Search Results for author: Mohd Abbas Zaidi

Found 10 papers, 2 papers with code

Language Model Augmented Monotonic Attention for Simultaneous Translation

no code implementations NAACL 2022 Sathish Reddy Indurthi, Mohd Abbas Zaidi, Beomseok Lee, Nikhil Kumar Lakumarapu, Sangha Kim

The state-of-the-art adaptive policies for Simultaneous Neural Machine Translation (SNMT) use monotonic attention to perform read/write decisions based on the partial source and target sequences.

Language Modelling Machine Translation +2

FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering

no code implementations18 Nov 2022 Akhil Kedia, Mohd Abbas Zaidi, Haejun Lee

Using our proposed method, we outperform the current state-of-the-art method by $2. 5$ Exact Match score on the Natural Question dataset while using only $25\%$ of parameters and $35\%$ of the latency during inference, and $4. 4$ Exact Match on WebQuestions dataset.

 Ranked #1 on Question Answering on WebQuestions (using extra training data)

Data Augmentation Open-Domain Question Answering +1

Infusing Future Information into Monotonic Attention Through Language Models

1 code implementation7 Sep 2021 Mohd Abbas Zaidi, Sathish Indurthi, Beomseok Lee, Nikhil Kumar Lakumarapu, Sangha Kim

Simultaneous neural machine translation(SNMT) models start emitting the target sequence before they have processed the source sequence.

Language Modelling Machine Translation +2

Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation

no code implementations29 Dec 2020 Hyojung Han, Sathish Indurthi, Mohd Abbas Zaidi, Nikhil Kumar Lakumarapu, Beomseok Lee, Sangha Kim, Chanwoo Kim, Inchul Hwang

The current re-translation approaches are based on autoregressive sequence generation models (ReTA), which generate tar-get tokens in the (partial) translation sequentially.

Machine Translation TAR +1

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