Papers by Yuchi Ma

2 papers
From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA (2026.findings-acl)

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Challenge: Existing Dev Knowledge QA benchmarks are limited in development knowledge scope and often not built from real user queries.
Approach: They conduct preliminary analysis of real user–LLM dialogues from WildChat to investigate the importance of Dev Knowledge QA in AI-assisted software development scenarios.
Outcome: The proposed benchmark is based on real user–LLM dialogues from WildChat.
UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models (2026.findings-acl)

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Challenge: Large language models (LLMs) have demonstrated remarkable capabilities in code generation tasks, but their effectiveness relies on supervised training with extensive labeled data and computational resources.
Approach: They propose an unsupervised method that leverages Internal Probing of Large language models for Code generation without any external corpus, even unlabeled code snippets.
Outcome: The proposed method can achieve competitive performance compared to supervised approaches while reducing the dependency on labeled data and computational resources.

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