Zhengfu He
5 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Hot Topic Early Bird
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The Questioner
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Research topics
Artificial Intelligence
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Deep Learning
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Natural Language Processing
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Architectures
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Core AI
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Learning Paradigms · Artificial Intelligence
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Machine Learning
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Applications
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Learning Paradigms · Machine Learning
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Optimization & Theory
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Keywords
large language model
(2)
prompt tuning
(2)
few-shot learning
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compositional generalization
(1)
feature similarity
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generative model
(1)
state space model
(1)
diffusion model
(1)
supervised fine-tuning
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discrete diffusion
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parameter-efficient tuning
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mechanistic interpretability
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sparse autoencoder
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alignment method
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gradient-free optimization
(1)
knowledge-intensive task
(1)
continuous prompt
(1)
open-domain question answering
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modular prompt
(1)
multi-task pretraining
(1)
Papers
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
ICLR 2025
Can AI Assistants Know What They Don’t Know?
ICML 2024
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
ACL 2023
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning
ACL 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models
EMNLP 2022