Qingru Zhang
11 papers · 2021–2025 · 5 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π€ Dynamic Duo (10)
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Optimization & Theory Β· Machine Learning
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model compression
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knowledge distillation
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pre-trained language model
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neural network pruning
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language model
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preference learning
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language model alignment
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uncertainty quantification
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preference optimization
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language modeling
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reward modeling
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computational efficiency
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reinforcement learning from human feedback
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low-rank approximation
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model pruning
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sparse approximation
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outlier detection
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singular value decomposition
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lipschitz continuity
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attention mechanism
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Papers
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
EMNLP 2025
Robust Reinforcement Learning from Corrupted Human Feedback
NeurIPS 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
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer
EMNLP 2023
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
ICML 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
NeurIPS 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
NeurIPS 2021