Rongzhi Zhang
12 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(62)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Natural Language Processing
(6)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Application Areas
(5)
Core AI
(4)
Deep Learning
(3)
Resources & Methods
(3)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Applications
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
large language model
(5)
text classification
(4)
data augmentation
(2)
named entity recognition
(2)
active learning
(2)
prompt engineering
(2)
prompt-based learning
(2)
preference learning
(2)
sequence labeling
(1)
knowledge distillation
(1)
few-shot learning
(1)
contrastive learning
(1)
weakly supervised learning
(1)
language model alignment
(1)
reward modeling
(1)
pseudo labeling
(1)
coreference resolution
(1)
text generation
(1)
uncertainty quantification
(1)
zero-shot learning
(1)
Papers
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
EMNLP 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025
Aligning Large Language Models with Representation Editing: A Control Perspective
NeurIPS 2024
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
ACL 2024
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models
ACL 2024
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach
ACL 2023
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval
ACL 2023
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models
NAACL 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
ACL 2022
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
EMNLP 2020
Improving Multi-turn Dialogue Modelling with Utterance ReWriter
ACL 2019