Yue Xing
29 papers · 2020–2026 · 8 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.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (52)
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Topic Evolution
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Dynamic Duo
(14)
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Keyword Collector
(117)
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Century Club · Bronze
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Research topics
Machine Learning
(22)
Artificial Intelligence
(19)
Core AI
(18)
Learning Types · Machine Learning
(14)
Deep Learning
(13)
Optimization & Theory · Machine Learning
(11)
Application Areas
(9)
Learning Types · Deep Learning
(7)
Natural Language Processing
(5)
Optimization & Theory · Deep Learning
(4)
Resources & Methods
(4)
Core Methods
(3)
Generation
(3)
Learning Paradigms
(3)
Architectures
(2)
Keywords
large language model
(10)
adversarial training
(8)
retrieval-augmented generation
(5)
adversarial robustness
(5)
multi-agent system
(3)
in-context learning
(3)
neural network
(3)
adversarial attack
(3)
representation learning
(2)
representation fine-tuning
(2)
training data
(2)
unlabeled data
(2)
robust learning
(2)
harmful content
(2)
linear regression
(2)
statistical learning theory
(1)
sparse coding
(1)
domain adaptation
(1)
transfer learning
(1)
adversarial learning
(1)
Papers
PEAR: Planner-Executor Agent Robustness Benchmark
EACL 2026
Retrieval Heads are Dynamic
ACL 2026
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective
EMNLP 2025
Adversarial Training in High-Dimensional Regression: Generated Data and Neural Networks
AISTATS 2025
A General Framework to Enhance Fine-tuning-based LLM Unlearning
ACL 2025
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
AISTATS 2025
Data Poisoning for In-context Learning
NAACL 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
Red-Teaming LLM Multi-Agent Systems via Communication Attacks
ACL 2025
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models
CVPR 2025
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
ACL 2025
Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression
AISTATS 2025
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
ACL 2025
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
NAACL 2025
Unveiling Privacy Risks in LLM Agent Memory
ACL 2025
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
AISTATS 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
AISTATS 2024
Exploring Memorization in Fine-tuned Language Models
ACL 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
EMNLP 2024
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
ECCV 2024
Phase Transition from Clean Training to Adversarial Training
NeurIPS 2022
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
AISTATS 2022
Why Do Artificially Generated Data Help Adversarial Robustness
NeurIPS 2022
Adversarially Robust Estimate and Risk Analysis in Linear Regression
AISTATS 2021
On the Algorithmic Stability of Adversarial Training
NeurIPS 2021
On the Generalization Properties of Adversarial Training
AISTATS 2021
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
AISTATS 2021
Directional Pruning of Deep Neural Networks
NeurIPS 2020