Papers by Yuexiao Ma

2 papers
Automated Fine-Grained Mixture-of-Experts Quantization (2025.findings-acl)

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Challenge: specialized quantization framework for Mixture of Experts architectures is inadequate for model compression.
Approach: They propose a specialized quantization framework for Mixture of Experts architectures . they find that expert networks exhibit distinctive channel-wise outlier distributions ."
Outcome: The proposed framework improves on the Mixtral-8x7b-v0.1 architecture while maintaining minimal computational overhead.
ALGOGEN: Tool-Generated Verifiable Traces for Reliable Algorithm Visualization (2026.findings-acl)

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Challenge: Recent LLM-based systems require simulation of algorithm flow and video rendering constraints.
Approach: They propose a paradigm that decouples algorithm execution from rendering.
Outcome: The proposed paradigm reduces execution success rates, element overlap, and inter-frame inconsistencies.

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