technique

Map-Reduce Decomposition

techniqueactiveprovisionalmap-reduce-decomposition-eb8fddea·1 events·first seen 15d ago

Aliases: Map-Reduce Decomposition

Co-occurring entities

Last-Mile Forecasting Framework Time Series Foundation Models Memory Bank LLM agents

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Divide-and-Conquer Partitioning Iterative Skill-Aware Decomposition hierarchical summarization Symmetric Chain Decompositions RREDCoT: Segment-Level Reward Redistribution for Reasoning Models Map Task Recursive Summarization Prefill/Decode Disaggregation Hamiltonian leapfrog map Variance Reduction DeepRubric Divide-and-Conquer Value Learning

Recent events (1)

5arXiv · cs.AI·15d ago·source ↗

LLM Agent Framework for Last-Mile Time Series Forecasting Revision

This paper introduces a 'last-mile forecasting' framework where an LLM agent sits atop a statistical forecasting backbone to incorporate weakly structured business context—holidays, campaigns, expert feedback, external events—into decision-ready forecasts. The system uses tool-invocation for contextual retrieval, converts reasoning into explicit revision actions under safety constraints, and supports long-horizon forecasting via map-reduce decomposition with a memory bank for post-hoc reflection. The authors validate the approach through real-world case studies, positioning it as a bridge between statistical prediction and operationally usable forecasts.

Enterprise Deployment Patterns Agent and Tool Ecosystem Map-Reduce Decomposition Last-Mile Forecasting Framework Time Series Foundation Models +2 more