Hands-on Qwen3-1.7B code post-training lab: SFT, LoRA, DPO, PPO, GRPO, and reproducible EvalPlus benchmarks.
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Updated
Oct 7, 2026 - HTML
Hands-on Qwen3-1.7B code post-training lab: SFT, LoRA, DPO, PPO, GRPO, and reproducible EvalPlus benchmarks.
NTU final-year project: can an LLM agent tell whether generated code is correct without ground truth? Verifier reliability measured on EvalPlus HumanEval+
Cluster-Aware Sequential Refinement (CASR) for test-free multi-model code generation and model-pool selection.
Compute-efficient QLoRA specialization of Qwen3-4B for Python, with executable EvalPlus evidence and reproducible local training.
Research companion for LoRA instruction fine-tuning of Qwen2.5-Coder, with benchmark results from the manuscript, comparisons across data budgets, and documented reproducibility limits.
Executable-code evaluation and verifier-guided inference, with reproducible benchmarks and separate model-weight retention audits.
Research code and artifacts for How LLMs Fail in Code Generation: a cross-benchmark, fine-grained error taxonomy (SDDT 2026).
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