Qingru Zhang
11 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5)
🌈
Renaissance Researcher
(5)
🤝
Dynamic Duo
(10)
👑
Triple Crown
🔥
Unstoppable
(5)
💎
Century Club
(11)
⚡
Prolific Year
(5)
Conferences
ICML (3)
NIPS (3)
EMNLP (2)
ICLR (2)
NAACL (1)
Top co-authors
Keywords
model compression
(3)
language model
(2)
knowledge distillation
(2)
neural network pruning
(2)
language model alignment
(1)
preference learning
(1)
uncertainty quantification
(1)
language modeling
(1)
reward modeling
(1)
preference optimization
(1)
model pruning
(1)
computational efficiency
(1)
reinforcement learning from human feedback
(1)
low-rank approximation
(1)
sparse approximation
(1)
outlier detection
(1)
attention mechanism
(1)
lipschitz continuity
(1)
robust learning
(1)
multi-agent reinforcement learning
(1)
Papers
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
EMNLP 2025
Robust Reinforcement Learning from Corrupted Human Feedback
NIPS 2024
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs
ICLR 2024
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
ICLR 2023
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation
ICML 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
NIPS 2023
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
ICML 2023
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer
EMNLP 2023
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation
NAACL 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance
ICML 2022
A Biased Graph Neural Network Sampler with Near-Optimal Regret
NIPS 2021