Yanshuai Cao
19 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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(2)
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Research topics
Machine Learning
(14)
Natural Language Processing
(11)
Learning Types Β· Machine Learning
(10)
Artificial Intelligence
(9)
Deep Learning
(8)
Optimization & Theory
(8)
Core AI
(7)
Applications
(6)
Learning Types Β· Deep Learning
(4)
Architectures
(3)
Core Methods
(3)
Generation
(3)
Resources & Methods
(3)
Knowledge & Reasoning
(2)
Learning Paradigms
(2)
Keywords
semantic parsing
(4)
representation learning
(3)
large language model
(2)
knowledge distillation
(2)
ensemble method
(2)
variational autoencoder
(2)
generative adversarial network
(2)
adversarial learning
(1)
variational inference
(1)
reinforcement learning
(1)
domain generalization
(1)
ensemble learning
(1)
hyperparameter optimization
(1)
automated planning
(1)
online learning
(1)
contrastive learning
(1)
model evaluation
(1)
multilingual translation
(1)
dialogue generation
(1)
state abstraction
(1)
Papers
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation
EMNLP 2025
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
AAAI 2025
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
NeurIPS 2024
Ensemble Distillation for Unsupervised Constituency Parsing
ICLR 2024
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
ICML 2024
Jump Starting Bandits with LLM-Generated Prior Knowledge
EMNLP 2024
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
NeurIPS 2024
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
ICLR 2023
A Globally Normalized Neural Model for Semantic Parsing
ACL 2021
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data
ACL 2021
Optimizing Deeper Transformers on Small Datasets
ACL 2021
TURING: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface
ACL 2021
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
AISTATS 2020
Evaluating Lossy Compression Rates of Deep Generative Models
ICML 2020
On Variational Learning of Controllable Representations for Text without Supervision
ICML 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
NeurIPS 2013