Image de couverture de livre

HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Mingju, Lv, Can, Zhang, Guibin, Chang, Heng, Zhou, Shiji
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A-MapReduce: Executing Wide Search via Agentic MapReduce
par: Chen, Mingju, et autres
Publié: (2026)

All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution
par: Lv, Can, et autres
Publié: (2026)

UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind
par: Qian, Cheng, et autres
Publié: (2026)

Training with Harnesses: On-Policy Harness Self-Distillation for Complex Reasoning
par: Zhao, Zhengyang, et autres
Publié: (2026)

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses
par: Lin, Jiahang, et autres
Publié: (2026)

FinHarness: An Inline Lifecycle Safety Harness for Finance LLM Agents
par: Jia, Haoxuan, et autres
Publié: (2026)

Code as Agent Harness
par: Ning, Xuying, et autres
Publié: (2026)

Auditing Agent Harness Safety
par: Liu, Chengzhi, et autres
Publié: (2026)

HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning
par: Liu, Yujian, et autres
Publié: (2025)

MemEvolve: Meta-Evolution of Agent Memory Systems
par: Zhang, Guibin, et autres
Publié: (2025)

Natural-Language Agent Harnesses
par: Pan, Linyue, et autres
Publié: (2026)

Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents
par: Wang, Jiawei, et autres
Publié: (2025)

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
par: Jiang, Pengcheng, et autres
Publié: (2026)

Scaling Laws for Agent Harnesses via Effective Feedback Compute
par: Zhang, Xuanliang, et autres
Publié: (2026)

ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild
par: Yang, Bufang, et autres
Publié: (2025)

TodoEvolve: Learning to Architect Agent Planning Systems
par: Liu, Jiaxi, et autres
Publié: (2026)

A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
par: Hu, Zhengmian, et autres
Publié: (2024)

VeRO: An Evaluation Harness for Agents to Optimize Agents
par: Ursekar, Varun, et autres
Publié: (2026)

AgentCTG: Harnessing Multi-Agent Collaboration for Fine-Grained Precise Control in Text Generation
par: Zhou, Xinxu, et autres
Publié: (2025)

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering
par: Wei, Yanbin, et autres
Publié: (2025)

Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning
par: Wu, Fei, et autres
Publié: (2026)

Is Grep All You Need? How Agent Harnesses Reshape Agentic Search
par: Sen, Sahil, et autres
Publié: (2026)

Effective Harness Engineering for Algorithm Discovery with Coding Agents
par: Ishibashi, Yoichi, et autres
Publié: (2026)

HIVE: Harnessing Human Feedback for Instructional Visual Editing
par: Zhang, Shu, et autres
Publié: (2023)

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems
par: Li, Zherui, et autres
Publié: (2025)

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
par: Xu, Derong, et autres
Publié: (2024)

Harnessing Deep LLM Participation for Robust Entity Linking
par: Hou, Jiajun, et autres
Publié: (2025)

Harnessing the Plug-and-Play Controller by Prompting
par: Wang, Hao, et autres
Publié: (2024)

MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
par: Zhang, Guibin, et autres
Publié: (2025)

StraGo: Harnessing Strategic Guidance for Prompt Optimization
par: Wu, Yurong, et autres
Publié: (2024)

It's Not the Capability: Harness Sensitivity Is Non-Monotone Across LLM Agent Tiers
par: Cho, Yong-eun
Publié: (2026)

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs
par: Wu, Xueqing, et autres
Publié: (2024)

Harnessing Large Language Models as Post-hoc Correctors
par: Zhong, Zhiqiang, et autres
Publié: (2024)

(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
par: Wu, Minghao, et autres
Publié: (2024)

CoinMath: Harnessing the Power of Coding Instruction for Math LLMs
par: Wei, Chengwei, et autres
Publié: (2024)

Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
par: Wang, Rui, et autres
Publié: (2025)

ETCHR: Editing To Clarify and Harness Reasoning
par: Zhang, Beichen, et autres
Publié: (2026)

LongAct: Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning
par: Ping, Bowen, et autres
Publié: (2026)

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents
par: Shao, Chenyang, et autres
Publié: (2025)

Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation
par: Zhang, Chenghao, et autres
Publié: (2026)