research
∙
10/04/2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
There exist features that are related to the label in the same way acros...
share
research
∙
10/03/2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Large language models (LLMs) have shown remarkable reasoning capabilitie...
research
∙
09/16/2022
On the Relation between Sensitivity and Accuracy in In-context Learning
In-context learning (ICL) suffers from oversensitivity to the prompt, wh...
research
∙
04/23/2022
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
Recent work has found that multi-task training with a large number of di...
research
∙
12/16/2021
Amortized Noisy Channel Neural Machine Translation
Noisy channel models have been especially effective in neural machine tr...
research
∙
12/16/2021
QuALITY: Question Answering with Long Input Texts, Yes!
To enable building and testing models on long-document comprehension, we...
research
∙
11/07/2021
Machine-in-the-Loop Rewriting for Creative Image Captioning
Machine-in-the-loop writing aims to enable humans to collaborate with mo...
research
∙
10/15/2021
Meta-learning via Language Model In-context Tuning
The goal of meta-learning is to learn to adapt to a new task with only a...
research
∙
09/14/2021
Types of Out-of-Distribution Texts and How to Detect Them
Despite agreement on the importance of detecting out-of-distribution (OO...
research
∙
08/31/2021
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization
Despite recent progress in abstractive summarization, systems still suff...
research
∙
07/01/2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data
While pretrained language models achieve excellent performance on natura...
research
∙
02/11/2021
Unsupervised Extractive Summarization using Pointwise Mutual Information
Unsupervised approaches to extractive summarization usually rely on a no...
research
∙
09/16/2020
Text Generation by Learning from Off-Policy Demonstrations
Current approaches to text generation largely rely on autoregressive mod...
research
∙
07/14/2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Recent work has shown that pre-trained language models such as BERT impr...
research
∙
05/07/2020
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Neural abstractive summarization models are prone to generate content in...
research
∙
12/03/2019
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment Approach
A brain-computer interface (BCI) system usually needs a long calibration...
research
∙
12/03/2019
Heterogeneous Label Space Transfer Learning for Brain-Computer Interfaces: A Label Alignment Approach
A brain-computer interface (BCI) system usually needs a long calibration...
research
∙
09/30/2019
A Dynamic Strategy Coach for Effective Negotiation
Negotiation is a complex activity involving strategic reasoning, persuas...
research
∙
08/28/2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
Statistical natural language inference (NLI) models are susceptible to l...
research
∙
08/16/2019
Multi-View Broad Learning System for Primate Oculomotor Decision Decoding
Multi-view learning improves the learning performance by utilizing multi...
research
∙
07/09/2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
We present GluonCV and GluonNLP, the deep learning toolkits for computer...
research
∙
04/15/2019
Pun Generation with Surprise
We tackle the problem of generating a pun sentence given a pair of homop...
research
∙
04/09/2019
Quizbowl: The Case for Incremental Question Answering
Quizbowl is a scholastic trivia competition that tests human knowledge a...
research
∙
08/29/2018
Decoupling Strategy and Generation in Negotiation Dialogues
We consider negotiation settings in which two agents use natural languag...
research
∙
08/21/2018
QuAC : Question Answering in Context
We present QuAC, a dataset for Question Answering in Context that contai...
research
∙
08/08/2018
Transfer Learning for Brain-Computer Interfaces: An Euclidean Space Data Alignment Approach
Almost all EEG-based brain-computer interfaces (BCIs) need some labeled ...
research
∙
08/08/2018
Transfer Learning Enhanced Common Spatial Pattern Filtering for Brain Computer Interfaces (BCIs): Overview and a New Approach
The electroencephalogram (EEG) is the most widely used input for brain c...
research
∙
08/08/2018
Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant
The electroencephalogram (EEG) is the most popular form of input for bra...
research
∙
05/12/2018
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
We know very little about how neural language models (LM) use prior ling...
research
∙
04/17/2018
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
We consider the task of text attribute transfer: transforming a sentence...
research
∙
04/24/2017
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
We study a symmetric collaborative dialogue setting in which two agents,...
research
∙
02/05/2016
Active Information Acquisition
We propose a general framework for sequential and dynamic acquisition of...
research
∙
03/18/2015
