Ahmed Hassan Awadallah
8 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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Multi-Source Cross-Lingual Model Transfer: Learning What to Share
2019
Modern NLP applications have enjoyed a great boost utilizing neural networks models. Such deep neural models, however, are not applicable to most human languages due to the lack of annotated training data for various NLP …
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TinyMBERT: Multi-Stage Distillation Framework for Massive Multi-lingual NER.
2020 · arXiv (Cornell University)
Deep and large pre-trained language models are the state-of-the-art for various natural language processing tasks. However, the huge size of these models could be a deterrent to use them in practice. Some recent and concurrent …
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A Conditional Generative Matching Model for Multi-lingual Reply Suggestion
2021 · arXiv (Cornell University)
We study the problem of multilingual automated reply suggestions (RS) model serving many languages simultaneously. Multilingual models are often challenged by model capacity and severe data distribution skew across languages. While prior works largely focus …
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Pathologies of Pre-trained Language Models in Few-shot Fine-tuning
2022
Although adapting pre-trained language models with few examples has shown promising performance on text classification, there is a lack of understanding of where the performance gain comes from. In this work, we propose to answer …
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Automatic Pair Construction for Contrastive Post-training
2024
Canwen Xu, Corby Rosset, Ethan Chau, Luciano Corro, Shweti Mahajan, Julian McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao. Findings of the Association for Computational Linguistics: NAACL 2024. 2024.
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Understanding User Satisfaction with Intelligent Assistants
2016
Voice-controlled intelligent personal assistants, such as Cortana, Google Now, Siri and Alexa, are increasingly becoming a part of users' daily lives, especially on mobile devices. They introduce a significant change in information access, not only …
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Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
2020
Multilingual representations embed words from many languages into a single semantic space such that words with similar meanings are close to each other regardless of the language. These embeddings have been widely used in various …
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QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
2021
Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir Radev. Proceedings of the 2021 Conference of the North American Chapter of the …