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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Optimising 4th-Order Runge-Kutta Methods: A Dynamic Heuristic Approach for Efficiency and Low Storage
NaviAgent: Bilevel Planning on Tool Dependency Graphs for Function Calling
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Movable-Element STARS-Assisted Near-Field Wideband Communications
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
A Survey on Mathematical Reasoning and Optimization with Large Language Models
Optimizing Minimum Vertex Cover Solving via a GCN-assisted Heuristic Algorithm
A Block-Based Heuristic Algorithm for the Three-Dimensional Nuclear Waste Packing Problem
Automatic Prompt Optimization via Heuristic Search: A Survey
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Hardware Distortion Modeling for Panel Selection in Large Intelligent Surfaces
On Parallel External-Memory Bidirectional Search
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
MeshA*: Efficient Path Planing With Motion Primitives
TANGO: Training-free Embodied AI Agents for Open-world Tasks
Solving 7x7 Killall-Go with Seki Database
Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Efficient Reinforcement Learning with Large Language Model Priors
Windowed MAPF with Completeness Guarantees
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner
Multi-objective Evolution of Heuristic Using Large Language Model
HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models
FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles
A Training Data Recipe to Accelerate A* Search with Language Models
Microgrid Planner: A Distributed Energy Resource Sizing Method
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
BlockPruner: Fine-grained Pruning for Large Language Models
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses
SLOPE: Search with Learned Optimal Pruning-based Expansion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.