Repository-level RTL repair must localize a failure that spans files, modules, and clock cycles, then propagate the fix consistently. Existing methods reason over source code, which reveals possible behaviors but not the failed execution, and cannot tell whether a local fix was propagated consistently. We therefore pre...
Yu-Xin Du, Ju-Xin Niu, Zhe Jiang et al.· 0 citations
Integrating Knowledge Graphs (KGs) into Retrieval-Augmented Generation (RAG) can substantially improve LLM performance on complex question answering (QA) by reducing hallucinations and supplying structured context. However, building high-quality KGs over large corpora for edge scenarios is challenging: cloud-based proc...
Yuyu Du, Ju-Xin Niu, Chun Jason Xue et al.· IEEE International Conferenc...· 0 citations
Experimental results across multiple LLMs demonstrate the effectiveness of SeqFeed, which comprises two complementary mechanisms: an SQL-like waveform query language that enables agents to anchor queries to semantic events and sample signal values at relative time points, and a dependency graph that tracks signal propa...
Yu-Xin Du, Ju-Xin Niu, Tao Hu et al.· 0 citations
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