5 papers
PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems
Kaiwen Jiang, Siya Xu, Ziyue Zhu +3
The rapid growth of AI workloads is turning data centers into large-scale, volatile, yet spatiotemporally flexible grid loads, creating an urgent need for coordinated electricity-c…
ATLAS: All-round Testing of Long-context Abilities across Scales
Deli Huang, Cunguang Wang, Hongyin Tang +15
Long-context language models now advertise context windows up to millions of tokens, yet evaluations typically report a single length or a narrow task family, masking two failure m…
NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models
Ziyue Zhu, Shangyang Wu, Shuai Zhao +8
Vision-Language-Action (VLA) models are formulated to ground instructions in visual context and generate action sequences for robotic manipulation. Despite recent progress, VLA mod…
What Do LLM Agents Know About Their World? Task2Quiz: A Paradigm for Studying Environment Understanding
Siyuan Liu, Hongbang Yuan, Xinze Li +3
Large language model (LLM) agents have demonstrated remarkable capabilities in complex decision-making and tool-use tasks, yet their ability to generalize across varying environmen…
EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents
Xinze Li, Ziyue Zhu, Siyuan Liu +4
We introduce EMemBench, a programmatic benchmark generator for evaluating long-term episodic memory of agents through interactive games. Rather than using a fixed set of questions,…