Tao Liang
9 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (5) π Cross-Pollinator (12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(29)
Conferences
ACL (2)
CVPR (2)
EMNLP (2)
ICCV (2)
AAAI (1)
Top co-authors
Research topics
Keywords
reward model
(2)
sparse autoencoder
(2)
multimodal learning
(2)
domain adaptation
(2)
large language model
(2)
knowledge distillation
(1)
curriculum learning
(1)
transfer learning
(1)
feature attribution
(1)
video understanding
(1)
model editing
(1)
instruction tuning
(1)
low-resource language
(1)
language model
(1)
feature extraction
(1)
instruction fine-tuning
(1)
model failure
(1)
synthetic datum
(1)
mechanistic interpretability
(1)
knowledge editing
(1)
Papers
Interpretable Reward Model via Sparse Autoencoder
AAAI 2026
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts
ACL 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
Route Sparse Autoencoder to Interpret Large Language Models
EMNLP 2025
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment
ICCV 2025
Expanding Large Pre-Trained Unimodal Models With Multimodal Information Injection for Image-Text Multimodal Classification
CVPR 2022
Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis
EMNLP 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