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Problem Decomposition

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Showing 1–25 of 54 papers

TitleStatusHype
MAS-Zero: Designing Multi-Agent Systems with Zero SupervisionCode2
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
Meta-Design Matters: A Self-Design Multi-Agent SystemCode2
Divide-or-Conquer? Which Part Should You Distill Your LLM?Code1
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex ReasoningCode1
Decomposition Strategies and Multi-shot ASP Solving for Job-shop SchedulingCode1
TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language ModelsCode1
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code GenerationCode1
Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning—0
Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented with Fuzzy Clustering—0
Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations—0
Deciding Monotone Duality and Identifying Frequent Itemsets in Quadratic Logspace—0
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks—0
DiBB: Distributing Black-Box Optimization—0
LLM Guided Inductive Inference for Solving Compositional Problems—0
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation—0
Dynamic Diagnosis of the Progress and Shortcomings of Student Learning using Machine Learning based on Cognitive, Social, and Emotional Features—0
A Composite Decomposition Method for Large-Scale Global Optimization—0
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition—0
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems—0
Data-driven Topology and Parameter Identification in Distribution Systems with limited Measurements—0
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition—0
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization—0
Incremental Recursive Ranking Grouping for Large Scale Global Optimization—0
Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning—0
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