Yaru Hao
13 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Artificial Intelligence
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Machine Learning
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Natural Language Processing
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few-shot learning
(3)
in-context learning
(3)
reinforcement learning
(2)
transfer learning
(2)
multimodal large language model
(2)
representation learning
(2)
language model
(2)
visual question answering
(1)
masked language model
(1)
feature extraction
(1)
gradient descent
(1)
factual knowledge
(1)
referring expression
(1)
visual grounding
(1)
knowledge representation
(1)
optimal control
(1)
loss landscape
(1)
neural network optimization
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text-to-image generation
(1)
knowledge editing
(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
Language Is Not All You Need: Aligning Perception with Language Models
NeurIPS 2023
Optimizing Prompts for Text-to-Image Generation
NeurIPS 2023
Prototypical Calibration for Few-shot Learning of Language Models
ICLR 2023
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes
AAAI 2023
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
ACL 2023
Knowledge Neurons in Pretrained Transformers
ACL 2022
Learning to Sample Replacements for ELECTRA Pre-Training
ACL 2021
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer
AAAI 2021
Investigating Learning Dynamics of BERT Fine-Tuning
AACL 2020
Visualizing and Understanding the Effectiveness of BERT
EMNLP 2019