Neuro-symbolic IC3+LLM framework finds inductive invariants for 29 distributed protocols in TLA+ and proves them inductive via TLAPS.
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6 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
PopPy combines an ahead-of-time compiler and runtime to extract parallelism from Python compound AI applications, delivering up to 6.4x end-to-end speedups while preserving sequential semantics.
DiLaServe improves SLO attainment for diffusion language models by up to 56.6 percentage points and reduces latency by up to 46% with less than 1% accuracy drop via deadline-aware scheduling and dynamic reconfiguration.
FMplex is a serving system that virtualizes FM backbones for sharing across tasks, claiming up to 80% lower latency and 6x more tasks hosted versus prior approaches.
WarpL uses mutation to find and isolate suboptimal instruction sequences causing performance issues in WebAssembly runtimes by comparing machine code of original and non-problematic mutant programs.
Amoeba adaptively adjusts tensor parallelism at runtime for LLM inference services to handle mixed short and long context requests, delivering 1.75x-6.57x throughput gains over prior solutions in real-world trace evaluations.
citing papers explorer
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Synthesizing Inductive Invariants for Distributed Protocols via IC3 and Large Language Models
Neuro-symbolic IC3+LLM framework finds inductive invariants for 29 distributed protocols in TLA+ and proves them inductive via TLAPS.
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PopPy: Opportunistically Exploiting Parallelism in Python Compound AI Applications
PopPy combines an ahead-of-time compiler and runtime to extract parallelism from Python compound AI applications, delivering up to 6.4x end-to-end speedups while preserving sequential semantics.
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DiLaServe: High SLO Attainment Serving for Diffusion Language Models
DiLaServe improves SLO attainment for diffusion language models by up to 56.6 percentage points and reduces latency by up to 46% with less than 1% accuracy drop via deadline-aware scheduling and dynamic reconfiguration.
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FMplex: Model Virtualization for Serving Extensible Foundation Models
FMplex is a serving system that virtualizes FM backbones for sharing across tasks, claiming up to 80% lower latency and 6x more tasks hosted versus prior approaches.
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Debugging Performance Issues in WebAssembly Runtimes via Mutation-based Inference
WarpL uses mutation to find and isolate suboptimal instruction sequences causing performance issues in WebAssembly runtimes by comparing machine code of original and non-problematic mutant programs.
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Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
Amoeba adaptively adjusts tensor parallelism at runtime for LLM inference services to handle mixed short and long context requests, delivering 1.75x-6.57x throughput gains over prior solutions in real-world trace evaluations.