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07/19/2023
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
Rising computational demands of modern natural language processing (NLP)...
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05/30/2023
AdANNS: A Framework for Adaptive Semantic Search
Web-scale search systems learn an encoder to embed a given query which i...
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05/27/2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
Large-scale vision language (VL) models use Transformers to perform cros...
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03/26/2023
Task-oriented Memory-efficient Pruning-Adapter
The Outstanding performance and growing size of Large Language Models ha...
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11/15/2022
A Survey for Efficient Open Domain Question Answering
Open domain question answering (ODQA) is a longstanding task aimed at an...
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08/31/2022
Efficient Methods for Natural Language Processing: A Survey
Getting the most out of limited resources allows advances in natural lan...
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06/02/2021
IrEne: Interpretable Energy Prediction for Transformers
Existing software-based energy measurements of NLP models are not accura...
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12/10/2020
Bew: Towards Answering Business-Entity-Related Web Questions
We present BewQA, a system specifically designed to answer a class of qu...
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10/11/2020
Towards Accurate and Reliable Energy Measurement of NLP Models
Accurate and reliable measurement of energy consumption is critical for ...
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05/02/2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Transformer-based QA models use input-wide self-attention – i.e. across ...
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06/03/2017