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08/29/2023
LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks
This paper presents a novel approach to enhance autonomous robotic manip...
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06/07/2023
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
Currently, most machine learning models are trained by centralized teams...
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06/06/2023
Soft Merging of Experts with Adaptive Routing
Sparsely activated neural networks with conditional computation learn to...
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01/24/2023
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated...
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11/29/2022
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting
Producing high-quality forecasts of key climate variables such as temper...
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05/11/2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Few-shot in-context learning (ICL) enables pre-trained language models t...
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09/17/2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
Despite the success of fine-tuning pretrained language encoders like BER...
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06/01/2021
Comparing Test Sets with Item Response Theory
Recent years have seen numerous NLP datasets introduced to evaluate the ...
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10/11/2020
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)
One reason pretraining on self-supervised linguistic tasks is effective ...
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10/09/2020
Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data
A growing body of work shows that models exploit annotation artifacts to...
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10/08/2020
Precise Task Formalization Matters in Winograd Schema Evaluations
Performance on the Winograd Schema Challenge (WSC), a respected English ...
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05/26/2020
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
Intermediate-task training has been shown to substantially improve pretr...
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05/01/2020
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
While pretrained models such as BERT have shown large gains across natur...
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03/04/2020
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
We introduce jiant, an open source toolkit for conducting multitask and ...
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12/02/2019
BLiMP: A Benchmark of Linguistic Minimal Pairs for English
We introduce The Benchmark of Linguistic Minimal Pairs (shortened to BLi...
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09/05/2019
