Yulin Chen
25 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (5)
π
Academic Marathon
(5)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(63)
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Dynamic Duo
(10)
π§¬
Topic Evolution
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(123)
π
Century Club
(23)
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Trend Setter
π₯
Unstoppable
(5)
β
The Questioner
Conferences
ACL (11)
EMNLP (9)
AAAI (3)
IJCNLP (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(8)
few-shot learning
(6)
named entity recognition
(4)
prompt injection
(4)
zero-shot learning
(3)
entity typing
(2)
masked language modeling
(2)
contextual integrity
(2)
text classification
(2)
language model
(2)
defense method
(2)
parameter-efficient fine-tuning
(2)
adversarial learning
(2)
legal compliance
(2)
prompt learning
(2)
backdoor attack
(2)
entity linking
(2)
instruction following
(2)
adversarial attack
(2)
low-rank adaptation
(2)
Papers
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow
AAAI 2026
ContextLens: Modeling Imperfect Privacy and Safety Context for Legal Compliance
ACL 2026
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory
NAACL 2025
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
AAAI 2025
Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
EMNLP 2025
TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
EMNLP 2025
Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance
EMNLP 2025
Fusing Highly Specialized Language Models for Comprehensive Expertise
ACL 2025
PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance
ACL 2025
Can Indirect Prompt Injection Attacks Be Detected and Removed?
ACL 2025
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
ACL 2025
Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
ACL 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance
ACL 2024
Improving Biomedical Entity Linking with Cross-Entity Interaction
AAAI 2023
Exploring Lottery Prompts for Pre-trained Language Models
ACL 2023
Few-shot Classification with Hypersphere Modeling of Prototypes
ACL 2023
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
EMNLP 2023
Sparse Low-rank Adaptation of Pre-trained Language Models
EMNLP 2023
Revisiting Sparse Retrieval for Few-shot Entity Linking
EMNLP 2023
A Read-and-Select Framework for Zero-shot Entity Linking
EMNLP 2023
Prompt-learning for Fine-grained Entity Typing
EMNLP 2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
EMNLP 2022
OpenPrompt: An Open-source Framework for Prompt-learning
ACL 2022
Few-NERD: A Few-shot Named Entity Recognition Dataset
IJCNLP 2021
Few-NERD: A Few-shot Named Entity Recognition Dataset
ACL 2021