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09/21/2023
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
We expose a surprising failure of generalization in auto-regressive larg...
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09/01/2023
Taken out of context: On measuring situational awareness in LLMs
We aim to better understand the emergence of `situational awareness' in ...
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05/23/2022
When does Parameter-Efficient Transfer Learning Work for Machine Translation?
Parameter-efficient fine-tuning methods (PEFTs) offer the promise of ada...
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10/18/2021
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters
Adapter layers are lightweight, learnable units inserted between transfo...
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09/28/2020
Deep Transformers with Latent Depth
The Transformer model has achieved state-of-the-art performance in many ...
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07/08/2020
Diverse Ensembles Improve Calibration
Modern deep neural networks can produce badly calibrated predictions, es...
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04/30/2020
Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
There has been recent success in pre-training on monolingual data and fi...
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02/07/2019
