Yunzhe Tao
11 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (28) π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (6)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π
Century Club
(11)
ποΈ
Keyword Collector
(56)
Conferences
ACL (4)
NIPS (3)
ICLR (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
knowledge base
(2)
large language model
(2)
pointer network
(2)
reinforcement learning
(2)
dialogue system
(2)
neural network
(2)
knowledge transfer
(1)
network dynamics
(1)
video captioning
(1)
task-oriented dialogue
(1)
text summarization
(1)
policy gradient
(1)
model interpretability
(1)
model uncertainty
(1)
video annotation
(1)
multimodal learning
(1)
spectral analysis
(1)
elastic net
(1)
mixture model
(1)
nash equilibrium
(1)
Papers
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
ACL 2024
DeVAn: Dense Video Annotation for Video-Language Models
ACL 2024
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model
ACL 2024
$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
ICLR 2024
A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems
IJCNLP 2021
A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems
ACL 2021
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
ICML 2021
Robust Multi-Agent Reinforcement Learning with Model Uncertainty
NIPS 2020
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
NIPS 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NIPS 2018
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
IJCAI 2018