Tuo Zhao
- Papers
- 19
Cite
Notes
Only stored in your browser.
Authored papers
19Approximation of Log-Partition Function in Policy Mirror Descent Induces Implicit Regularization for LLM Post-Training
arXiv 2026
COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs
arXiv 2025
AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
arXiv 2025
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data
arXiv 2025
Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
arXiv 2025
NoWag: A Unified Framework for Shape Preserving Compression of Large Language Models
arXiv 2025
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
arXiv 2024
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
arXiv 2024
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering
arXiv 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
arXiv 2024
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
arXiv 2023
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
arXiv 2023
AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
arXiv 2023
Deep Reinforcement Learning from Hierarchical Preference Design
arXiv 2023
Machine Learning Force Fields with Data Cost Aware Training
arXiv 2023
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
arXiv 2022
Taming Sparsely Activated Transformer with Stochastic Experts
taming-sparsely-activated-transformer-with-1
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
NAACL 2021 4
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
smart-robust-and-efficient-fine-tuning-for-1
Affiliations
Frequent co-authors
10from 19 papers