Yanshuai Cao
23 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(52)
π
Triple Crown
π§¬
Topic Evolution
π
Grand Slam
β
The Questioner
(2)
ποΈ
Keyword Collector
(98)
π
Century Club
(23)
π
Conference Pioneer
β‘
Prolific Year
(5)
π
Trend Setter
Conferences
ACL (6)
IJCNLP (4)
ICLR (3)
ICML (3)
NIPS (3)
EMNLP (2)
AAAI (1)
AISTATS (1)
Top co-authors
Keywords
semantic parsing
(7)
representation learning
(3)
variational autoencoder
(2)
large language model
(2)
globally normalized model
(2)
small dataset
(2)
label bia
(2)
transformer optimization
(2)
context-free grammar
(2)
deep transformer
(2)
model initialization
(2)
initialization scheme
(2)
code generation
(2)
transformer model
(2)
natural language generation
(2)
knowledge distillation
(1)
automated planning
(1)
adversarial learning
(1)
hyperparameter optimization
(1)
ensemble learning
(1)
Papers
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
AAAI 2025
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation
EMNLP 2025
Jump Starting Bandits with LLM-Generated Prior Knowledge
EMNLP 2024
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
NIPS 2024
Ensemble Distillation for Unsupervised Constituency Parsing
ICLR 2024
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
NIPS 2024
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
ICML 2024
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
ICLR 2023
A Globally Normalized Neural Model for Semantic Parsing
IJCNLP 2021
Optimizing Deeper Transformers on Small Datasets
ACL 2021
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data
ACL 2021
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
ACL 2021
A Globally Normalized Neural Model for Semantic Parsing
ACL 2021
Optimizing Deeper Transformers on Small Datasets
IJCNLP 2021
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data
IJCNLP 2021
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
IJCNLP 2021
On Variational Learning of Controllable Representations for Text without Supervision
ICML 2020
Evaluating Lossy Compression Rates of Deep Generative Models
ICML 2020
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
AISTATS 2020
A Cross-Domain Transferable Neural Coherence Model
ACL 2019
Adversarial Contrastive Estimation
ACL 2018
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
ICLR 2018
Efficient Optimization for Sparse Gaussian Process Regression
NIPS 2013