research
∙
06/09/2023
Can Large Language Models Infer Causation from Correlation?
Causal inference is one of the hallmarks of human intelligence. While th...
share
research
∙
05/29/2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Membership Inference attacks (MIAs) aim to predict whether a data sample...
research
∙
05/23/2023
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations
Transformer models bring propelling advances in various NLP tasks, thus ...
research
∙
05/23/2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
Multi-task learning (MTL) aims at achieving a better model by leveraging...
research
∙
05/21/2023
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models
Recent progress in large language models has enabled the deployment of m...
research
∙
05/19/2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
In this paper, we conduct a thorough investigation into the reasoning ca...
research
∙
05/09/2023
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good
With the recent advances in natural language processing (NLP), a vast nu...
research
∙
05/02/2023
Psychologically-Inspired Causal Prompts
NLP datasets are richer than just input-output pairs; rather, they carry...
research
∙
02/07/2023
Natural Language Processing for Policymaking
Language is the medium for many political activities, from campaigns to ...
research
∙
01/27/2023
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
The recent surge in popularity of diffusion models for image generation ...
research
∙
12/20/2022
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing
Generated texts from large pretrained language models have been shown to...
research
∙
12/05/2022
Editing a Woman's Voice
Prior work shows that men and women speak with different levels of confi...
research
∙
10/25/2022
Differentially Private Language Models for Secure Data Sharing
To protect the privacy of individuals whose data is being shared, it is ...
research
∙
10/21/2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
We have recently witnessed a number of impressive results on hard mathem...
research
∙
10/04/2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
AI systems are becoming increasingly intertwined with human life. In ord...
research
∙
05/04/2022
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance
Human-translated text displays distinct features from naturally written ...
research
∙
03/09/2022
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang
Languages are continuously undergoing changes, and the mechanisms that u...
research
∙
02/28/2022
Logical Fallacy Detection
Reasoning is central to human intelligence. However, fallacious argument...
research
∙
10/13/2021
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning
Standard few-shot relation classification (RC) is designed to learn a ro...
research
∙
10/07/2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning in NLP
The principle of independent causal mechanisms (ICM) states that generat...
research
∙
06/04/2021
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
Recent years have seen many breakthroughs in natural language processing...
research
∙
12/14/2020
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
Cycle-consistent training is widely used for jointly learning a forward ...
research
∙
11/01/2020
Deep Learning for Text Attribute Transfer: A Survey
Driven by the increasingly larger deep learning models, neural language ...
research
∙
09/16/2020
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) aims to predict the sentiment tow...
research
∙
06/08/2020
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
Two important tasks at the intersection of knowledge graphs and natural ...
research
∙
06/05/2020
Relation of the Relations: A New Paradigm of the Relation Extraction Problem
In natural language, often multiple entities appear in the same text. Ho...
research
∙
04/04/2020
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Current summarization systems only produce plain, factual headlines, but...
research
∙
01/22/2020
Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation
State-of-the-art neural machine translation (NMT) systems are data-hungr...
research
∙
07/27/2019
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
Machine learning algorithms are often vulnerable to adversarial examples...
research
∙
01/31/2019
Unsupervised Text Style Transfer via Iterative Matching and Translation
Text style transfer seeks to learn how to automatically rewrite sentence...
research
∙
10/31/2018
GraphIE: A Graph-Based Framework for Information Extraction
Most modern Information Extraction (IE) systems are implemented as seque...
research
∙
10/30/2018