RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
Fuente:
arXiv
Saved in:
| Main Authors: | Srivastava, Arunabh, A., Mohammad, Khojastepour, Chakradhar, Srimat, Ulukus, Sennur |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance
by: Mortaheb, Matin, et al.
Published: (2025)
by: Mortaheb, Matin, et al.
Published: (2025)
Re-ranking the Context for Multimodal Retrieval Augmented Generation
by: Mortaheb, Matin, et al.
Published: (2025)
by: Mortaheb, Matin, et al.
Published: (2025)
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
Can We Predict Before Executing Machine Learning Agents?
by: Zheng, Jingsheng, et al.
Published: (2026)
by: Zheng, Jingsheng, et al.
Published: (2026)
Scale-Robust Timely Asynchronous Decentralized Learning
by: Mitra, Purbesh, et al.
Published: (2024)
by: Mitra, Purbesh, et al.
Published: (2024)
Verification-Aware Planning for Multi-Agent Systems
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, et al.
Published: (2025)
Multi-Agent Constraint Factorization Reveals Latent Invariant Solution Structure
by: Scofield, Christopher
Published: (2026)
by: Scofield, Christopher
Published: (2026)
Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline
by: Xu, Jiawei, et al.
Published: (2026)
by: Xu, Jiawei, et al.
Published: (2026)
Multi-Agent Computer Use
by: Koh, Jing Yu, et al.
Published: (2026)
by: Koh, Jing Yu, et al.
Published: (2026)
Communicating Sound Through Natural Language
by: Rossi, Emanuele, et al.
Published: (2026)
by: Rossi, Emanuele, et al.
Published: (2026)
Debate, Deliberate, Decide (D3): A Cost-Aware Adversarial Framework for Reliable and Interpretable LLM Evaluation
by: Harrasse, Abir, et al.
Published: (2024)
by: Harrasse, Abir, et al.
Published: (2024)
Stochastic Self-Organization in Multi-Agent Systems
by: Tastan, Nurbek, et al.
Published: (2025)
by: Tastan, Nurbek, et al.
Published: (2025)
PAACE: A Plan-Aware Automated Agent Context Engineering Framework
by: Yuksel, Kamer Ali
Published: (2025)
by: Yuksel, Kamer Ali
Published: (2025)
ReDAct: Uncertainty-Aware Deferral for LLM Agents
by: Piatrashyn, Dzianis, et al.
Published: (2026)
by: Piatrashyn, Dzianis, et al.
Published: (2026)
Language Agents as Optimizable Graphs
by: Zhuge, Mingchen, et al.
Published: (2024)
by: Zhuge, Mingchen, et al.
Published: (2024)
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems
by: Tastan, Nurbek, et al.
Published: (2026)
by: Tastan, Nurbek, et al.
Published: (2026)
Agents' Room: Narrative Generation through Multi-step Collaboration
by: Huot, Fantine, et al.
Published: (2024)
by: Huot, Fantine, et al.
Published: (2024)
ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network
by: Guo, Minghao, et al.
Published: (2025)
by: Guo, Minghao, et al.
Published: (2025)
G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems
by: Zhang, Guibin, et al.
Published: (2025)
by: Zhang, Guibin, et al.
Published: (2025)
LatentMem: Customizing Latent Memory for Multi-Agent Systems
by: Fu, Muxin, et al.
Published: (2026)
by: Fu, Muxin, et al.
Published: (2026)
MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation
by: Wang, George, et al.
Published: (2025)
by: Wang, George, et al.
Published: (2025)
Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents
by: Thakur, Himanshu, et al.
Published: (2026)
by: Thakur, Himanshu, et al.
Published: (2026)
AutoMedic: An Automated Evaluation Framework for Clinical Conversational Agents with Medical Dataset Grounding
by: Oh, Gyutaek, et al.
Published: (2025)
by: Oh, Gyutaek, et al.
Published: (2025)
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
by: Zhu, Yinghao, et al.
Published: (2025)
by: Zhu, Yinghao, et al.
Published: (2025)
MinionsLLM: a Task-adaptive Framework For The Training and Control of Multi-Agent Systems Through Natural Language
by: Rincon, Andres Garcia, et al.
Published: (2025)
by: Rincon, Andres Garcia, et al.
Published: (2025)
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback
by: Lu, Yuxing, et al.
Published: (2025)
by: Lu, Yuxing, et al.
Published: (2025)
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
by: Seo, Wonduk, et al.
Published: (2025)
by: Seo, Wonduk, et al.
Published: (2025)
Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models
by: Robinson, Sasha, et al.
Published: (2026)
by: Robinson, Sasha, et al.
Published: (2026)
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
by: Cope, Dylan, et al.
Published: (2024)
by: Cope, Dylan, et al.
Published: (2024)
Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models
by: Chen, Chao-Chi, et al.
Published: (2024)
by: Chen, Chao-Chi, et al.
Published: (2024)
Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models
by: Liu, Mickel, et al.
Published: (2025)
by: Liu, Mickel, et al.
Published: (2025)
Image, Word and Thought: A More Challenging Language Task for the Iterated Learning Model
by: Lee, Hyoyeon, et al.
Published: (2026)
by: Lee, Hyoyeon, et al.
Published: (2026)
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning
by: Mittra, Tirthankar
Published: (2024)
by: Mittra, Tirthankar
Published: (2024)
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
by: Sarkar, Bidipta, et al.
Published: (2025)
by: Sarkar, Bidipta, et al.
Published: (2025)
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
by: Zhu, Yuqi, et al.
Published: (2024)
by: Zhu, Yuqi, et al.
Published: (2024)
LLM Agents Making Agent Tools
by: Wölflein, Georg, et al.
Published: (2025)
by: Wölflein, Georg, et al.
Published: (2025)
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
by: Zhou, Han, et al.
Published: (2025)
by: Zhou, Han, et al.
Published: (2025)
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
by: Hua, Wenyue, et al.
Published: (2024)
by: Hua, Wenyue, et al.
Published: (2024)
Recursive Agent Optimization
by: Gandhi, Apurva, et al.
Published: (2026)
by: Gandhi, Apurva, et al.
Published: (2026)
Similar Items
-
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance
by: Mortaheb, Matin, et al.
Published: (2025) -
Re-ranking the Context for Multimodal Retrieval Augmented Generation
by: Mortaheb, Matin, et al.
Published: (2025) -
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
by: Wang, Ziyan, et al.
Published: (2024) -
Can We Predict Before Executing Machine Learning Agents?
by: Zheng, Jingsheng, et al.
Published: (2026) -
Scale-Robust Timely Asynchronous Decentralized Learning
by: Mitra, Purbesh, et al.
Published: (2024)