3 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Prediction
Matthew Singer, Srijan Sengupta, Karl Pazdernik
Named Entity Recognition (NER) serves as a foundational component in many natural language processing (NLP) pipelines. However, current NER models typically output a single predict…
Surprisingly Fragile: Assessing and Addressing Prompt Instability in Multimodal Foundation Models
Ian Stewart, Sameera Horawalavithana, Brendan Kennedy +2
Multimodal foundation models (MFMs) such as OFASys show the potential to unlock analysis of complex data such as images, videos, and audio data via text prompts alone. However, the…
Benchmarking LLMs for Environmental Review and Permitting
Rounak Meyur, Hung Phan, Koby Hayashi +12
The National Environment Policy Act (NEPA) stands as a foundational piece of environmental legislation in the United States, requiring federal agencies to consider the environmenta…
Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities
Sai Munikoti, Ian Stewart, Sameera Horawalavithana +4
Multimodal models are expected to be a critical component to future advances in artificial intelligence. This field is starting to grow rapidly with a surge of new design elements…