4 papers
Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving
Xinyu Zhang, Yuchen Wan, Boxuan Zhang +4
Large Language Models (LLMs) often struggle with structural ambiguity in optimization problems, where a single problem admits multiple related but conflicting modeling paradigms, h…
OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving
Xinyu Zhang, Boxuan Zhang, Yuchen Wan +5
While Large Language Models (LLMs) demonstrate remarkable reasoning, complex optimization tasks remain challenging, requiring domain knowledge and robust implementation. However, e…
Sequential Additivity in Distributionally Robust Ranking and Selection
Zaile Li, Yuchen Wan, L. Jeff Hong
Ranking and selection (R&S) seeks to identify the alternative with the best mean performance from a finite collection of simulated alternatives. Its practical value depends on accu…
New Additive OCBA Procedures for Robust Ranking and Selection
Yuchen Wan, Zaile Li, L. Jeff Hong
Robust ranking and selection (R&S) is an important and challenging variation of conventional R&S that seeks to select the best alternative among a finite set of alternatives. It ca…