Papers by Eddie Eddie
Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models (2023.findings-acl)
Copied to clipboard
| Challenge: | Initial studies have pointed to the potential for harm due to predictive bias, reflecting and potentially reinforcing cultural stereotypes. |
| Approach: | They conduct a survey among non-cisgender individuals and interviews to establish which harms affected individuals anticipate, and how they would like to be represented. |
| Outcome: | The results show that certain non-cisgender identities are consistently (mis)represented as less human, more stereotyped and more sexualised. |
Alexa Conversations: An Extensible Data-driven Approach for Building Task-oriented Dialogue Systems (2021.naacl-demos)
Copied to clipboard
Anish Acharya, Suranjit Adhikari, Sanchit Agarwal, Vincent Auvray, Nehal Belgamwar, Arijit Biswas, Shubhra Chandra, Tagyoung Chung, Maryam Fazel-Zarandi, Raefer Gabriel, Shuyang Gao, Rahul Goel, Dilek Hakkani-Tur, Jan Jezabek, Abhay Jha, Jiun-Yu Kao, Prakash Krishnan, Peter Ku, Anuj Goyal, Chien-Wei Lin, Qing Liu, Arindam Mandal, Angeliki Metallinou, Vishal Naik, Yi Pan, Shachi Paul, Vittorio Perera, Abhishek Sethi, Minmin Shen, Nikko Strom, Eddie Wang
| Challenge: | Traditional goal-oriented dialogue systems require annotations which are hard to obtain for every new domain, limiting scalability. |
| Approach: | They propose a data-driven approach to building goal-oriented dialogue systems . they use a seed dialogue simulator to generate annotated conversations instead of collecting annotations . |
| Outcome: | The proposed system improves turn-level action signature prediction accuracy by 50% . the system is scalable, extensible and data efficient . |
Discovering influential text using convolutional neural networks (2024.findings-acl)
Copied to clipboard
| Challenge: | Existing methods for estimating the effects of text on human evaluation are limited to testing a small number of pre-specified text treatments. |
| Approach: | They propose a method for flexibly discovering clusters of similar text phrases that are predictive of human reactions to texts using convolutional neural networks. |
| Outcome: | The proposed method can detect and predict human reactions to texts under certain assumptions. |
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion (2024.emnlp-main)
Copied to clipboard
| Challenge: | Existing knowledge graph completion models require longer training and inference times as well as increased memory usage. |
| Approach: | They propose to encode textual descriptions into semantic representations before training and integrate structural embedding with pre-encoded semantic description to improve model's prediction performance on 1-N relations. |
| Outcome: | The proposed model increases inference speed by 30x and reduces training memory by approximately 60% on the WN18RR and UMLS datasets. |
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software (2020.coling-main)
Copied to clipboard
Roland Kuhn, Fineen Davis, Alain Désilets, Eric Joanis, Anna Kazantseva, Rebecca Knowles, Patrick Littell, Delaney Lothian, Aidan Pine, Caroline Running Wolf, Eddie Santos, Darlene Stewart, Gilles Boulianne, Vishwa Gupta, Brian Maracle Owennatékha, Akwiratékha’ Martin, Christopher Cox, Marie-Odile Junker, Olivia Sammons, Delasie Torkornoo, Nathan Thanyehténhas Brinklow, Sara Child, Benoît Farley, David Huggins-Daines, Daisy Rosenblum, Heather Souter
| Challenge: | This paper describes the first, three-year phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in preserving their languages and extending their use. |
| Approach: | They describe the first phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in preserving their languages. |
| Outcome: | The proposed software will help Indigenous communities preserve and revitalize their languages and extend their use. |
This prompt is measuring <mask>: evaluating bias evaluation in language models (2023.findings-acl)
Copied to clipboard
| Challenge: | a growing body of work uses prompts and templates to assess bias in language models . authors examine the scope of possible bias types and identify those under-researched . |
| Approach: | They draw on a measurement modelling framework to create a bias taxonomy . they show that bias tests are often unstated or ambiguous, carry implicit assumptions . |
| Outcome: | The proposed taxonomy shows that bias tests are often unstated or ambiguous . the analysis illuminates the scope of possible bias types the field can measure . |