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Problem Decomposition

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Showing 1–50 of 54 papers

TitleStatusHype
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System NeedCode0
RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step RetrievalCode0
Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning—0
MAS-Zero: Designing Multi-Agent Systems with Zero SupervisionCode2
Meta-Design Matters: A Self-Design Multi-Agent SystemCode2
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation—0
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition—0
Training Large Language Models to Reason via EM Policy Gradient—0
Availability of Perfect Decomposition in Statistical Linkage Learning for Unitation-based Function Concatenations—0
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition—0
The working principles of model-based GAs fall within the PAC framework: A mathematical theory of problem decomposition—0
Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks—0
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
Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant's Perspective—0
Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation—0
Multi-service collaboration and composition of cloud manufacturing customized production based on problem decomposition—0
Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization—0
Independent RL for Cooperative-Competitive Agents: A Mean-Field Perspective—0
A Composite Decomposition Method for Large-Scale Global Optimization—0
SparseLLM: Towards Global Pruning for Pre-trained Language ModelsCode2
Divide-or-Conquer? Which Part Should You Distill Your LLM?Code1
Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning—0
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex ReasoningCode1
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model ReasoningCode0
LLM Guided Inductive Inference for Solving Compositional Problems—0
Data-driven Topology and Parameter Identification in Distribution Systems with limited Measurements—0
Fast Matrix Multiplication Without Tears: A Constraint Programming ApproachCode0
Rolling Horizon based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time WindowsCode0
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal NavigationCode0
Distilling Reasoning Capabilities into Smaller Language ModelsCode0
Hybridization of evolutionary algorithm and deep reinforcement learning for multi-objective orienteering optimization—0
Incremental Recursive Ranking Grouping for Large Scale Global Optimization—0
Distributed Optimization in Distribution Systems with Grid-Forming and Grid-Supporting Inverters—0
Decomposition Strategies and Multi-shot ASP Solving for Job-shop SchedulingCode1
Dynamic Diagnosis of the Progress and Shortcomings of Student Learning using Machine Learning based on Cognitive, Social, and Emotional Features—0
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation—0
The 6-Ds of Creating AI-Enabled Systems—0
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning—0
DiBB: Distributing Black-Box Optimization—0
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems—0
Fast reinforcement learning with generalized policy updatesCode0
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems—0
Divide-and-Conquer Large Scale Capacitated Arc Routing Problems with Route Cutting Off Decomposition—0
Learning Reward Machines for Partially Observable Reinforcement LearningCode0
Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented with Fuzzy Clustering—0
Decomposition Methods with Deep Corrections for Reinforcement LearningCode0
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks—0
Meta-Optimizing Semantic Evolutionary SearchCode0
Recursive Decomposition for Nonconvex Optimization—0
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