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LAM is proposed, a Lossy Agent Memory system with three components: a deterministic deduplication rule with a substitution bound on retrieval scores - a bound on score perturbation, not a certificate of unchanged ranking; a memory manager that preserves the cached prefix and overlaps compaction with inference; and a pe...
These results identify base-model capability, target knowledge, execution feedback, and same-target measurement as central to cross-architecture kernel generation as central to cross-architecture kernel generation.
HLSmith, an expert-guided framework for translating C/C++ programs into optimized HLS accelerators, is presented and evaluated on PolyBench against ChatHLS, a leading prior agent-orchestration framework for HLS accelerator development.
Multi-agent large language model (LLM) systems can improve reasoning by spending more computation, but deployment requires deciding when extra collaboration is worth its cost, so confidence can support initial escalation, while protocol-specific cost-aware routing remains unresolved.
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