Zhaoxuan Tan
22 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (9)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(63)
π₯
Mega-Team
(22)
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Dynamic Duo
(12)
β
The Questioner
(3)
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Prolific Year
(6)
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Century Club
(21)
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Keyword Collector
(116)
Conferences
ACL (10)
EMNLP (7)
NAACL (2)
NIPS (2)
AAAI (1)
Top co-authors
Research topics
Keywords
large language model
(14)
graph neural network
(4)
social media analysis
(4)
model utility
(3)
prompt engineering
(3)
bot detection
(3)
parameter-efficient fine-tuning
(3)
machine unlearning
(3)
heterogeneous information network
(3)
twitter bot detection
(2)
knowledge editing
(2)
misinformation detection
(2)
personalized language model
(2)
graph reasoning
(2)
parameter efficient fine tuning
(2)
knowledge graph
(2)
privacy preservation
(2)
node classification
(2)
in-context learning
(1)
text classification
(1)
Papers
Instant Personalized Large Language Model Adaptation via Hypernetwork
ACL 2026
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts
ACL 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
ACL 2025
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench
NAACL 2025
IHEval: Evaluating Language Models on Following the Instruction Hierarchy
NAACL 2025
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection
ACL 2024
Large Language Models Can Self-Correct with Key Condition Verification
EMNLP 2024
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
EMNLP 2024
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
EMNLP 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
ACL 2024
Towards Safer Large Language Models through Machine Unlearning
ACL 2024
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
ACL 2024
Can Language Models Solve Graph Problems in Natural Language?
NIPS 2023
Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks
EMNLP 2023
BotPercent: Estimating Bot Populations in Twitter Communities
EMNLP 2023
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
ACL 2023
TwiBot-22: Towards Graph-Based Twitter Bot Detection
NIPS 2022
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers
AAAI 2022
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
EMNLP 2022