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cs.CL2024★ 1 cited
The Extractive-Abstractive Spectrum: Uncovering Verifiability Trade-offs in LLM Generations
Theodora Worledge, Tatsunori Hashimoto, Carlos Guestrin
Across all fields of academic study, experts cite their sources when sharing information. While large language models (LLMs) excel at synthesizing information, they do not provide…
cs.CL2023★ 1 cited
Unifying Corroborative and Contributive Attributions in Large Language Models
Theodora Worledge, Judy Hanwen Shen, Nicole Meister +2
As businesses, products, and services spring up around large language models, the trustworthiness of these models hinges on the verifiability of their outputs. However, methods for…