Mingyi Hong
- Papers
- 14
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Authored papers
14Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR
arXiv 2026
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
arXiv 2025
Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Credit Assignment
arXiv 2025
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction
arXiv 2025
Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking
arXiv 2025
RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
arXiv 2025
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
arXiv 2025
Learning Explainable Dense Reward Shapes via Bayesian Optimization
arXiv 2025
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
arXiv 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
arXiv 2024
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
arXiv 2024
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
arXiv 2023
Advancing Model Pruning via Bi-level Optimization
arXiv 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
how-to-robustify-black-box-ml-models-a-zeroth
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