Ego2World: Video-Compiled Symbolic Simulation for Embodied Agent Evaluation
A symbolic simulation environment compiled from real kitchen videos for evaluating large-model agents on long-horizon embodied tasks.
Papers, submissions, and research outputs.
A symbolic simulation environment compiled from real kitchen videos for evaluating large-model agents on long-horizon embodied tasks.
A retrieval-control framework for legal consultation based on element coverage, evidence coverage, and marginal gain.
A new natural language embedding neural network method EINN is proposed. By combining the Transformers architecture with the scibert encoder, it achieves accurate viscosity prediction under extreme conditions, extrapolation scenarios, and sparse data situations.
A multilevel-auction and LLM-assisted planning framework for EV charging-station location under preference uncertainty and incentive constraints.