Author

Yexin Liu

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Jul 2026

Game Theory Driven Multi-Agent Framework Mitigates Language Model Hallucination

G-Frame, an adaptive multi-agent framework integrating Bayesian and team game principles, establishes an automated closed-loop for high-quality data synthesis and model training and synthesizes a specialized corpus of 363,045 chains-of-thought and 199,589 question-answer pairs.

Runzhe Liu, Biquan Bie, Zi-Hao Wang et al. · arXiv.org · 0 citations

Jul 2026

Distributional Matching for Vector Quantization: A Unified Theoretical and Empirical Framework

This work introduces principled criteria for desirable VQ behavior and demonstrates that aligning feature and code vector distributions provides a unifying mechanism for mitigating training instability and codebook collapse, and instantiate this framework using a Wasserstein-based objective with an efficient closed-for...

Xia Fang, Litao Guo, Hengchao Chen et al. · arXiv.org · 1 citation