Mingyi Hong
- Papers
- 14
Cite
Notes
Only stored in your browser.
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
Learning Explainable Dense Reward Shapes via Bayesian Optimization
arXiv 2025
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
arXiv 2025
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
arXiv 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
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
Affiliations
Frequent co-authors
10from 14 papers