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Tal Micah August

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  • 20 Conference contribution
  • 2 Article
  • 1 Conference article

  • A Design Space for Intelligent and Interactive Writing Assistants

    Lee, M., Gero, K. I., Chung, J. J. Y., Shum, S. B., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E. A., August, T., Bhat, A., Choksi, M. Z., Dutta, S., Guo, J. L. C., Hoque, M. N., Kim, Y., Knight, S., Neshaei, S. P. & Shibani, A. & 16 others, Shrivastava, D., Shroff, L., Sergeyuk, A., Stark, J., Sterman, S., Wang, S., Bosselut, A., Buschek, D., Chang, J. C., Chen, S., Kreminski, M., Park, J., Pea, R., Rho, E. H. R., Shen, Z. & Siangliulue, P., May 11 2024, CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery, 1054. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • APPLS: Evaluating Evaluation Metrics for Plain Language Summarization

    Guo, Y., August, T., Leroy, G., Cohen, T. & Wang, L. L., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 9194-9211 18 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the “general” audience

    August, T., Lo, K., Smith, N. A. & Reinecke, K., May 11 2024, CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems. Association for Computing Machinery, 14. (Conference on Human Factors in Computing Systems - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling

    Jiang, H., Zhang, X., Mahari, R., Kessler, D., Ma, E., August, T., Li, I., Pentland, A., Kim, Y., Roy, D. & Kabbara, J., 2024, Long Papers. Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 7194-7219 26 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

    Lucy, L., August, T., Wang, R. E., Soldaini, L., Allison, C. & Lo, K., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 5644-5673 30 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

View all 23 Research outputs