FlowPipe applies C-GFlowNets with FiLM-based LLM modulation and failure-aware flow objectives to generate data-prep pipelines, reporting 11.96% higher accuracy and 12.5x faster convergence than Multi-DQN on 74 datasets.
Large language models as data preprocessors
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Alper unifies entity resolution matching and clustering into an iterative graph refinement and probabilistic label propagation process that adaptively selects LLM queries via a budgeted greedy optimization to outperform cascaded pipelines on eight benchmarks.
TabClean synthesizes reusable guarded Python cleaning programs from LLM reasoning on a small development set to achieve high precision and lower recurring costs on tabular data.
The paper proposes a bidirectional continuum between LLMs and control systems, covering LLM-assisted controller design, control-based LLM steering, and state-space modeling of LLMs.
Survey mapping LLM applications in software quality assurance to established standards including ISO/IEC 12207, ISO 25010, CMMI, and TMM, with case studies, challenges, and future directions.
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FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction
FlowPipe applies C-GFlowNets with FiLM-based LLM modulation and failure-aware flow objectives to generate data-prep pipelines, reporting 11.96% higher accuracy and 12.5x faster convergence than Multi-DQN on 74 datasets.
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Adaptive Graph Refinement and Label Propagation with LLMs for Cost-Effective Entity Resolution
Alper unifies entity resolution matching and clustering into an iterative graph refinement and probabilistic label propagation process that adaptively selects LLM queries via a budgeted greedy optimization to outperform cascaded pipelines on eight benchmarks.
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TabClean: Reusable LLM-Synthesized Programs for Tabular Data Cleaning
TabClean synthesizes reusable guarded Python cleaning programs from LLM reasoning on a small development set to achieve high precision and lower recurring costs on tabular data.
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When control meets large language models: From words to dynamics
The paper proposes a bidirectional continuum between LLMs and control systems, covering LLM-assisted controller design, control-based LLM steering, and state-space modeling of LLMs.
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A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards
Survey mapping LLM applications in software quality assurance to established standards including ISO/IEC 12207, ISO 25010, CMMI, and TMM, with case studies, challenges, and future directions.