Chenyang Tao
26 papers · 2018–2025 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Conference Polyglot (10) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(49)
π§¬
Topic Evolution
π
Triple Crown
π€
Dynamic Duo
(12)
π
Grand Slam
ποΈ
Keyword Collector
(106)
π
Century Club
(26)
β‘
Prolific Year
(5)
π₯
Unstoppable
(8)
Conferences
NIPS (6)
ICML (5)
ACL (3)
NAACL (3)
AAAI (2)
EMNLP (2)
ICLR (2)
AISTATS (1)
EACL (1)
ECCV (1)
Top co-authors
Keywords
text generation
(5)
generative model
(4)
optimal transport
(4)
variational inference
(4)
generative adversarial network
(3)
adversarial learning
(3)
network embedding
(2)
token probability
(2)
large language model
(2)
variational autoencoder
(2)
contrastive learning
(2)
machine translation
(2)
sequence generation
(2)
mode collapse
(2)
representation learning
(2)
graph representation
(2)
synthetic data generation
(2)
causal inference
(2)
uncertainty estimation
(2)
textual network
(2)
Papers
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
EMNLP 2025
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs
NAACL 2025
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
ECCV 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
ACL 2024
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models
ICML 2024
Unsupervised Melody-to-Lyrics Generation
ACL 2023
PLACES: Prompting Language Models for Social Conversation Synthesis
EACL 2023
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
NIPS 2022
Gradient Importance Learning for Incomplete Observations
ICLR 2022
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
NIPS 2021
Variational Disentanglement for Rare Event Modeling
AAAI 2021
Multi-Grained Knowledge Distillation for Named Entity Recognition
NAACL 2021
Counterfactual Representation Learning with Balancing Weights
AISTATS 2021
APo-VAE: Text Generation in Hyperbolic Space
NAACL 2021
Reconsidering Generative Objectives For Counterfactual Reasoning
NIPS 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Improving Textual Network Embedding with Global Attention via Optimal Transport
ACL 2019
Improving Textual Network Learning with Variational Homophilic Embeddings
NIPS 2019
Variational Annealing of GANs: A Langevin Perspective
ICML 2019
On Fenchel Mini-Max Learning
NIPS 2019
Improving Sequence-to-Sequence Learning via Optimal Transport
ICLR 2019
Adversarial Text Generation via Feature-Mover's Distance
NIPS 2018
Adversarial Time-to-Event Modeling
ICML 2018
Variational Inference and Model Selection with Generalized Evidence Bounds
ICML 2018
Chi-square Generative Adversarial Network
ICML 2018