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To Burst or Not to Burst: Generating and Quantifying Improbable Text
While large language models (LLMs) are extremely capable at text generation, their outputs are still distinguishable from human-authored text.
MegaWika: Millions of reports and their sources across 50 diverse languages
To foster the development of new models for collaborative AI-assisted report generation, we introduce MegaWika, consisting of 13 million Wikipedia articles in 50 diverse languages, along with their 71 million referenced source materials.
Synthetic Cross-language Information Retrieval Training Data
By repeating this process, collections of arbitrary size can be created in the style of MS MARCO but using naturally-occurring documents in any desired genre and domain of discourse.
Interpretable Adversarial Training for Text
SPGD imposes a directional regularization constraint on input perturbations by projecting them onto the directions to nearby word embeddings with highest cosine similarities.
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