3 papers
cs.IR2025
CustomIR: Unsupervised Fine-Tuning of Dense Embeddings for Known Document Corpora
Nathan Paull
Dense embedding models have become critical for modern information retrieval, particularly in RAG pipelines, but their performance often degrades when applied to specialized corpor…
cs.AI2025
Measuring AI Alignment with Human Flourishing
Elizabeth Hilliard, Akshaya Jagadeesh, Alex Cook +10
This paper introduces the Flourishing AI Benchmark (FAI Benchmark), a novel evaluation framework that assesses AI alignment with human flourishing across seven dimensions: Characte…
cs.SD2024
Bridging Modalities: Knowledge Distillation and Masked Training for Translating Multi-Modal Emotion Recognition to Uni-Modal, Speech-Only Emotion Recognition
Muhammad Muaz, Nathan Paull, Jahnavi Malagavalli
This paper presents an innovative approach to address the challenges of translating multi-modal emotion recognition models to a more practical and resource-efficient uni-modal coun…