Copertina

AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Haoyu, Poskitt, Christopher M., Sun, Jun
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety
di: Wang, Haoyu, et al.
Pubblicazione: (2025)

From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
di: Yue, Ling, et al.
Pubblicazione: (2026)

SafeRx-Agent: A Knowledge-Grounded Multi-Agent Framework for Safe and Explainable Medication Recommendation
di: Wang, Xinyu, et al.
Pubblicazione: (2026)

Causal Past Logic for Runtime Verification of Distributed LLM Agent Workflows
di: Bollig, Benedikt
Pubblicazione: (2026)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents
di: Hua, Wenyue, et al.
Pubblicazione: (2024)

SafeSearch: Automated Red-Teaming of LLM-Based Search Agents
di: Dong, Jianshuo, et al.
Pubblicazione: (2025)

AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning
di: Ding, Liang
Pubblicazione: (2026)

Agent Behavioral Contracts: Formal Specification and Runtime Enforcement for Reliable Autonomous AI Agents
di: Bhardwaj, Varun Pratap
Pubblicazione: (2026)

SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents
di: Zhao, Bingchen, et al.
Pubblicazione: (2026)

MIRIX: Multi-Agent Memory System for LLM-Based Agents
di: Wang, Yu, et al.
Pubblicazione: (2025)

COMAP: Co-Evolving World Models and Agent Policies for LLM Agents
di: Liu, Youwei, et al.
Pubblicazione: (2026)

RvLLM: LLM Runtime Verification with Domain Knowledge
di: Zhang, Yedi, et al.
Pubblicazione: (2025)

From Biased Chatbots to Biased Agents: Examining Role Assignment Effects on LLM Agent Robustness
di: Cao, Linbo, et al.
Pubblicazione: (2026)

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
di: Zhang, Haozhen, et al.
Pubblicazione: (2026)

Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents
di: Wang, Jingxing, et al.
Pubblicazione: (2026)

AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
di: Wang, Zhexuan, et al.
Pubblicazione: (2025)

LLMs as On-demand Customizable Service
di: Sarkar, Souvika, et al.
Pubblicazione: (2024)

SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
di: Wang, Lichao, et al.
Pubblicazione: (2026)

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
di: Zhou, Hang, et al.
Pubblicazione: (2024)

ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
di: Zheng, Jingnan, et al.
Pubblicazione: (2024)

Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
di: Zhang, Zhiwei, et al.
Pubblicazione: (2025)

SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
di: Sun, Ryan, et al.
Pubblicazione: (2024)

Preference-Aware Memory Update for Long-Term LLM Agents
di: Sun, Haoran, et al.
Pubblicazione: (2025)

Exploring the Necessity of Reasoning in LLM-based Agent Scenarios
di: Zhou, Xueyang, et al.
Pubblicazione: (2025)

Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents
di: Sun, Haoran, et al.
Pubblicazione: (2025)

Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
di: Song, Yueqi, et al.
Pubblicazione: (2025)

DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
di: Li, Guanghao, et al.
Pubblicazione: (2025)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
di: Li, Binxu, et al.
Pubblicazione: (2024)

Beyond Static Summarization: Proactive Memory Extraction for LLM Agents
di: Yang, Chengyuan, et al.
Pubblicazione: (2026)

On the Structural Memory of LLM Agents
di: Zeng, Ruihong, et al.
Pubblicazione: (2024)

Evaluating Tool-Using Language Agents: Judge Reliability, Propagation Cascades, and Runtime Mitigation in AgentProp-Bench
di: Gurram, Bhaskar
Pubblicazione: (2026)

AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
di: Kartik, NVJK, et al.
Pubblicazione: (2025)

Adapting LLM Agents with Universal Feedback in Communication
di: Wang, Kuan, et al.
Pubblicazione: (2023)

Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
di: Deng, Shihan, et al.
Pubblicazione: (2024)

Insight Agents: An LLM-Based Multi-Agent System for Data Insights
di: Bai, Jincheng, et al.
Pubblicazione: (2026)

AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling
di: Ding, Liang
Pubblicazione: (2026)

Agent-OM: Leveraging LLM Agents for Ontology Matching
di: Qiang, Zhangcheng, et al.
Pubblicazione: (2023)

MIRAI: Evaluating LLM Agents for Event Forecasting
di: Ye, Chenchen, et al.
Pubblicazione: (2024)

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation
di: Yu, Ye, et al.
Pubblicazione: (2026)

GroundAct: Can LLM Agents Ground Actions in Environmental States?
di: Wang, Zixuan, et al.
Pubblicazione: (2025)