Yaru Hao
15 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(27)
π€
Dynamic Duo
(13)
β
The Questioner
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
π₯
Unstoppable
(7)
π
Century Club
(14)
Conferences
ACL (4)
ICLR (3)
AAAI (2)
IJCNLP (2)
NIPS (2)
AACL (1)
EMNLP (1)
Top co-authors
Keywords
transfer learning
(3)
reinforcement learning
(2)
language model pretraining
(2)
few-shot learning
(2)
in-context learning
(2)
representation learning
(2)
loss landscape
(2)
visual question answering
(1)
masked language model
(1)
feature extraction
(1)
learning dynamics
(1)
factual knowledge
(1)
text-to-image generation
(1)
neural network optimization
(1)
knowledge representation
(1)
language model
(1)
adversarial attack
(1)
gradient descent
(1)
knowledge editing
(1)
attention mechanism
(1)
Papers
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
ACL 2026
Data Selection via Optimal Control for Language Models
ICLR 2025
Grounding Multimodal Large Language Models to the World
ICLR 2024
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
ACL 2023
Language Is Not All You Need: Aligning Perception with Language Models
NIPS 2023
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes
AAAI 2023
Optimizing Prompts for Text-to-Image Generation
NIPS 2023
Prototypical Calibration for Few-shot Learning of Language Models
ICLR 2023
Knowledge Neurons in Pretrained Transformers
ACL 2022
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
AAAI 2021
Learning to Sample Replacements for ELECTRA Pre-Training
ACL 2021
Learning to Sample Replacements for ELECTRA Pre-Training
IJCNLP 2021
Investigating Learning Dynamics of BERT Fine-Tuning
AACL 2020
Visualizing and Understanding the Effectiveness of BERT
IJCNLP 2019
Visualizing and Understanding the Effectiveness of BERT
EMNLP 2019