LiM. x 9

bookRéférences 9

Références · 2021-03-27

Exchanging registered users' submitting reviews towards trajectory privacy preservation for review services in Location-Based Social Networks

In Location-Based Social Networks (LBSNs), registered users submit their reviews for visited point-o...

WangY.LiM.YangY.ZhuH.XinY.YangG.TangQ.

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Stigma Found Toward Students with ADHD

… Emotional &Behavioural Difficulties, 21(1), 83-100. https:// doi.org/10.1080/13...

LiM.McGonegleM.

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In-Context Pretraining: Language Modeling Beyond Document Boundaries

… Recursive deep models for semantic compositionality over a sentiment treebank. In Proce...

LiM.ShiW.MinS.LomeliM.ZhouC.LinV.

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Overconfidence in the face of ambiguity with adversarial data

Adversarial data collection has shown promise as a method for building models which are more robust ...

LiM.MichaelJ.

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Scaling Expert Language Models with Unsupervised Domain Discovery

Large language models are typically trained densely: all parameters are updated with respect to all ...

LiM.ShiW.GururanganS.LewisM.AlthoffT.

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I love your chain mail! making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents

… What a fine place this is.’, ’I am so happy for this day.Even if is...

LiM.DinanE.PrabhumoyeS.UrbanekJ.

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Don't Sweep your Learning Rate under the Rug: A Closer Look at Cross-modal Transfer of Pretrained Transformers

… Subsequently, the model is fine-tuned on a given task of interest, eg sentiment analysi...

LiM.RothermelD.RocktäschelT.FoersterJ.

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Branch-train-merge: Embarrassingly parallel training of expert language models

We present Branch-Train-Merge (BTM), a communication-efficient algorithm for embarrassingly parallel...

LiM.GururanganS.LewisM.DettmersT.

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