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08/01/2023
Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation
Parking occupancy estimation holds significant potential in facilitating...
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08/01/2023
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models
We consider the problem of eliciting compositional generalization capabi...
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04/10/2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
Diffusion models that are based on iterative denoising have been recentl...
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02/08/2023
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
Spurred by advancements in scale, large language models (LLMs) have demo...
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01/04/2023
Parameter-Efficient Fine-Tuning Design Spaces
Parameter-efficient fine-tuning aims to achieve performance comparable t...
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12/19/2022
Human-in-the-loop Abstractive Dialogue Summarization
Abstractive dialogue summarization has received increasing attention rec...
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10/31/2022
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain
Pre-trained language models have shown impressive performance on a varie...
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04/06/2022
VALUE: Understanding Dialect Disparity in NLU
English Natural Language Understanding (NLU) systems have achieved great...
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03/21/2022
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity Recognition
Named Entity Recognition (NER) systems often demonstrate great performan...
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06/14/2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
NLP has achieved great progress in the past decade through the use of ne...
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05/31/2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization
Fine-tuning large pre-trained models with task-specific data has achieve...
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04/16/2021
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs
Abstractive conversation summarization has received much attention recen...
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04/12/2021
Continual Learning for Text Classification with Information Disentanglement Based Regularization
Continual learning has become increasingly important as it enables NLP m...
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01/16/2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests
Modeling persuasive language has the potential to better facilitate our ...
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10/09/2020
Examining the Ordering of Rhetorical Strategies in Persuasive Requests
Interpreting how persuasive language influences audiences has implicatio...
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10/04/2020
Local Additivity Based Data Augmentation for Semi-supervised NER
Named Entity Recognition (NER) is one of the first stages in deep langua...
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10/04/2020
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization
Text summarization is one of the most challenging and interesting proble...
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04/25/2020
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification
This paper presents MixText, a semi-supervised learning method for text ...
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04/23/2020
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses
We present semi-supervised models with data augmentation (SMDA), a semi-...
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11/01/2018