Xingchen Wan
21 papers · 2021–2025 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Conference Polyglot (10) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Cross-Pollinator (13)
π§
Keyword Pioneer
π
Renaissance Researcher
(7)
π
Grand Slam
π
Triple Crown
π₯
Unstoppable
(5)
β
The Questioner
π
Century Club
(21)
π
Trend Setter
ποΈ
Keyword Collector
(82)
β‘
Prolific Year
(8)
Conferences
NIPS (6)
ICLR (4)
EMNLP (3)
ACL (2)
AAAI (1)
AISTATS (1)
AUTOML (1)
ICML (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
large language model
(8)
bayesian optimization
(6)
zero-shot learning
(4)
black-box optimization
(4)
in-context learning
(3)
prompt engineering
(3)
neural architecture search
(2)
prompt optimization
(2)
few-shot learning
(2)
bayesian optimisation
(2)
sample efficiency
(1)
hyperparameter optimization
(1)
kernel design
(1)
graph classification
(1)
active learning
(1)
graph theory
(1)
working memory
(1)
cognitive modeling
(1)
stochastic gradient descent
(1)
prompt-based learning
(1)
Papers
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
ACL 2025
From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation
ICLR 2025
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
ICLR 2024
Bayesian Optimization of Functions over Node Subsets in Graphs
NIPS 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
NIPS 2024
Working Memory Capacity of ChatGPT: An Empirical Study
AAAI 2024
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
EMNLP 2024
UQE: A Query Engine for Unstructured Databases
NIPS 2024
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
AISTATS 2024
Iterate Averaging in the Quest for Best Test Error
JMLR 2024
Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning
EMNLP 2023
Universal Self-Adaptive Prompting
EMNLP 2023
Better Zero-Shot Reasoning with Self-Adaptive Prompting
ACL 2023
Bayesian Optimisation of Functions on Graphs
NIPS 2023
Approximate Neural Architecture Search via Operation Distribution Learning
WACV 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
NIPS 2022
Bayesian Generational Population-Based Training
AUTOML 2022
On Redundancy and Diversity in Cell-based Neural Architecture Search
ICLR 2022
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
ICML 2021
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
ICLR 2021
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
NIPS 2021