Yanjun Qi
33 papers · 2009–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer π Academic Marathon (16)
πΊοΈ
Taxonomy Completionist
(76)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π¬
Deep Specialist
(12)
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
ποΈ
Keyword Collector
(160)
π
Trend Setter
π
Century Club
(31)
π₯
Unstoppable
(6)
β‘
Prolific Year
(8)
Conferences
EMNLP (9)
ACL (5)
NAACL (5)
AAAI (3)
AISTATS (3)
NIPS (3)
CVPR (1)
EACL (1)
ICLR (1)
ICML (1)
UAI (1)
Top co-authors
Research topics
Keywords
adversarial attack
(8)
large language model
(7)
natural language processing
(6)
text classification
(5)
model robustness
(4)
data augmentation
(4)
adversarial training
(4)
adversarial example
(3)
language model
(3)
content moderation
(3)
jailbreak prompt
(3)
feature learning
(2)
gaussian graphical model
(2)
prompt injection
(2)
toxicity detection
(2)
high-dimensional estimation
(2)
adversarial learning
(2)
prompt engineering
(2)
few-shot learning
(2)
feature selection
(2)
Papers
The Subtle Art of Defection: Understanding Uncooperative Behaviors in LLM based Multi-Agent Systems
EACL 2026
Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator
AAAI 2026
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
EMNLP 2025
TaeBench: Improving Quality of Toxic Adversarial Examples
NAACL 2025
AIDE: Attribute-Guided MultI-Hop Data Expansion for Data Scarcity in Task-Specific Fine-tuning
ACL 2025
DFLOW: Diverse Dialogue Flow Simulation with Large Language Models
ACL 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation
ACL 2025
Augmented Adversarial Trigger Learning
NAACL 2025
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
NAACL 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation
EMNLP 2025
Less is More for Improving Automatic Evaluation of Factual Consistency
NAACL 2024
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
EMNLP 2024
PGrad: Learning Principal Gradients For Domain Generalization
ICLR 2023
Improving Interpretability via Explicit Word Interaction Graph Layer
AAAI 2023
Towards Building a Robust Toxicity Predictor
ACL 2023
Expanding Scope: Adapting English Adversarial Attacks to Chinese
ACL 2023
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning
UAI 2022
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge
AISTATS 2022
White-box Testing of NLP models with Mask Neuron Coverage
NAACL 2022
General Multi-Label Image Classification With Transformers
CVPR 2021
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
AAAI 2021
Towards Improving Adversarial Training of NLP Models
EMNLP 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
EMNLP 2021
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
EMNLP 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP
EMNLP 2020
Reevaluating Adversarial Examples in Natural Language
EMNLP 2020
TextAttack: Lessons learned in designing Python frameworks for NLP
EMNLP 2020
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
ICML 2018
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
AISTATS 2018
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
AISTATS 2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
NIPS 2017
Learning the Dependency Structure of Latent Factors
NIPS 2012
Polynomial Semantic Indexing
NIPS 2009