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ORCIDAlexander Miserlis Hoyle
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2020 – today
- 2024
[c10]Chau Pham, Alexander Miserlis Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer:
TopicGPT: A Prompt-based Topic Modeling Framework. NAACL-HLT 2024: 2956-2984- [i11]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:
The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR abs/2406.06608 (2024) - [i10]Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber:
A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. CoRR abs/2406.15352 (2024) - 2023
- [c9]Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Revisiting Automated Topic Model Evaluation with Large Language Models. EMNLP 2023: 9348-9357 - [c8]Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Natural Language Decompositions of Implicit Content Enable Better Text Representations. EMNLP 2023: 13188-13214 - [i9]Dominik Stammbach
, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Re-visiting Automated Topic Model Evaluation with Large Language Models. CoRR abs/2305.12152 (2023) - [i8]Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP. CoRR abs/2305.14583 (2023) - [i7]Chau Minh Pham, Alexander Miserlis Hoyle, Simeng Sun, Mohit Iyyer:
TopicGPT: A Prompt-based Topic Modeling Framework. CoRR abs/2311.01449 (2023) - 2022
- [c7]Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik:
Are Neural Topic Models Broken? EMNLP (Findings) 2022: 5321-5344 - [i6]Alexander Miserlis Hoyle, Pranav Goel, Rupak Sarkar, Philip Resnik:
Are Neural Topic Models Broken? CoRR abs/2210.16162 (2022) - 2021
- [c6]Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. ACL/IJCNLP (Findings) 2021: 944-956 - [c5]Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber:
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) 2021: 4486-4503 - [c4]Alexander Miserlis Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan L. Boyd-Graber, Philip Resnik:
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence. NeurIPS 2021: 2018-2033 - [i5]Alexander Miserlis Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan L. Boyd-Graber, Philip Resnik:
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. CoRR abs/2107.02173 (2021) - 2020
- [c3]Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik:
Improving Neural Topic Models using Knowledge Distillation. EMNLP (1) 2020: 1752-1771 - [i4]Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik:
Improving Neural Topic Models using Knowledge Distillation. CoRR abs/2010.02377 (2020) - [i3]Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith:
Promoting Graph Awareness in Linearized Graph-to-Text Generation. CoRR abs/2012.15793 (2020)
2010 – 2019
- 2019
- [c2]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell:
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. ACL (1) 2019: 1706-1716 - [c1]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. NAACL-HLT (1) 2019: 635-640 - [i2]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. CoRR abs/1904.02839 (2019) - [i1]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell:
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. CoRR abs/1906.04760 (2019)
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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