Xiuying Chen
65 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (15) π Interdisciplinary Bridge π Academic Marathon (7)
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Academic Marathon
(7)
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Cross-Pollinator
(9)
π
Renaissance Researcher
(8)
π§¬
Topic Evolution
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Keyword Champion
(2)
π€
Dynamic Duo
(34)
π¬
Deep Specialist
(13)
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Conference Pioneer
ποΈ
Keyword Collector
(276)
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Trend Setter
β‘
Prolific Year
(8)
π₯
Unstoppable
(8)
β
The Questioner
(4)
π
Century Club
(57)
Conferences
ACL (25)
EMNLP (17)
AAAI (6)
IJCNLP (5)
IJCAI (4)
COLING (3)
NAACL (3)
NIPS (2)
Top co-authors
Keywords
large language model
(15)
abstractive summarization
(8)
text summarization
(8)
text generation
(8)
multi-agent system
(6)
contrastive learning
(5)
dialogue generation
(4)
adversarial learning
(4)
response generation
(4)
neural network
(4)
reinforcement learning
(3)
information retrieval
(3)
graph neural network
(3)
related work generation
(3)
in-context learning
(3)
latent space
(3)
fake news detection
(3)
model evaluation
(2)
representation learning
(2)
question answering
(2)
Papers
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models
AAAI 2026
RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems
ACL 2026
ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services
ACL 2026
When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
ACL 2026
When Background Matters: Breaking Medical Vision Language Models by Transferable Attack
ACL 2026
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization
ACL 2026
CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning
ACL 2026
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
ACL 2026
TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models
NAACL 2025
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
ACL 2025
Flipping Knowledge Distillation: Leveraging Small Modelsβ Expertise to Enhance LLMs in Text Matching
ACL 2025
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
ACL 2025
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
ACL 2025
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
ACL 2025
VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration
ACL 2025
A Cognitive Writing Perspective for Constrained Long-Form Text Generation
ACL 2025
From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs
ACL 2025
Word Form Matters: LLMsβ Semantic Reconstruction under Typoglycemia
ACL 2025
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs
ACL 2025
Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement
ACL 2025
Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks
COLING 2025
Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
EMNLP 2025
A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
EMNLP 2025
The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
EMNLP 2025
QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling
EMNLP 2025
Under the Shadow of Babel: How Language Shapes Reasoning in LLMs
EMNLP 2025
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
EMNLP 2025
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies
NAACL 2025
From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News
IJCAI 2024
Large Language Model Based Multi-agents: A Survey of Progress and Challenges
IJCAI 2024
IAD: In-Context Learning Ability Decoupler of Large Language Models in Meta-Training
COLING 2024
Dialogue Summarization with Static-Dynamic Structure Fusion Graph
ACL 2023
Decouple knowledge from paramters for plug-and-play language modeling
ACL 2023
UMSE: Unified Multi-scenario Summarization Evaluation
ACL 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
ACL 2023
Towards a Unified Framework for Reference Retrieval and Related Work Generation
EMNLP 2023
Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation
EMNLP 2023
Learning towards Selective Data Augmentation for Dialogue Generation
AAAI 2023
Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory
NIPS 2023
Towards Improving Faithfulness in Abstractive Summarization
NIPS 2022
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
EMNLP 2022
Summarizing Procedural Text: Data and Approach
EMNLP 2022
Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding
NAACL 2022
Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation
ACL 2022
BioGen: Generating Biography Summary under Table Guidance on Wikipedia
ACL 2021
Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation
EMNLP 2021
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation
ACL 2021
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement
AAAI 2021
Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension
AAAI 2021
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation
IJCNLP 2021
BioGen: Generating Biography Summary under Table Guidance on Wikipedia
IJCNLP 2021
Selection and Generation: Learning towards Multi-Product Advertisement Post Generation
EMNLP 2020
RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract)
AAAI 2020
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles
EMNLP 2020
Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism
COLING 2020
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information
IJCAI 2020
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
EMNLP 2019
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
EMNLP 2019
Learning towards Abstractive Timeline Summarization
IJCAI 2019
Abstractive Text Summarization by Incorporating Reader Comments
AAAI 2019
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders
IJCNLP 2019
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
IJCNLP 2019
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
IJCNLP 2019
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders
EMNLP 2019
Iterative Document Representation Learning Towards Summarization with Polishing
EMNLP 2018