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cs.CL2024★ 2 cited
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov +2
A major barrier towards the practical deployment of large language models (LLMs) is their lack of reliability. Three situations where this is particularly apparent are correctness,…
cs.CL2023
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
Christian Tomani, David Vilar, Markus Freitag +5
Maximum-a-posteriori (MAP) decoding is the most widely used decoding strategy for neural machine translation (NMT) models. The underlying assumption is that model probability corre…