Henry Peng Zou
18 papers · 2023–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (50) 🌍 Conference Polyglot · Silver 👥 Mega-Team · Squad ⚡ Prolific Year · Productive
💎
Century Club · Bronze
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Research topics
Artificial Intelligence
(14)
Core AI
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Machine Learning
(9)
Natural Language Processing
(8)
Learning Types · Machine Learning
(8)
Deep Learning
(4)
Application Areas
(4)
Applications · Natural Language Processing
(4)
Resources & Methods
(4)
Data Science & Analytics
(3)
Applications · Data Science & Analytics
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Generation
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Learning Paradigms
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Learning Types · Deep Learning
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Optimization & Theory
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Keywords
large language model
(10)
semi-supervised learning
(3)
attribute value extraction
(2)
multimodal large language model
(2)
benchmark evaluation
(2)
text classification
(2)
recommender system
(2)
implicit attribute
(2)
mathematical reasoning
(1)
autonomous driving
(1)
collaborative filtering
(1)
intent classification
(1)
model safety
(1)
ai safety
(1)
multimodal learning
(1)
label noise
(1)
social media analysis
(1)
model alignment
(1)
evaluation framework
(1)
in-context learning
(1)
Papers
Active Generalized Category Discovery with Diverse LLM Feedback
EACL 2026
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
ACL 2026
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
ACL 2026
The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning
EACL 2026
A Survey of RAG-Reasoning Systems in Large Language Models
EMNLP 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
EMNLP 2025
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions
EMNLP 2025
PersonaGym: Evaluating Persona Agents and LLMs
EMNLP 2025
TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
ACL 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
ACL 2025
Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges
COLING 2025
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM
NAACL 2024
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
ACL 2024
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks
EMNLP 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Sequential LLM Framework for Fashion Recommendation
EMNLP 2024
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
EMNLP 2023
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification
EMNLP 2023