3 papers
cs.AI2026
Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
Lin Shi, Haowei Lin, Zixuan Zhu +123
Evaluating agents on the growing number of agentic benchmarks is challenging because they often require complex environments and agent integrations. We introduce Harbor Adapters, a…
cs.DC2026
CommBench: Can LLMs Write Correct and Efficient GPU Communication Code?
Shuang Ma, Yuyi Li, Yihan Zhang +12
Training and serving large language models (LLMs) rely heavily on high-performance GPU communication, yet implementing efficient GPU communication primitives requires deep expertis…
cs.CR2026
SOK: A Taxonomy of Attack Vectors and Defense Strategies for Agentic Supply Chain Runtime
Xiaochong Jiang, Shiqi Yang, Wenting Yang +2
Agentic systems based on large language models (LLMs) operate not merely as text generators but as autonomous entities that dynamically retrieve information and invoke tools. This…