Shufan Wang
15 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (46) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Collector
(81)
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
💎
Century Club · Bronze
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Renaissance Researcher
(5)
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Research topics
Machine Learning
(14)
Learning Types · Machine Learning
(11)
Artificial Intelligence
(6)
Natural Language Processing
(6)
Generation
(5)
Deep Learning
(4)
Application Areas
(3)
Applications
(3)
Core AI
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Methods
(2)
Keywords
regret bound
(3)
semantic similarity
(3)
reinforcement learning
(2)
restless multi-armed bandit
(2)
large language model
(2)
in-context learning
(2)
contrastive learning
(2)
retrieval-augmented language model
(2)
markov decision process
(2)
text generation
(2)
online learning
(1)
language modeling
(1)
multi-label classification
(1)
sample complexity
(1)
semantic parsing
(1)
few-shot learning
(1)
prompt engineering
(1)
temporal difference learning
(1)
dense retrieval
(1)
online decision making
(1)
Papers
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
ICLR 2025
Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning
ICLR 2025
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
AAAI 2024
kNN-LM Does Not Improve Open-ended Text Generation
EMNLP 2023
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
EMNLP 2023
Robustness of Named-Entity Replacements for In-Context Learning
EMNLP 2023
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
EMNLP 2022
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness
NeurIPS 2022
Modeling Exemplification in Long-form Question Answering via Retrieval
NAACL 2022
Parametric Bootstrap for Differentially Private Confidence Intervals
AISTATS 2022
You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM
EMNLP 2022
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
EMNLP 2021
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
NeurIPS 2020
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
EMNLP 2020
Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism
NAACL 2019