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06/29/2023
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research
Many recent improvements in NLP stem from the development and use of lar...
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04/17/2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Neural IR models have often been studied in homogeneous and narrow setti...
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04/16/2021
Learning to Reason for Text Generation from Scientific Tables
In this paper, we introduce SciGen, a new challenge dataset for the task...
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04/16/2021
What to Pre-Train on? Efficient Intermediate Task Selection
Intermediate task fine-tuning has been shown to culminate in large trans...
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04/14/2021
TWEAC: Transformer with Extendable QA Agent Classifiers
Question answering systems should help users to access knowledge on a br...
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10/22/2020
AdapterDrop: On the Efficiency of Adapters in Transformers
Massively pre-trained transformer models are computationally expensive t...
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10/07/2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases
Existing NLP datasets contain various biases that models can easily expl...
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10/02/2020
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale
We study the zero-shot transfer capabilities of text matching models on ...
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07/15/2020
AdapterHub: A Framework for Adapting Transformers
The current modus operandi in NLP involves downloading and fine-tuning p...
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05/01/2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning
Current approaches to solving classification tasks in NLP involve fine-t...
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11/13/2019
Neural Duplicate Question Detection without Labeled Training Data
Supervised training of neural models to duplicate question detection in ...
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09/19/2019
Improving Generalization by Incorporating Coverage in Natural Language Inference
The task of natural language inference (NLI) is to identify the relation...
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06/04/2019
Pitfalls in the Evaluation of Sentence Embeddings
Deep learning models continuously break new records across different NLP...
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03/27/2019
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
Visual modifications to text are often used to obfuscate offensive comme...
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03/04/2018