SanjabiM. x 7

bookRéférences 7

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

… that sentiment analysis systems yield different sentiment scores for sentences containi...

2022-10-14 00:00:00

WangY.C.SanjabiM.NieS.WangN.WangQ.

Unirex: A unified learning framework for language model rationale extraction

… the sentiment analysis task. For task performance, Ftask is trained via gold label y* i...

2022-06-28 00:00:00

SanjabiM.TanL.ChanA.MathiasL.

Er-test: Evaluating explanation regularization methods for nlp models

… Functional Tests Figure 4 demonstrates the failure rates on functional tests (as listed...

2022-05-25 00:00:00

LiuZ.SanjabiM.NieS.JoshiB.ChanA.

Er-test: Evaluating explanation regularization methods for language models

… We observe (Table 2) the drop in performance (∆) for sentiment analysis and NLI when ...

2022-01-01 00:00:00

LiuZ.SanjabiM.NieS.JoshiB.ChanA.

Detection, disambiguation, re-ranking: autoregressive entity linking as a multi-task problem

We propose an autoregressive entity linking model, that is trained with two auxiliary tasks, and lea...

2022-01-01 00:00:00

GuJ.SanjabiM.NieS.MriniK.WangS.

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding

To reduce a model size but retain performance, we often rely on knowledge distillation (KD) which tr...

2021-01-01 00:00:00

JinW.SanjabiM.NieS.TanL.RenX.

Modality-specific distillation

… The task is a binary classification problem, which is to detect hate speech in multimod...

2021-01-01 00:00:00

JinW.SanjabiM.NieS.TanL.RenX.

Mots-clés associés