Dataset · Hugging Face

c3aiia3c/nemo-icml2026

Name: nemo-icml2026
Creator: c3aiia3c
License: cc-by-4.0
Keywords: language:en, license:cc-by-4.0, arxiv:2601.21372, region:us, operations-research, optimization, llm-agents, code-generation, arxiv:2601.21372

NEMO: Execution-Aware Optimization Modeling via Autonomous Coding Agents Per-problem outputs from NEMO across the nine optimization-modeling benchmarks evaluated in the ICML 2026 paper. 📄 Paper: https://arxiv.org/abs/2601.21372 Contents One folder per benchmark. Seven benchmarks include full per-problem artifacts; two are provided as a single results table. Type Benchmarks Layout Per-problem artifacts BWOR, OptMATH-Bench, ComplexOR, IndustryOR… See the full description on the dataset page: https://huggingface.co/datasets/c3aiia3c/nemo-icml2026.

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Author / organization	c3aiia3c
License (as declared)	cc-by-4.0
Downloads	279 (as reported by Hugging Face)
Likes	0
Created	28 May 2026
Last updated at source	1 June 2026

operations-researchoptimizationllm-agentscode-generation

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