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Xiangliang Zhang

University of Notre Dame, Department of Computer Science, Notre Dame, IN, USA

63 papers at tracked venues · 41 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-3574-5665 ↗Google Scholar ↗Homepage ↗

Venues

ACL ×12NeurIPS ×9CIKM ×8EMNLP ×7AAAI ×6SIGKDD ×4WWW ×4ICLR ×2ICML ×2IJCAI ×2AISTATS ×1CHI ×1ECML-PKDD ×1ICDM ×1NAACL ×1SIGIR ×1WSDM ×1

Frequent coauthors

Yue Huang
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Tianyu Yang
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Yanbo Wang
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Kehan Guo
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Yujun Zhou
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Ziyi Kou
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Han Bao
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Taicheng Guo
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Jiayi Ye
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Zhenwen Liang
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Xiangqi Wang
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Anna Sokol
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Papers

  1. A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning
    ACL 2026 ·
    Tianyu Yang
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  2. Adaptive and Context-rich Generative Self-supervised Learning on Graphs
    AAAI 2026 ·
    Yijun Tian
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  3. Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement
    AAAI 2026 ·
    Xiaonan Luo
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  4. Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs
    ACL 2026 ·
    Yue Huang
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  5. IntraAI: Bridging Human-AI Understanding Through Intelligent Interface Design
    WWW 2026 ·
    Han Bao
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  6. MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
    ACL 2026 ·
    Taicheng Guo
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  7. My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom
    CHI 2026 ·
    Jiayi Ye
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  8. PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
    ACL 2026 ·
    Han Bao
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  9. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026
    SIGKDD 2026 ·
    Srinivasan Parthasarathy
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  10. RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions
    AAAI 2026 ·
    Yanchi Ru
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  11. RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems
    ACL 2026 ·
    Yu Jiang
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  12. SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization
    AAAI 2026 ·
    Yue Huang
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  13. Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data
    ACL 2026 ·
    Zhenwen Liang
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  14. AI4DE: The 1st International Workshop on AI for Data Editing
    SIGKDD 2025 ·
    Yanjie Fu
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  15. AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking
    NeurIPS 2025 ·
    Xiangqi Wang
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  16. Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
    NeurIPS 2025 ·
    Yanbo Wang
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  17. Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
    IJCAI 2025 ·
    Kehan Guo
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  18. BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
    NeurIPS 2025 ·
    Anna Sokol
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  19. Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis
    ACL 2025 ·
    Yicheng Lang
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  20. CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP
    ACL 2025 ·
    Tianyu Yang
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  21. ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
    NeurIPS 2025 ·
    Yue Huang
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  22. Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
    ACL 2025 ·
    Zixiang Xu
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  23. DataGen: Unified Synthetic Dataset Generation via Large Language Models
    ICLR 2025 ·
    Yue Huang
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  24. Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
    EMNLP 2025 ·
    Yujun Zhou
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  25. DyFlow: Dynamic Workflow Framework for Agentic Reasoning
    NeurIPS 2025 ·
    Yanbo Wang
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  26. Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
    CIKM 2025 ·
    Dawei Li
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  27. Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking
    EMNLP 2025 ·
    Tianle Gu
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  28. Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings
    CIKM 2025 ·
    Yue Huang
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  29. Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
    ICLR 2025 ·
    Jiayi Ye
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  30. Leveraging Hybrid Representations for Robust Molecular Property Prediction in Low-Data Regimes
    ICDM 2025 ·
    Alex Liu
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  31. Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions
    CIKM 2025 ·
    Kehan Guo
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  32. Quest2DataAgent: Automating End-to-End Scientific Data Collection
    EMNLP 2025 ·
    Tianyu Yang
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  33. SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
    ACL 2025 ·
    Haomin Zhuang
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  34. Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
    ACL 2025 ·
    Lang Gao
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  35. Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices
    CIKM 2025 ·
    Yue Huang
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  36. TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models
    NAACL 2025 ·
    Yanbo Wang
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  37. Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models
    CIKM 2025 ·
    Chujie Gao
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  38. Towards Fair Graph Learning without Demographic Information
    AISTATS 2025 ·
    Zichong Wang
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  39. Towards Few-shot Chemical Reaction Outcome Prediction
    CIKM 2025 ·
    Yili Shen
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  40. TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
    NeurIPS 2025 ·
    Xiaochuan Gou
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  41. UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs
    WWW 2025 ·
    Yi Gui
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  42. Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
    AAAI 2025 ·
    Qiannan Zhang
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  43. WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs
    WWW 2025 ·
    Yi Gui
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  44. WildInsight: a Chatbot for Wildlife Conservation Research
    ECML-PKDD 2025 ·
    Anna Sokol
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  45. WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights
    WSDM 2025 ·
    Xiangqi Wang
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  46. 1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
    EMNLP 2024 ·
    Yue Huang
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  47. Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning
    CIKM 2024 ·
    Xiaobao Huang
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  48. Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective
    WWW 2024 ·
    Yihong Ma
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  49. Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data
    ICML 2024 ·
    Yujun Zhou
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  50. Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators
    NeurIPS 2024 ·
    Haoming Wang
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  51. Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
    NeurIPS 2024 ·
    Kehan Guo
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  52. Cross-Context Backdoor Attacks against Graph Prompt Learning
    SIGKDD 2024 ·
    Xiaoting Lyu
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  53. Defending Jailbreak Prompts via In-Context Adversarial Game
    EMNLP 2024 ·
    Yujun Zhou
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  54. FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition
    CIKM 2024 ·
    Ziyi Kou
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  55. Flexible and Adaptable Summarization via Expertise Separation
    SIGIR 2024 ·
    Xiuying Chen
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  56. HonestLLM: Toward an Honest and Helpful Large Language Model
    NeurIPS 2024 ·
    Chujie Gao
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  57. Large Language Model Based Multi-agents: A Survey of Progress and Challenges
    IJCAI 2024 ·
    Taicheng Guo
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  58. LeMon: Automating Portrait Generation for Zero-Shot Story Visualization with Multi-Character Interactions
    SIGKDD 2024 ·
    Ziyi Kou
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  59. Position: TrustLLM: Trustworthiness in Large Language Models
    ICML 2024 ·
    Yue Huang
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  60. RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
    EMNLP 2024 ·
    Ziyi Kou
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  61. SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering
    EMNLP 2024 ·
    Tianyu Yang
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  62. SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
    ACL 2024 ·
    Zhenwen Liang
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  63. Uncertainty-Aware Yield Prediction with Multimodal Molecular Features
    AAAI 2024 ·
    Jiayuan Chen
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