Yujin Tang
12 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver πΊοΈ Taxonomy Completionist (24) π Century Club Β· Bronze π Trend Setter
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Research topics
Artificial Intelligence
(10)
Machine Learning
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Core AI
(9)
Application Areas
(5)
Deep Learning
(3)
Natural Language Processing
(3)
Reinforcement Learning
(3)
Learning Types
(3)
Methods
(3)
Architectures
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Core Methods
(1)
Generation
(1)
Keywords
large language model
(4)
reinforcement learning
(2)
foundation model
(2)
locomotion control
(1)
attention mechanism
(1)
transformer
(1)
transfer learning
(1)
forward model
(1)
visual recognition
(1)
episodic memory
(1)
resource allocation
(1)
reward function
(1)
generalization
(1)
state space model
(1)
parameter-efficient fine-tuning
(1)
model merging
(1)
zero-shot generalization
(1)
model fine-tuning
(1)
sparse reward
(1)
black-box optimization
(1)
Papers
Agent Skill Acquisition for Large Language Models via CycleQD
ICLR 2025
An Evolved Universal Transformer Memory
ICLR 2025
Large Language Models to Diffusion Finetuning
ICML 2025
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
CVPR 2025
Text-to-LoRA: Instant Transformer Adaption
ICML 2025
Transformer-Squared: Self-adaptive LLMs
ICLR 2025
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
ICML 2024
Position: Leverage Foundational Models for Black-Box Optimization
ICML 2024
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards
IJCAI 2023
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
NeurIPS 2023
SayTap: Language to Quadrupedal Locomotion
CoRL 2023
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
NeurIPS 2021