Jiuhai Chen
14 papers · 2022–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (34) 🗃️ Keyword Collector (67)
💎
Century Club · Bronze
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The Questioner
(4)
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Prolific Year · Productive
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Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(7)
Natural Language Processing
(6)
Resources & Methods
(6)
Deep Learning
(5)
Learning Types · Deep Learning
(5)
Optimization & Theory
(4)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Models
(3)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Keywords
large language model
(5)
graph neural network
(3)
instruction tuning
(3)
node classification
(2)
vision-language model
(2)
uncertainty quantification
(1)
label propagation
(1)
few-shot learning
(1)
in-context learning
(1)
data augmentation
(1)
question answering
(1)
response generation
(1)
text generation
(1)
multimodal learning
(1)
ensemble learning
(1)
loss landscape
(1)
natural language understanding
(1)
knowledge distillation
(1)
modality alignment
(1)
visual representation
(1)
Papers
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
NAACL 2025
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion
CVPR 2025
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
ACL 2024
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
NAACL 2024
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models
ICML 2024
Multi-Objective Linguistic Control of Large Language Models
ACL 2024
ODIN: Disentangled Reward Mitigates Hacking in RLHF
ICML 2024
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
ACL 2024
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
ACL 2024
GOAT: A Global Transformer on Large-scale Graphs
ICML 2023
How Many Demonstrations Do You Need for In-context Learning?
EMNLP 2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer
EMNLP 2023
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features
ICLR 2022
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
ICLR 2022