Cover Image

RoCo: Role-Based LLMs Collaboration for Automatic Heuristic Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Jiawei, Wei, Feng-Feng, Chen, Wei-Neng
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation
by: Liu, Haichao, et al.
Published: (2026)

Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation
by: Zhang, Ke, et al.
Published: (2025)

RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation
by: Du, Yuwen, et al.
Published: (2025)

Experience-Guided Reflective Co-Evolution of Prompts and Heuristics for Automatic Algorithm Design
by: Liu, Yihong, et al.
Published: (2025)

CoPE: Clipped RoPE as A Scalable Free Lunch for Long Context LLMs
by: Li, Haoran, et al.
Published: (2026)

MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design
by: Qiu, Zishang, et al.
Published: (2025)

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
by: Zheng, Zhi, et al.
Published: (2025)

G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design
by: Zhao, Baoyun, et al.
Published: (2026)

EoH-S: Evolution of Heuristic Set using LLMs for Automated Heuristic Design
by: Liu, Fei, et al.
Published: (2025)

RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment
by: Huang, Zhe, et al.
Published: (2024)

Enhancing CVRP Solver through LLM-driven Automatic Heuristic Design
by: Xie, Zhuoliang, et al.
Published: (2026)

Collaborative Evolving Strategy for Automatic Data-Centric Development
by: Yang, Xu, et al.
Published: (2024)

Can LLMs Predict Academic Collaboration? Topology Heuristics vs. LLM-Based Link Prediction on Real Co-authorship Networks
by: Huang, Fan, et al.
Published: (2026)

HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
by: Dat, Pham Vu Tuan, et al.
Published: (2024)

QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution
by: Chen, Zijie, et al.
Published: (2024)

Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs
by: Kiet, Nguyen Viet Tuan, et al.
Published: (2026)

AHD Agent: Agentic Reinforcement Learning for Automatic Heuristic Design
by: Lv, Haoze, et al.
Published: (2026)

Robust Heuristic Algorithm Design with LLMs
by: Karimi, Pantea, et al.
Published: (2025)

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
by: Zhou, Hanzhang, et al.
Published: (2023)

AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models
by: Yu, He, et al.
Published: (2024)

Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery
by: Ke, Xinyi, et al.
Published: (2026)

TIDE: Tuning-Integrated Dynamic Evolution for LLM-Based Automated Heuristic Design
by: Chen, Chentong, et al.
Published: (2026)

LaneRoPE: Positional Encoding for Collaborative Parallel Reasoning and Generation
by: Cesa, Gabriele, et al.
Published: (2026)

Automatic Reward Shaping from Multi-Objective Human Heuristics
by: Xie, Yuqing, et al.
Published: (2025)

HiFo-Prompt: Prompting with Hindsight and Foresight for LLM-based Automatic Heuristic Design
by: Chen, Chentong, et al.
Published: (2025)

Joint Activity Design Heuristics for Enhancing Human-Machine Collaboration
by: Jalaeian, Mohammadreza, et al.
Published: (2025)

Periodic RoPE for Infinite Context LLMs
by: Huo, Simin
Published: (2026)

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
by: Liu, Fei, et al.
Published: (2024)

BEAM: Bi-level Memory-adaptive Algorithmic Evolution for LLM-Powered Heuristic Design
by: Xiang, Chuyang, et al.
Published: (2026)

Towards Optimal Circuit Generation: Multi-Agent Collaboration Meets Collective Intelligence
by: Qin, Haiyan, et al.
Published: (2025)

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
by: Pan, Dayan, et al.
Published: (2025)

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
by: Zhang, Haoxuan, et al.
Published: (2025)

DyACE: Dynamic Algorithm Co-evolution for Online Automated Heuristic Design with Large Language Model
by: Lu, Guidong, et al.
Published: (2026)

Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration
by: Tang, Yinghao, et al.
Published: (2026)

Collaborative Belief Reasoning with LLMs for Efficient Multi-Agent Collaboration
by: Wang, Zhimin, et al.
Published: (2025)

CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning
by: Wei, Quanmin, et al.
Published: (2025)

Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
by: Feng, Yiyang, et al.
Published: (2026)

Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision
by: He, Xiaohan, et al.
Published: (2026)

Scalable Generative Game Engine: Breaking the Resolution Wall via Hardware-Algorithm Co-Design
by: Zeng, Wei, et al.
Published: (2026)

Bench-CoE: a Framework for Collaboration of Experts from Benchmark
by: Wang, Yuanshuai, et al.
Published: (2024)