Alexander Miserlis Hoyle

37 papers A* 7Journal 18Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Can Reasoning Help Large Language Models Capture Human Annotator Disagreement? EACL (Volume 1: Long Papers) Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash
2025	J	`jnl`	Can Large Language Models Capture Human Annotator Disagreements? CoRR Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Alexander Miserlis Hoyle, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Elliott Ash
2025	—	`conf`	Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. EMNLP (System Demonstrations) Chenfei Xiong, Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash
2025	J	`jnl`	Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification. CoRR Chenfei Xiong, Jingwei Ni, Yu Fan, Vilém Zouhar, Donya Rooein, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Zhijing Jin, Mrinmaya Sachan, Markus Leippold, Dirk Hovy, Mennatallah El-Assady, Elliott Ash
2025	A*	`conf`	How Persuasive Is Your Context? EMNLP Tu Nguyen, Kevin Du, Alexander Miserlis Hoyle, Ryan Cotterell
2025	J	`jnl`	How Persuasive is Your Context? CoRR Tu Nguyen, Kevin Du, Alexander Miserlis Hoyle, Ryan Cotterell
2025	—	`conf`	Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models. ACL (1) Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Daniel Kofi Stephens, Juan Francisco Fung, Alden Dima, Jordan Lee Boyd-Graber
2025	J	`jnl`	Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs. CoRR Zongxia Li, Lorena Calvo-Bartolomé, Alexander Miserlis Hoyle, Paiheng Xu, Alden Dima, Juan Francisco Fung, Jordan L. Boyd-Graber
2025	J	`jnl`	Measuring Scalar Constructs in Social Science with LLMs. CoRR Hauke Licht, Rupak Sarkar, Patrick Y. Wu, Pranav Goel, Niklas Stoehr, Elliott Ash, Alexander Miserlis Hoyle
2025	A*	`conf`	Measuring scalar constructs in social science with LLMs. EMNLP Hauke Licht, Rupak Sarkar, Patrick Y. Wu, Pranav Goel, Niklas Stoehr, Elliott Ash, Alexander Miserlis Hoyle
2025	—	`conf`	PairScale: Analyzing Attitude Change with Pairwise Comparisons. NAACL (Findings) Rupak Sarkar, Patrick Y. Wu, Kristina Miler, Alexander Miserlis Hoyle, Philip Resnik
2025	—	`conf`	ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering. ACL (1) Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan Lee Boyd-Graber, Philip Resnik
2025	J	`jnl`	ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering. CoRR Alexander Miserlis Hoyle, Lorena Calvo-Bartolomé, Jordan L. Boyd-Graber, Philip Resnik
2025	A*	`conf`	The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure. EMNLP Yu Fan, Yang Tian, Shauli Ravfogel, Mrinmaya Sachan, Elliott Ash, Alexander Miserlis Hoyle
2025	J	`jnl`	The Medium Is Not the Message: Deconfounding Text Embeddings via Linear Concept Erasure. CoRR Yu Fan, Yang Tian, Shauli Ravfogel, Mrinmaya Sachan, Elliott Ash, Alexander Miserlis Hoyle
2024	A*	`conf`	A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. EMNLP Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
2024	J	`jnl`	A SMART Mnemonic Sounds like "Glue Tonic": Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick. CoRR Nishant Balepur, Matthew Shu, Alexander Miserlis Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan L. Boyd-Graber
2024	J	`jnl`	The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR 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
2024	—	`conf`	TopicGPT: A Prompt-based Topic Modeling Framework. NAACL-HLT Chau Pham, Alexander Miserlis Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer
2023	J	`jnl`	Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP. CoRR Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik
2023	A*	`conf`	Natural Language Decompositions of Implicit Content Enable Better Text Representations. EMNLP Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik
2023	J	`jnl`	Re-visiting Automated Topic Model Evaluation with Large Language Models. CoRR Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash
2023	A*	`conf`	Revisiting Automated Topic Model Evaluation with Large Language Models. EMNLP Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash
2023	J	`jnl`	TopicGPT: A Prompt-based Topic Modeling Framework. CoRR Chau Minh Pham, Alexander Miserlis Hoyle, Simeng Sun, Mohit Iyyer
2022	—	`conf`	Are Neural Topic Models Broken? EMNLP (Findings) Alexander Miserlis Hoyle, Rupak Sarkar, Pranav Goel, Philip Resnik
2022	J	`jnl`	Are Neural Topic Models Broken? CoRR Alexander Miserlis Hoyle, Pranav Goel, Rupak Sarkar, Philip Resnik
2021	—	`conf`	Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber
2021	A*	`conf`	Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence. NeurIPS Alexander Miserlis Hoyle, Pranav Goel, Andrew Hian-Cheong, Denis Peskov, Jordan L. Boyd-Graber, Philip Resnik
2021	J	`jnl`	Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence. CoRR Alexander Miserlis Hoyle, Pranav Goel, Denis Peskov, Andrew Hian-Cheong, Jordan L. Boyd-Graber, Philip Resnik
2021	—	`conf`	Promoting Graph Awareness in Linearized Graph-to-Text Generation. ACL/IJCNLP (Findings) Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith
2020	—	`conf`	Improving Neural Topic Models using Knowledge Distillation. EMNLP (1) Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik
2020	J	`jnl`	Improving Neural Topic Models using Knowledge Distillation. CoRR Alexander Miserlis Hoyle, Pranav Goel, Philip Resnik
2020	J	`jnl`	Promoting Graph Awareness in Linearized Graph-to-Text Generation. CoRR Alexander Miserlis Hoyle, Ana Marasovic, Noah A. Smith
2019	—	`conf`	Combining Sentiment Lexica with a Multi-View Variational Autoencoder. NAACL-HLT (1) Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein
2019	J	`jnl`	Combining Sentiment Lexica with a Multi-View Variational Autoencoder. CoRR Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein
2019	—	`conf`	Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. ACL (1) Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell
2019	J	`jnl`	Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. CoRR Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell