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cs.CL2024★ 2 cited
Evaluating Language Model Context Windows: A "Working Memory" Test and Inference-time Correction
Amanda Dsouza, Christopher Glaze, Changho Shin +1
Large language models are prominently used in real-world applications, often tasked with reasoning over large volumes of documents. An exciting development in this space is models…
cs.CL2024★ 3 cited
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren +3
The ability to communicate uncertainty, risk, and limitation is crucial for the safety of large language models. However, current evaluations of these abilities rely on simple cali…