Yangyi Chen
25 papers · 2021–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (37) 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🤝 Dynamic Duo (13)
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Dynamic Duo
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Research topics
Artificial Intelligence
(22)
Core AI
(21)
Machine Learning
(16)
Learning Types · Machine Learning
(13)
Deep Learning
(10)
Learning Types · Deep Learning
(9)
Natural Language Processing
(7)
Application Areas
(5)
Resources & Methods
(4)
Applications
(2)
Optimization & Theory
(2)
Techniques
(2)
Reinforcement Learning
(1)
Security & Privacy
(1)
Generation
(1)
Keywords
backdoor attack
(7)
adversarial defense
(5)
text classification
(4)
adversarial attack
(4)
natural language processing
(4)
pre-trained language model
(4)
textual adversarial attack
(3)
large language model
(3)
multi-turn interaction
(3)
reinforcement learning
(3)
neural network
(3)
benchmark evaluation
(2)
nlp model
(2)
model calibration
(2)
uncertainty quantification
(2)
model security
(2)
adversarial learning
(2)
vision-language model
(2)
adversarial perturbation
(2)
confidence estimation
(2)
Papers
SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering
ICML 2025
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
ICLR 2024
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback
CVPR 2024
Executable Code Actions Elicit Better LLM Agents
ICML 2024
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
NAACL 2024
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
ICLR 2024
R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’
NAACL 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
EMNLP 2024
A Close Look into the Calibration of Pre-trained Language Models
ACL 2023
Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT
EMNLP 2023
Bridge the Gap Between CV and NLP! A Gradient-based Textual Adversarial Attack Framework
ACL 2023
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework
ACL 2023
Making Pre-trained Language Models both Task-solvers and Self-calibrators
ACL 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NeurIPS 2023
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation
EMNLP 2023
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
NeurIPS 2022
Exploring the Universal Vulnerability of Prompt-based Learning Paradigm
NAACL 2022
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models
NeurIPS 2022
Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks
EMNLP 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
EMNLP 2022
Automatic Construction of Sememe Knowledge Bases via Dictionaries
ACL 2021
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
ACL 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
EMNLP 2021
Multi-granularity Textual Adversarial Attack with Behavior Cloning
EMNLP 2021
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
EMNLP 2021