Author

Alexander Hoyle

Observed names: Alexander M. Hoyle, Alexander Miserlis Hoyle, Hoyle, Alexander, Hoyle, Alexander Miserlis, Miserlis Hoyle, Alexander

Institutions: University of Zurich, ETH Zurich, Complexity Science Hub, Bocconi University

Observed institutions: University of Notre Dame, University of Southern California, Johns Hopkins University, University of Zurich, ETH Zurich, Complexity Science Hub, Allen Institute for Artificial Intelligence, Microsoft Research New York City (United States), University College London, University of Maryland, College Park, Bocconi University

OpenAlex ID: A5011949686

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

2024 · Schulhoff, Sander, Ilie, Michael, et al. · arXiv (Cornell University) · 118

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TopicGPT: A Prompt-based Topic Modeling Framework

2024 · Chau Pham, Alexander Hoyle, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 104

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

2021 · Hoyle, Alexander, Goel, Pranav, et al. · arXiv (Cornell University) · 81

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

2021 · Pedro Rodriguez, Joe Barrow, et al. · 47

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Improving Neural Topic Models using Knowledge Distillation

2020 · Alexander Hoyle, Pranav Goel, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 47

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Are Neural Topic Models Broken?

2022 · Alexander Hoyle, Pranav Goel, et al. · 27

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Revisiting Automated Topic Model Evaluation with Large Language Models

2023 · Dominik Stammbach, Vilém Zouhar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 26

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Promoting Graph Awareness in Linearized Graph-to-Text Generation

2021 · Alexander Miserlis Hoyle, Ana Marasović, et al. · 21

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Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

2026 · Alejandro Hernández-Cano, Alexander Hägele, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 17

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Unsupervised Discovery of Gendered Language through Latent-Variable Modeling

2019 · Alexander Hoyle, Lawrence Wolf-Sonkin, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 15

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TopicGPT: A Prompt-based Topic Modeling Framework

2023 · Pham, Chau Minh, Hoyle, Alexander, et al. · arXiv (Cornell University) · 12

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Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models

2025 · Zongxia Li, Lorena Calvo-Bartolomé, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 7

Combining Sentiment Lexica with a Multi-View Variational Autoencoder

2019 · Hoyle, Alexander, Wolf-Sonkin, Lawrence, et al. · arXiv (Cornell University) · 5

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Measuring scalar constructs in social science with LLMs

2025 · Hauke Licht, Rupak Sarkar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4

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Revisiting Automated Topic Model Evaluation with Large Language Models

2023 · Stammbach, Dominik, Zouhar, Vilém, et al. · arXiv (Cornell University) · 4

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Natural Language Decompositions of Implicit Content Enable Better Text Representations

2023 · Alexander Hoyle, Rupak Sarkar, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4

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

2024 · Nishant Balepur, Matthew Shu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3

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Combining Sentiment Lexica with a Multi-View Variational Autoencoder

2019 · Alexander Hoyle, Lawrence Wolf-Sonkin, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 3

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

2024 · Balepur, Nishant, Shu, Matthew, et al. · arXiv (Cornell University) · 2

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Read the Paper, Write the Code: Agentic Reproduction of Social-Science Results

2026 · Kohler, Benjamin, Zollikofer, David, et al. · 1

Express Yourself (Ideologically): Legislators’ Ideal Points Across Audiences

2025 · SoRelle W. Gaynor, Kristina C. Miler, et al. · The Journal of Politics · 1

PairScale: Analyzing Attitude Change with Pairwise Comparisons

2025 · Rupak Sarkar, Patrick Y. Wu, et al. · Findings of the Association for Computational Linguistics: NAACL · 1

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Modeling Motivated Reasoning in Law: Evaluating Strategic Role Conditioning in LLM Summarization

2025 · Eunjung Cho, Alexander Miserlis Hoyle, et al. · Natural Legal Language Processing Workshop (NLLP) · 1