Papers with foundational platform

2 papers
OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving (2026.findings-acl)

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Challenge: Existing benchmarks focus on Mathematical Programming and Combinatorial Optimization, hindering comprehensive evaluation.
Approach: They propose a benchmarking tool that compares 1,000 curated optimization problems across three difficulty levels.
Outcome: The proposed model improves performance on hard problems while maintaining 27% accuracy.
MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents (2026.acl-long)

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Challenge: Shortcuts such as APIs and deep-links have emerged as efficient complements to flexible GUI operations, but systematic evaluation of GUI–shortcut hybrid agents remains underexplored.
Approach: They propose a benchmark that evaluates GUI-shortcut hybrid agents with a specific focus on the mobile domain.
Outcome: MAS-Bench evaluates agent's ability to generate shortcuts by discovering and creating reusable, low-cost workflows.

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