b'Zhijing Jin'

research

∙ 06/09/2023

Can Large Language Models Infer Causation from Correlation?

Causal inference is one of the hallmarks of human intelligence. While th...

0 Zhijing Jin, et al. ∙

research

∙ 05/29/2023

Membership Inference Attacks against Language Models via Neighbourhood Comparison

Membership Inference attacks (MIAs) aim to predict whether a data sample...

0 Justus Mattern, et al. ∙

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 ...

2 Yuxin Ren, et al. ∙

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...

0 Jingwei Ni, et al. ∙

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...

6 Oana Ignat, et al. ∙

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...

0 Badr AlKhamissi, et al. ∙

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...

0 Fernando González, et al. ∙

research

∙ 05/02/2023

Psychologically-Inspired Causal Prompts

NLP datasets are richer than just input-output pairs; rather, they carry...

0 Zhiheng Lyu, et al. ∙

research

∙ 02/07/2023

Natural Language Processing for Policymaking

Language is the medium for many political activities, from campaigns to ...

0 Zhijing Jin, et al. ∙

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 ...

0 Flavio Schneider, et al. ∙

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...

0 Justus Mattern, et al. ∙

research

∙ 12/05/2022

Editing a Woman's Voice

Prior work shows that men and women speak with different levels of confi...

0 Anna Costello, et al. ∙

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 ...

0 Justus Mattern, et al. ∙

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...

0 Alessandro Stolfo, et al. ∙

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...

8 Zhijing Jin, et al. ∙

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 ...

1 Jingwei Ni, et al. ∙

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...

0 Daphna Keidar, et al. ∙

research

∙ 02/28/2022

Logical Fallacy Detection

Reasoning is central to human intelligence. However, fallacious argument...

28 Zhijing Jin, et al. ∙

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...

0 Hongru Wang, et al. ∙

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...

0 Zhijing Jin, et al. ∙

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...

8 Zhijing Jin, et al. ∙

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 ...

10 Qipeng Guo, et al. ∙

research

∙ 11/01/2020

Deep Learning for Text Attribute Transfer: A Survey

Driven by the increasingly larger deep learning models, neural language ...

13 Di Jin, et al. ∙

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...

0 Xiaoyu Xing, et al. ∙

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 ...

10 Qipeng Guo, et al. ∙

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...

0 Zhijing Jin, et al. ∙

research

∙ 04/04/2020

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Current summarization systems only produce plain, factual headlines, but...

9 Di Jin, et al. ∙

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...

0 Di Jin, et al. ∙

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...

0 Di Jin, et al. ∙

research

∙ 01/31/2019

Unsupervised Text Style Transfer via Iterative Matching and Translation

Text style transfer seeks to learn how to automatically rewrite sentence...

28 Zhijing Jin, et al. ∙

research

∙ 10/31/2018

GraphIE: A Graph-Based Framework for Information Extraction

Most modern Information Extraction (IE) systems are implemented as seque...

0 Yujie Qian, et al. ∙

research

∙ 10/30/2018

3D Traffic Simulation for Autonomous Vehicles in Unity and Python

Over the recent years, there has been an explosion of studies on autonom...

24 Zhijing Jin, et al. ∙

Zhijing Jin

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