Wenyang Hu
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Core AI
(5)
Optimization & Theory
(4)
Resources & Methods
(3)
Deep Learning
(2)
Core Methods
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Keywords
large language model
(5)
neural bandit
(2)
prompt optimization
(2)
in-context learning
(2)
prompt engineering
(2)
transformer
(1)
gaussian process
(1)
connectionist temporal classification
(1)
convergence
(1)
exemplar selection
(1)
inverse problem
(1)
language model
(1)
zeroth-order optimization
(1)
scaling law
(1)
model ensemble
(1)
communication overhead
(1)
instruction optimization
(1)
local optima
(1)
graph convolutional network
(1)
scene text recognition
(1)
Papers
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks
EMNLP 2025
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
ICML 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
Localized Zeroth-Order Prompt Optimization
NeurIPS 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
NeurIPS 2024
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
ICML 2024
GTC: Guided Training of CTC towards Efficient and Accurate Scene Text Recognition
AAAI 2020