UNICS pre-trains on a pseudocode dataset for cross-lingual logic then applies multi-task transfer learning with hard-positive mining and dynamic hard-negative sampling to reach claimed SOTA on multilingual code-search benchmarks.
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cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper formalizes a hybrid quantum-classical architectural style and demonstrates a method that identifies decision boundaries for selecting configurations based on user QoS criteria.
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UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning
UNICS pre-trains on a pseudocode dataset for cross-lingual logic then applies multi-task transfer learning with hard-positive mining and dynamic hard-negative sampling to reach claimed SOTA on multilingual code-search benchmarks.
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Architecting Hybrid Quantum-Classical Software Systems: Exploration of the Design Trade-off Space with Quantitative Guarantees
The paper formalizes a hybrid quantum-classical architectural style and demonstrates a method that identifies decision boundaries for selecting configurations based on user QoS criteria.