Replacing ambiguous compiler remarks with precise structured ones raises AI agent optimization success by 3.3x on TSVC by cutting semantic hallucinations, proving the bottleneck is the interface not the model size.
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AutoVecCoder combines VecPrompt for automated intrinsic knowledge synthesis and VecRL for efficiency-aligned RL to train an 8B LLM that achieves SOTA on SimdBench SSE/AVX subsets and sometimes exceeds -O3 compiler results.
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AI Coding Agents Need Better Compiler Remarks
Replacing ambiguous compiler remarks with precise structured ones raises AI agent optimization success by 3.3x on TSVC by cutting semantic hallucinations, proving the bottleneck is the interface not the model size.
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AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code
AutoVecCoder combines VecPrompt for automated intrinsic knowledge synthesis and VecRL for efficiency-aligned RL to train an 8B LLM that achieves SOTA on SimdBench SSE/AVX subsets and sometimes exceeds -O3 compiler results.