Hanzhang Zhou
12 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (19)
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Interdisciplinary Bridge
π€
Dynamic Duo
(10)
β‘
Prolific Year
(6)
π₯
Unstoppable
(5)
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Century Club
(10)
Conferences
NAACL (4)
ACL (3)
EACL (2)
EMNLP (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
text classification
(3)
in-context learning
(3)
model interpretability
(2)
event argument extraction
(2)
universum class
(2)
document-level extraction
(2)
feature space
(1)
attention mechanism
(1)
feature extraction
(1)
prompt-based learning
(1)
explanation generation
(1)
multi-label classification
(1)
model robustness
(1)
language model
(1)
bias mitigation
(1)
sample selection
(1)
named entity recognition
(1)
decision boundary
(1)
autonomous agent
(1)
few-shot learning
(1)
Papers
Rethinking Prompt Optimizers: From Prompt Merits to Optimization
EACL 2026
MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments
ACL 2026
Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning
NAACL 2025
Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction
NAACL 2025
Unveiling and Manipulating Prompt Influence in Large Language Models
ICLR 2024
EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition
NAACL 2024
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
NIPS 2024
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation
ACL 2024
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
ACL 2024
PromptExplainer: Explaining Language Models through Prompt-based Learning
EACL 2024
Closed Boundary Learning for Classification Tasks with the Universum Class
EMNLP 2023
Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss
NAACL 2022