Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Cho, Seunghyuk, Choi, Sunghyun, Heo, Jaeseung, Choi, Youngbin, Moon, Saemi, Park, MoonJeong, Kim, Dongwoo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration
by: Choi, Youngbin, et al.
Published: (2025)
by: Choi, Youngbin, et al.
Published: (2025)
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
by: Park, MoonJeong, et al.
Published: (2025)
by: Park, MoonJeong, et al.
Published: (2025)
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
by: Park, MoonJeong, et al.
Published: (2024)
by: Park, MoonJeong, et al.
Published: (2024)
Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
by: Yoon, Seokwon, et al.
Published: (2026)
by: Yoon, Seokwon, et al.
Published: (2026)
Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023)
by: Moon, Saemi, et al.
Published: (2023)
CoPL: Collaborative Preference Learning for Personalizing LLMs
by: Choi, Youngbin, et al.
Published: (2025)
by: Choi, Youngbin, et al.
Published: (2025)
Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification
by: Park, MoonJeong, et al.
Published: (2026)
by: Park, MoonJeong, et al.
Published: (2026)
Taming Gradient Oversmoothing and Expansion in Graph Neural Networks
by: Park, MoonJeong, et al.
Published: (2024)
by: Park, MoonJeong, et al.
Published: (2024)
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
by: Heo, Jaeseung, et al.
Published: (2025)
by: Heo, Jaeseung, et al.
Published: (2025)
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2024)
by: Na, Hyungho, et al.
Published: (2024)
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2024)
by: Na, Hyungho, et al.
Published: (2024)
Trajectory-Class-Aware Multi-Agent Reinforcement Learning
by: Na, Hyungho, et al.
Published: (2025)
by: Na, Hyungho, et al.
Published: (2025)
SpecBench: Evaluating Specification-Level Reasoning for Software Engineering LLM Agents
by: Hamblin, Grant, et al.
Published: (2026)
by: Hamblin, Grant, et al.
Published: (2026)
Understanding Persuasion in Long-Running Agents
by: Jeong, Hyejun, et al.
Published: (2026)
by: Jeong, Hyejun, et al.
Published: (2026)
MARBLE: Multi-Agent Reasoning for Bioinformatics Learning and Evolution
by: Kim, Sunghyun, et al.
Published: (2026)
by: Kim, Sunghyun, et al.
Published: (2026)
Interaction-Aware Influence Functions for Group Attribution
by: Heo, Jaeseung, et al.
Published: (2026)
by: Heo, Jaeseung, et al.
Published: (2026)
Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review
by: Yang-Smith, Corey, et al.
Published: (2026)
by: Yang-Smith, Corey, et al.
Published: (2026)
Multi-Agent Based Transfer Learning for Data-Driven Air Traffic Applications
by: Deng, Chuhao, et al.
Published: (2024)
by: Deng, Chuhao, et al.
Published: (2024)
Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey
by: Cho, Seunghyuk, et al.
Published: (2025)
by: Cho, Seunghyuk, et al.
Published: (2025)
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
by: Cho, Seunghyuk, et al.
Published: (2025)
by: Cho, Seunghyuk, et al.
Published: (2025)
FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting
by: Li, Xiangyu, et al.
Published: (2026)
by: Li, Xiangyu, et al.
Published: (2026)
Facilitating Trustworthy Human-Agent Collaboration in LLM-based Multi-Agent System oriented Software Engineering
by: Ronanki, Krishna
Published: (2025)
by: Ronanki, Krishna
Published: (2025)
When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
by: Choi, Hyeong Kyu, et al.
Published: (2025)
by: Choi, Hyeong Kyu, et al.
Published: (2025)
PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints
by: Park, Minjun, et al.
Published: (2026)
by: Park, Minjun, et al.
Published: (2026)
Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
by: Choi, Hyeong Kyu, et al.
Published: (2025)
by: Choi, Hyeong Kyu, et al.
Published: (2025)
Time-To-Reach Separation and Safety Filtering for Safe, Fair, and Efficient Multi-Agent Coordination
by: Low, Matthew, et al.
Published: (2026)
by: Low, Matthew, et al.
Published: (2026)
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
by: Moon, Saemi, et al.
Published: (2024)
by: Moon, Saemi, et al.
Published: (2024)
Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
by: Kim, Juhee, et al.
Published: (2025)
by: Kim, Juhee, et al.
Published: (2025)
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
by: Kim, Seongmin, et al.
Published: (2026)
by: Kim, Seongmin, et al.
Published: (2026)
AgentSearchBench: A Benchmark for AI Agent Search in the Wild
by: Wu, Bin, et al.
Published: (2026)
by: Wu, Bin, et al.
Published: (2026)
An Empirical Study of Group Conformity in Multi-Agent Systems
by: Choi, Min, et al.
Published: (2025)
by: Choi, Min, et al.
Published: (2025)
Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
by: Choi, Han-Jun, et al.
Published: (2024)
by: Choi, Han-Jun, et al.
Published: (2024)
Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models
by: Choi, Younwoo, et al.
Published: (2025)
by: Choi, Younwoo, et al.
Published: (2025)
Posterior Label Smoothing for Node Classification
by: Heo, Jaeseung, et al.
Published: (2024)
by: Heo, Jaeseung, et al.
Published: (2024)
COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network
by: Zhang, Xingjian, et al.
Published: (2025)
by: Zhang, Xingjian, et al.
Published: (2025)
Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning
by: Chen, Rex, et al.
Published: (2025)
by: Chen, Rex, et al.
Published: (2025)
CogSearch: A Cognitive-Aligned Multi-Agent Framework for Proactive Decision Support in E-Commerce Search
by: Zhai, Zhouwei, et al.
Published: (2026)
by: Zhai, Zhouwei, et al.
Published: (2026)
Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework
by: Park, Hyunjee, et al.
Published: (2026)
by: Park, Hyunjee, et al.
Published: (2026)
Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering
by: Shi, Lu, et al.
Published: (2024)
by: Shi, Lu, et al.
Published: (2024)
Interactive Distillation for Cooperative Multi-Agent Reinforcement Learning
by: Cho, Minwoo, et al.
Published: (2026)
by: Cho, Minwoo, et al.
Published: (2026)
Similar Items
-
In-Place Feedback: Reliable Refinement for Multi-Turn Expert-LLM Collaboration
by: Choi, Youngbin, et al.
Published: (2025) -
The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
by: Park, MoonJeong, et al.
Published: (2025) -
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
by: Park, MoonJeong, et al.
Published: (2024) -
Routing by Reaching: Composition of Pre-trained GFlowNets for Multi-Objective Generation
by: Yoon, Seokwon, et al.
Published: (2026) -
Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023)