James Caverlee

Venues

Frequent coauthors

Papers

1. CHOIR: Harmonizing Structured Persona Diversity for Robust Collaborative LLM Reasoning
   ACL 2026 ·

   Xiangjue Dong

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2. DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
   ACL 2026 ·

   Kai Yin

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3. DisastQA: A Comprehensive Benchmark for Evaluating Question Answering in Disaster Management
   ACL 2026 ·

   Zhitong Chen

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4. Personalization in the Era of Super(?)-intelligence
   WSDM 2026 · James Caverlee
5. PromptHelper: A Prompt Recommender System for Encouraging Creativity in AI Chatbot Interactions
   CHI 2026 ·

   Jason Kim

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6. Third Workshop on Generative AI for Recommender Systems and Personalization
   WSDM 2026 ·

   Narges Tabari

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7. A Survey on LLMs for Story Generation
   EMNLP 2025 ·

   Maria Teleki

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8. Combating Heterogeneous Model Biases in Recommendations via Boosting
   WSDM 2025 ·

   Jinhao Pan

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9. DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
   EMNLP 2025 ·

   Kai Yin

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10. Flow Matching for Collaborative Filtering
    SIGKDD 2025 ·

    Chengkai Liu

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11. GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking
    ACL 2025 ·

    Yingjian Chen

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12. I want a horror - comedy - movie: Slips-of-the-Tongue Impact Conversational Recommender System Performance
    InterSpeech 2025 ·

    Maria Teleki

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13. Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
    AAAI 2025 ·

    Haoran Liu

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14. Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models
    ICWSM 2025 ·

    Maria Teleki

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15. ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
    NAACL 2025 ·

    Millennium Bismay

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16. Second Workshop on Generative AI for Recommender Systems and Personalization
    SIGKDD 2025 ·

    Narges Tabari

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17. Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
    CIKM 2024 ·

    Chengkai Liu

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18. Comparing ASR Systems in the Context of Speech Disfluencies
    InterSpeech 2024 ·

    Maria Teleki

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19. DA³: A Distribution-Aware Adversarial Attack against Language Models
    EMNLP 2024 ·

    Yibo Wang

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20. Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
    WWW 2024 ·

    Haoran Liu

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21. FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
    EMNLP 2024 ·

    Zhuoer Wang

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22. Improving Data Efficiency for Recommenders and LLMs
    RecSys 2024 ·

    Noveen Sachdeva

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23. Large Language Models as Data Augmenters for Cold-Start Item Recommendation
    WWW 2024 ·

    Jianling Wang

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24. Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
    EMNLP 2024 ·

    Guanchu Wang

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25. The Neglected Tails in Vision-Language Models
    CVPR 2024 ·

    Shubham Parashar

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