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Shujian Zhang

25 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+11 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (7)
πŸ—ΊοΈ Taxonomy Completionist (41) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ’Ž Century Club (24) πŸ—ƒοΈ Keyword Collector (81) πŸ”₯ Unstoppable (6)

Conferences

ICLR (5) ICML (5) NIPS (5) ACL (3) EMNLP (3) NAACL (2) CVPR (1) IJCNLP (1)

Papers

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe ACL 2026 Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models ICLR 2025 Statistical Advantages of Perturbing Cosine Router in Mixture of Experts ICLR 2025 T-REG: Preference Optimization with Token-Level Reward Regularization ACL 2025 Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy ICLR 2025 Sliced Wasserstein with Random-Path Projecting Directions ICML 2024 LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows NAACL 2024 Switchable Decision: Dynamic Neural Generation Networks ICML 2024 WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP 2024 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 Preference-grounded Token-level Guidance for Language Model Fine-tuning NIPS 2023 FlowGrad: Controlling the Output of Generative ODEs With Gradients CVPR 2023 POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models ICML 2023 A Unified Framework for Alternating Offline Model Training and Policy Learning NIPS 2022 Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models EMNLP 2022 ALLSH: Active Learning Guided by Local Sensitivity and Hardness NAACL 2022 Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022 Knowing More About Questions Can Help: Improving Calibration in Question Answering ACL 2021 Knowing More About Questions Can Help: Improving Calibration in Question Answering IJCNLP 2021 A Prototype-Oriented Framework for Unsupervised Domain Adaptation NIPS 2021 Contextual Dropout: An Efficient Sample-Dependent Dropout Module ICLR 2021 Learning with Different Amounts of Annotation: From Zero to Many Labels EMNLP 2021 Bayesian Attention Belief Networks ICML 2021 Alignment Attention by Matching Key and Query Distributions NIPS 2021 Bayesian Attention Modules NIPS 2020