Christopher M. Homan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
13
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation. | Deepak Pandita, Flip Korn, Chris Welty, Christopher M. Homan |
| 2026 | AAAI | ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract). | Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei |
| 2026 | ACL | NSL-MT: Linguistically Informed Negative Samples for Efficient Machine Translation in African Low-Resource Languages. | Mamadou K. Keita, Christopher M. Homan, Huy Le |
| 2026 | ACL | Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment. | Deepak Pandita, Christopher M. Homan |
| 2026 | EACL | How Many Ratings per Item are Necessary for Reliable Significance Testing? | Christopher M. Homan, Flip Korn, Deepak Pandita, Chris Welty |
| 2025 | AAAI | ARTICLE: Annotator Reliability Through In-Context Learning. | Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh |
| 2025 | AAAI | ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract). | Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh |
| 2025 | EMNLP | Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech. | Jonathan Pofcher, Christopher M. Homan, Randall Sell, Ashiqur R. KhudaBukhsh |
| 2025 | NAACL | Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. | Shanilka Haturusinghe, Tharindu Cyril Weerasooriya, Christopher M. Homan, Marcos Zampieri, Sidath Ravindra Liyanage |
| 2025 | NAACL | Bayelemabaga: Creating Resources for Bambara NLP. | Allahsera Auguste Tapo, Kevin Assogba, Christopher M. Homan, M. Mustafa Rafique, Marcos Zampieri |
| 2025 | NAACL | GAIfE: Using GenAI to Improve Literacy in Low-resourced Settings. | Allahsera Auguste Tapo, Nouhoum Souleymane Coulibaly, Seydou Diallo, Sbastien Diarra, Christopher M. Homan, Mamadou K. Keita, Michael Leventhal |
| 2023 | ICLR | Offensiveness as an Opinion: Dissecting population-level Label Distributions. | Tharindu Cyril Weerasooriya, Sarah Luger, Yu Liang, Christopher M. Homan |
| 2020 | ECAI | Neighborhood-Based Pooling for Population-Level Label Distribution Learning. | Tharindu Cyril Weerasooriya, Tong Liu, Christopher M. Homan |
| 2019 | HCOMP | Learning to Predict Population-Level Label Distributions. | Tong Liu, Akash Venkatachalam, Pratik Sanjay Bongale, Christopher M. Homan |
| 2017 | PAKDD | Modeling Information Sharing Behavior on Q&A Forums. | Biru Cui, Shanchieh Jay Yang, Christopher M. Homan |
| 2014 | CSCW | Social structure and depression in TrevorSpace. | Christopher M. Homan, Naiji Lu, Xin Tu, Megan C. Lytle, Vincent Silenzio |
| 2014 | HCOMP | Tuning the Diversity of Open-Ended Responses From the Crowd. | Walter S. Lasecki, Christopher M. Homan, Jeffrey P. Bigham |
| 2009 | SODA | On the approximability of Dodgson and Young elections. | Ioannis Caragiannis, Jason A. Covey, Michal Feldman, Christopher M. Homan, Christos Kaklamanis, Nikos Karanikolas, Ariel D. Procaccia, Jeffrey S. Rosenschein |
| 2006 | MFCS | Guarantees for the Success Frequency of an Algorithm for Finding Dodgson-Election Winners. | Christopher M. Homan, Lane A. Hemaspaandra |
| 2006 | TAMC | Cluster Computing and the Power of Edge Recognition. | Lane A. Hemaspaandra, Christopher M. Homan, Sven Kosub |