8 citations · 13 across the 4 of their papers we have counts for
5 papers · 1 filter
Stay on topic with Classifier-Free Guidance
Guillaume Sanchez, Honglu Fan, Alexander Spangher +3
Classifier-Free Guidance (CFG) has recently emerged in text-to-image generation as a lightweight technique to encourage prompt-adherence in generations. In this work, we demonstrat…
Identifying Informational Sources in News Articles
Alexander Spangher, Nanyun Peng, Jonathan May +1
News articles are driven by the informational sources journalists use in reporting. Modeling when, how and why sources get used together in stories can help us better understand th…
"Don't quote me on that": Finding Mixtures of Sources in News Articles
Alexander Spangher, Nanyun Peng, Jonathan May +1
Journalists publish statements provided by people, or \textit{sources} to contextualize current events, help voters make informed decisions, and hold powerful individuals accountab…
Modeling "Newsworthiness" for Lead-Generation Across Corpora
Alexander Spangher, Nanyun Peng, Jonathan May +1
Journalists obtain "leads", or story ideas, by reading large corpora of government records: court cases, proposed bills, etc. However, only a small percentage of such records are i…
Multitask Learning for Class-Imbalanced Discourse Classification
Alexander Spangher, Jonathan May, Sz-rung Shiang +1
Small class-imbalanced datasets, common in many high-level semantic tasks like discourse analysis, present a particular challenge to current deep-learning architectures. In this wo…