

1 papers
SupChain-Bench: Benchmarking Large Language Models for Real-World Supply Chain Management (2026.findings-acl)

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Challenge: Large language models have shown promise in complex reasoning and tool-based decision making, but supply chain workflows require reliable long-horizon, multi-step orchestration grounded in domain-specific procedures.
Approach: They propose a unified real-world benchmark that assesses supply chain domain knowledge and long-horizon tool-based orchestration grounded in standard operating procedures.
Outcome: The proposed framework achieves the strongest and consistent tool-calling performance in real-world operational settings.

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