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Xiuying Chen

65 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (15) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (7)
πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (8) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (34) πŸ”¬ Deep Specialist (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (276) πŸ“ˆ Trend Setter ⚑ Prolific Year (8) πŸ”₯ Unstoppable (8) ❓ The Questioner (4) πŸ’Ž Century Club (57)

Conferences

ACL (25) EMNLP (17) AAAI (6) IJCNLP (5) IJCAI (4) COLING (3) NAACL (3) NIPS (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 Models’ 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: LLMs’ 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