1 citations · 1 across the 5 of their papers we have counts for
7 papers
Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 Election
Bastiaan Bruinsma, Annika Fredén, Paul Röttger +2
Generative AI writing assistants and the Large Language Models (LLMs) that power them are increasingly part of how voters gather information before elections. With growing evidence…
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
Xudong Hong, Asad Sayeed, Khushboo Mehra +2
Current work on image-based story generation suffers from the fact that the existing image sequence collections do not have coherent plots behind them. We improve visual story gene…
Multi-Task Learning for Joint Semantic Role and Proto-Role Labeling
Aashish Arora, Harshitha Malireddi, Daniel Bauer +2
We put forward an end-to-end multi-step machine learning model which jointly labels semantic roles and the proto-roles of Dowty (1991), given a sentence and the predicates therein.…
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit
Mughilan Muthupari, Samrat Halder, Asad Sayeed +1
Observing that for certain NLP tasks, such as semantic role prediction or thematic fit estimation, random embeddings perform as well as pretrained embeddings, we explore what setti…
Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representation
Yuval Marton, Asad Sayeed
Modeling thematic fit (a verb--argument compositional semantics task) currently requires a very large burden of labeled data. We take a linguistically machine-annotated large corpu…
Usability in the Larger Reality: A Contrarian Argument for the Importance of Social and Political Considerations
Asad Sayeed
Usability engineering is situated in a much larger social and institutional context than is usually acknowledged by usability professionals in the way that they define their field.…