Author

Qianlong Wang

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#artificial intelligence Preprint Oct 2026

FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests

Real-world business requests often leave key requirements unstated because frontline practitioners struggle to articulate rules they know from experience. Forward-deployed engineers (FDEs) must elicit these requirements through dialogue and iteratively optimize solutions until they meet customer acceptance criteria. Ex...

Huai Li, Can Huang, Chu-Fan Wu et al. · 0 citations

Preprint Aug 2026

Janus: An Algorithm-Evaluator Co-Evolution Framework for LLM-Driven Discovery under Expensive Evaluation Budgets

Janus is introduced, a framework that uses LLMs to co-evolve target programs and executable proxy evaluators to address label scarcity and extend evaluator-guided LLM discovery from tasks with cheap, scalable feedback to scientific domains where trustworthy evaluation is scarce and expensive.

Xi-Meng Liu, Qianlong Wang, Ying-Ming Mao et al. · 2 citations