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1. ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
   Annual Meeting of the Association for Computational Linguistics2025-07-01alphaXiv arXiv S2
2. Express Yourself (Ideologically): Legislators’ Ideal Points Across Audiences
   Journal of Politics2025-04-23S2
3. PairScale: Analyzing Attitude Change with Pairwise Comparisons
   North American Chapter of the Association for Computational Linguistics2025S2
4. TopicGPT: A Prompt-based Topic Modeling Framework
   North American Chapter of the Association for Computational Linguistics2024S2
5. The Prompt Report: A Systematic Survey of Prompting Techniques
   arXiv.org2024S2
6. Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?
   2023S2
7. Is Automated Topic Model Evaluation Broken
   2023S2
8. Is Automated Topic Model Evaluation Broken
   2023S2
9. Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP
   arXiv.org2023S2
10. Automated Topic Model Evaluation
    2023S2
11. Is Automated Topic Model Evaluation Broken
    2023S2
12. P AIR S CALE : Analyzing Attitude Change in Online Communities
    S2
13. Use-Oriented Evaluations of Topic Models and Document Clustering
    S2
14. Evaluations of Topic Models and Document Clustering
    S2
15. . A SMART Mnemonic Sounds like ”Glue Tonic”: Mixing LLMs with Student Feedback to
    S2
16. A SMART Mnemonic Sounds like
    S2
17. Models Don’t Know What You Want: Evaluating Personalization in Deep Research Needs Real Users . Association for Computational Linguistics
    S2