PlayCoder raises the rate of LLM-generated GUI apps that can be played end-to-end without logic errors from near zero to 20.3% Play@3 by adding repository-aware generation, agent-driven testing, and iterative repair.
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HELO-APR improves LLM-based automatic program repair in low-resource languages by synthesizing cross-lingual training data and using curriculum learning, raising Pass@1 from 31.32% to 48.65% on DeepSeek-Coder for Ruby/Rust targets.
citing papers explorer
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PlayCoder: Making LLM-Generated GUI Code Playable
PlayCoder raises the rate of LLM-generated GUI apps that can be played end-to-end without logic errors from near zero to 20.3% Play@3 by adding repository-aware generation, agent-driven testing, and iterative repair.
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HELO-APR: Enhancing Low-Resource Program Repair through Cross-Lingual Knowledge Transfer
HELO-APR improves LLM-based automatic program repair in low-resource languages by synthesizing cross-lingual training data and using curriculum learning, raising Pass@1 from 31.32% to 48.65% on DeepSeek-Coder for Ruby/Rust targets.