Alexander Miserlis Hoyle

According to our database, Alexander Miserlis Hoyle authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Prompt Report: A Systematic Survey of Prompting Techniques.

Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik

CoRR, 2024

TopicGPT: A Prompt-based Topic Modeling Framework.

Chau Pham, Alexander Miserlis Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick.

Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

TopicGPT: A Prompt-based Topic Modeling Framework.

Chau Minh Pham, Alexander Miserlis Hoyle, Simeng Sun, Mohit Iyyer

CoRR, 2023

Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP.

Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik

CoRR, 2023

Re-visiting Automated Topic Model Evaluation with Large Language Models.

Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash

CoRR, 2023

Revisiting Automated Topic Model Evaluation with Large Language Models.

Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Natural Language Decompositions of Implicit Content Enable Better Text Representations.

Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Are Neural Topic Models Broken?

Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence.

Alexander Miserlis Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan L. Boyd-Graber, Philip Resnik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Promoting Graph Awareness in Linearized Graph-to-Text Generation.

Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Improving Neural Topic Models using Knowledge Distillation.

Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Combining Sentiment Lexica with a Multi-View Variational Autoencoder.

Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Discovery of Gendered Language through Latent-Variable Modeling.

Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019