Papers by Yucong Wang

2 papers
A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems (2025.emnlp-main)

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Challenge: Existing model-based channel prediction methods suffer from limited accuracy due to imperfect temporal modeling, while existing AI-based methods suffers from limited generalization due to inadequate training strategies.
Approach: They propose a generative pre-trained language model for channel prediction based on channel correlation and train it based upon transformer decoder architecture.
Outcome: The proposed model can learn various channel characteristics and perform impressive tasks across multiple dimensions.
Model-Based Imaginative Planning for Embodied Agents (2026.acl-long)

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Challenge: a lightweight world model converts raw pixels into object-centric symbolic states amenable to language-based reasoning . IMPLEMENT is a framework for grounding language agents in visual embodied environments .
Approach: They propose a model-based reasoning framework that enables frozen large language models to perform imaginative planning.
Outcome: The proposed framework can be used to ground language agents in visual embodied environments.

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