Ali Modarressi | DeepAI

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∙ 06/05/2023

DecompX: Explaining Transformers Decisions by Propagating Token Decomposition

An emerging solution for explaining Transformer-based models is to use v...

0 Ali Modarressi, et al. ∙

∙ 05/23/2023

RET-LLM: Towards a General Read-Write Memory for Large Language Models

Large language models (LLMs) have significantly advanced the field of na...

0 Ali Modarressi, et al. ∙

∙ 02/06/2023

Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities

Several proposals have been put forward in recent years for improving ou...

0 Ali Modarressi, et al. ∙

∙ 11/10/2022

BERT on a Data Diet: Finding Important Examples by Gradient-Based Pruning

Current pre-trained language models rely on large datasets for achieving...

0 Mohsen Fayyaz, et al. ∙

∙ 05/06/2022

GlobEnc: Quantifying Global Token Attribution by Incorporating the Whole Encoder Layer in Transformers

There has been a growing interest in interpreting the underlying dynamic...

0 Ali Modarressi, et al. ∙

∙ 03/16/2022

AdapLeR: Speeding up Inference by Adaptive Length Reduction

Pre-trained language models have shown stellar performance in various do...

0 Ali Modarressi, et al. ∙

∙ 09/13/2021

Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' Representations

Most of the recent works on probing representations have focused on BERT...

0 Mohsen Fayyaz, et al. ∙

∙ 04/03/2021

Exploring the Role of BERT Token Representations to Explain Sentence Probing Results

Several studies have been carried out on revealing linguistic features c...

0 Hosein Mohebbi, et al. ∙

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