Unlock AI-Driven Optimization: Join the NL4Opt Challenge at NeurIPS 2022
The NL4Opt competition at NeurIPS 2022, co‑hosted by Huawei Cloud and two Canadian universities, introduces the first natural‑language‑based mathematical‑modeling dataset, offering named‑entity‑recognition and model‑generation tracks, a detailed schedule, and prize incentives to advance AI‑powered optimization research.
NeurIPS, one of the two most prestigious AI conferences alongside ICML, partnered with Huawei Cloud Vancouver Big Data & Intelligent Platform Lab and the University of British Columbia and Western University to host the NL4Opt competition in 2022.
Dataset and Goal
The competition releases the first dataset that uses natural language to define mathematical optimization problems, aiming to lower the barrier for using optimization solvers and to promote research on natural‑language‑driven mathematical modeling.
Why It Matters
Traditional optimization requires expert engineers to translate business problems into mathematical models, limiting the technology’s reach. Recent advances in natural language processing enable automatic programming and problem solving, making NLP‑based optimization a promising new application.
Competition Tasks
Two tracks are offered:
Task 1 – Named Entity Recognition : Identify key entities (objective names, decision variables, constraints) in natural‑language problem descriptions to aid model construction.
Task 2 – Mathematical Model Generation : Convert the extracted entities and their relationships into a formal optimization model that can be solved by standard solvers.
Schedule
July 1 – Oct 15, 2022
07‑01: Competition launch and participant registration.
07‑15: Submission portal opens; leaderboard and forum become active.
10‑08: Registration deadline.
10‑15: Final submission deadline.
10‑31: Results announced.
Prizes
Top‑five teams in each track receive cash awards (1st: $6,000; 2nd: $3,000; 3rd: $1,000; 4th & 5th: $500).
Post‑Competition
A follow‑up workshop at NeurIPS 2022 will feature winners presenting their solutions and discussions with experts in NLP and operations research.
For more details, visit the NL4Opt competition page.
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