Tao Liang
10 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Artificial Intelligence
(8)
Deep Learning
(7)
Core AI
(7)
Machine Learning
(6)
Natural Language Processing
(4)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(4)
Resources & Methods
(4)
Computer Vision
(3)
Application Areas
(3)
Generation
(2)
Techniques
(2)
Analysis
(1)
Applications
(1)
Architectures
(1)
Keywords
sparse autoencoder
(2)
large language model
(2)
reward model
(2)
domain adaptation
(2)
multimodal learning
(2)
knowledge distillation
(1)
curriculum learning
(1)
transfer learning
(1)
text-to-image generation
(1)
video understanding
(1)
feature attribution
(1)
model editing
(1)
instruction tuning
(1)
low-resource language
(1)
feature extraction
(1)
pre-trained model
(1)
synthetic data
(1)
language model
(1)
model failure
(1)
knowledge editing
(1)
Papers
Interpretable Reward Model via Sparse Autoencoder
AAAI 2026
Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation
CVPR 2026
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment
ICCV 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
ACL 2025
Route Sparse Autoencoder to Interpret Large Language Models
EMNLP 2025
Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis
EMNLP 2022
Expanding Large Pre-Trained Unimodal Models With Multimodal Information Injection for Image-Text Multimodal Classification
CVPR 2022
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion
ICCV 2021
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer
CVPR 2020