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LLM-based multi-agent systems (MASs) are increasingly used to solve complex tasks through coordinated reasoning, tool use, and interaction with external resources. However, attributing failures in such systems remains challenging because the observed outcome often does not directly reveal the error responsible for the...
Embodied Agents System (EAS) are increasingly deployed in open-world physical domains, where reliability directly dictates deployment quality and human-agent trust. However, existing evaluations rely on outcome-centric metrics as success rate or safety scores that collapse diverse execution trajectories into coarse sco...
TreeRef is proposed, a tree-based molecular representation that assigns molecular topology and topology-dependent local 3D geometry to a naturally variable-size tree and TreeRef-BFN is developed, a Bayesian Flow Network with a standard Transformer backbone that globally couples these locally defined variables and joint...
A novel benchmark for evaluating the task-solving capabilities of LLM agents under dynamic toolset evolution, and proposes 11 mutation operators to simulate realistic tool evolution within 123 MCP servers, establishing MCPEvol-Bench as a standard for evaluating agent adaptability in dynamic tool environments.
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