Nitesh V. Chawla

Venues

Frequent coauthors

Papers

1. Adaptive and Context-rich Generative Self-supervised Learning on Graphs
   AAAI 2026 ·

   Yijun Tian

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2. Context Attribution with Multi-Armed Bandit Optimization
   ACL 2026 ·

   Deng Pan

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3. Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models
   ACL 2026 ·

   Mateusz Bystronski

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4. CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?
   ACL 2026 ·

   Peiyu Li

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5. From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews
   IUI 2026 ·

   Brenda Nogueira

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6. PolicyLLM: Towards Excellent Comprehension of Public Policy for Large Language Models
   ACL 2026 ·

   Han Bao

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7. 8th Workshop on Machine Learning in Finance
   SIGKDD 2025 ·

   Saurabh Nagrecha

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8. AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization
   EMNLP 2025 ·

   Le Huy Khiem

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9. Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
   IJCAI 2025 ·

   Kehan Guo

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10. BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
    NeurIPS 2025 ·

    Anna Sokol

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11. Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
    WSDM 2025 ·

    Yijun Tian

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12. Beyond Message Passing: Neural Graph Pattern Machine
    ICML 2025 ·

    Zehong Wang

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13. ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions
    NeurIPS 2025 ·

    Yue Huang

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14. Fast Explanations via Policy Gradient-Optimized Explainer
    IJCAI 2025 ·

    Deng Pan

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15. Graph Foundation Models: Challenges, Methods, and Open Questions
    SIGKDD 2025 ·

    Zehong Wang

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16. Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
    ICLR 2025 ·

    Jiayi Ye

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17. Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities
    IJCAI 2025 ·

    Grigorii Khvatskii

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18. MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
    SIGKDD 2025 ·

    Zheyuan Zhang

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19. NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
    ACL 2025 ·

    Zheyuan Zhang

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20. Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions
    CIKM 2025 ·

    Kehan Guo

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21. Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices
    CIKM 2025 ·

    Yue Huang

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22. Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models
    CIKM 2025 ·

    Chujie Gao

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23. Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
    ICML 2025 ·

    Zehong Wang

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24. Transaction Categorization with Relational Deep Learning in QuickBooks
    ECML-PKDD 2025 ·

    Kaiwen Dong

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25. Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives
    WSDM 2025 ·

    Anna Sokol

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26. What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma
    IJCAI 2025 ·

    Jonathan A. Karr Jr.

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27. WildInsight: a Chatbot for Wildlife Conservation Research
    ECML-PKDD 2025 ·

    Anna Sokol

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28. WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights
    WSDM 2025 ·

    Xiangqi Wang

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29. A Survey of Large Language Models for Graphs
    SIGKDD 2024 ·

    Xubin Ren

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30. AnyLoss: Transforming Classification Metrics into Loss Functions
    SIGKDD 2024 ·

    Do Heon Han

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31. Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning
    CIKM 2024 ·

    Xiaobao Huang

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32. Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective
    WWW 2024 ·

    Yihong Ma

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33. Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
    NeurIPS 2024 ·

    Kehan Guo

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34. Can we Soft Prompt LLMs for Graph Learning Tasks?
    WWW 2024 ·

    Zheyuan Liu

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35. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
    CIKM 2024 ·

    Peiyu Li

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36. Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
    SIGKDD 2024 ·

    Zheyuan Zhang

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37. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
    NeurIPS 2024 ·

    Xiaoxin He

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38. GFT: Graph Foundation Model with Transferable Tree Vocabulary
    NeurIPS 2024 ·

    Zehong Wang

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39. Graph Cross Supervised Learning via Generalized Knowledge
    SIGKDD 2024 ·

    Xiangchi Yuan

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40. Graph Neural Prompting with Large Language Models
    AAAI 2024 ·

    Yijun Tian

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41. HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
    WWW 2024 ·

    Yihong Ma

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42. Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint)
    AAAI 2024 ·

    Martin Michalowski

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43. Large Language Model Based Multi-agents: A Survey of Progress and Challenges
    IJCAI 2024 ·

    Taicheng Guo

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44. Large Language Models for Graphs: Progresses and Directions
    WWW 2024 ·

    Chao Huang

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45. Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
    ICML 2024 ·

    Lirong Wu

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46. MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
    ICLR 2024 ·

    Lirong Wu

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47. Machine Learning in Finance
    SIGKDD 2024 ·

    Leman Akoglu

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48. Pure Message Passing Can Estimate Common Neighbor for Link Prediction
    NeurIPS 2024 ·

    Kaiwen Dong

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49. RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
    SIGKDD 2024 ·

    Chuxu Zhang

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50. S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
    ICML 2024 ·

    Guancheng Wan

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51. SaludConectaMX: Lessons Learned from Deploying a Cooperative Mobile Health System for Pediatric Cancer Care in Mexico
    CSCW 2024 ·

    Jennifer J. Schnur

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52. Traversing the Journey of Data and AI: From Convergence to Translation
    CIKM 2024 · Nitesh V. Chawla