research
∙
08/08/2023
FLIRT: Feedback Loop In-context Red Teaming
Warning: this paper contains content that may be inappropriate or offens...
share
research
∙
05/19/2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Large Language Models (LLMs) are known to memorize significant portions ...
research
∙
05/17/2023
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation
Transgender and non-binary (TGNB) individuals disproportionately experie...
research
∙
02/23/2023
MUTANT: A Multi-sentential Code-mixed Hinglish Dataset
The multi-sentential long sequence textual data unfolds several interest...
research
∙
11/17/2022
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models
Natural language often contains ambiguities that can lead to misinterpre...
research
∙
10/31/2022
Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems
Spoken Language Understanding (SLU) systems typically consist of a set o...
research
∙
10/07/2022
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation
Several prior works have shown that language models (LMs) can generate t...
research
∙
08/02/2022
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
In this work, we demonstrate that multilingual large-scale sequence-to-s...
research
∙
05/26/2022
Differentially Private Decoding in Large Language Models
Recent large-scale natural language processing (NLP) systems use a pre-t...
research
∙
05/06/2022
Federated Learning with Noisy User Feedback
Machine Learning (ML) systems are getting increasingly popular, and driv...
research
∙
05/03/2022
Training Mixed-Domain Translation Models via Federated Learning
Training mixed-domain translation models is a complex task that demands ...
research
∙
03/25/2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Multiple metrics have been introduced to measure fairness in various nat...
research
∙
03/25/2022
Canary Extraction in Natural Language Understanding Models
Natural Language Understanding (NLU) models can be trained on sensitive ...
research
∙
03/16/2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity
With the rapid growth in language processing applications, fairness has ...
research
∙
02/08/2022
Learnings from Federated Learning in the Real world
Federated Learning (FL) applied to real world data may suffer from sever...
research
∙
10/27/2021
Towards Realistic Single-Task Continuous Learning Research for NER
There is an increasing interest in continuous learning (CL), as data pri...
research
∙
07/14/2021
An Efficient DP-SGD Mechanism for Large Scale NLP Models
Recent advances in deep learning have drastically improved performance o...
research
∙
06/21/2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
Existing bias mitigation methods to reduce disparities in model outcomes...
research
∙
01/29/2021
ADePT: Auto-encoder based Differentially Private Text Transformation
Privacy is an important concern when building statistical models on data...
research
∙
01/28/2021
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification
Practical sequence classification tasks in natural language processing o...
research
∙
01/27/2021
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Recent advances in deep learning techniques have enabled machines to gen...
research
∙
10/08/2020
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks
Neural Architecture Search (NAS) methods, which automatically learn enti...
research
∙
07/20/2020
Phase Transition Behavior in Knowledge Compilation
The study of phase transition behaviour in SAT has led to deeper underst...
research
∙
05/22/2020
Automatic Discovery of Novel Intents Domains from Text Utterances
One of the primary tasks in Natural Language Understanding (NLU) is to r...
research
∙
05/16/2020
Towards classification parity across cohorts
Recently, there has been a lot of interest in ensuring algorithmic fairn...
research
∙
05/06/2020
Joint Multi-Dimensional Model for Global and Time-Series Annotations
Crowdsourcing is a popular approach to collect annotations for unlabeled...
research
∙
12/03/2019
Fast Intent Classification for Spoken Language Understanding
Spoken Language Understanding (SLU) systems consist of several machine l...
research
∙
10/31/2019
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks
Emotion recognition is a classic field of research with a typical setup ...
research
∙
06/20/2019
One-vs-All Models for Asynchronous Training: An Empirical Analysis
Any given classification problem can be modeled using multi-class or One...
research
∙
05/28/2019
Deep Learning for Bug-Localization in Student Programs
Providing feedback is an integral part of teaching. Most open online cou...
research
∙
03/26/2019
On evaluating CNN representations for low resource medical image classification
Convolutional Neural Networks (CNNs) have revolutionized performances in...
research
∙
02/18/2019
Data augmentation for low resource sentiment analysis using generative adversarial networks
Sentiment analysis is a task that may suffer from a lack of data in cert...
research
∙
01/02/2019
Verity: Blockchains to Detect Insider Attacks in DBMS
Integrity and security of the data in database systems are typically mai...
research
∙
10/31/2018
A task in a suit and a tie: paraphrase generation with semantic augmentation
Paraphrasing is rooted in semantics. We show the effectiveness of transf...
research
∙
09/25/2018
A Re-ranker Scheme for Integrating Large Scale NLU models
Large scale Natural Language Understanding (NLU) systems are typically t...
research
∙
06/18/2018
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
Generative Adversarial Networks (GANs) have gained a lot of attention fr...
research
∙
06/07/2018
Semi-supervised and Transfer learning approaches for low resource sentiment classification
Sentiment classification involves quantifying the affective reaction of ...
research
∙
06/06/2018
Adversarial Auto-encoders for Speech Based Emotion Recognition
Recently, generative adversarial networks and adversarial autoencoders h...
research
∙
01/31/2018
Deep Reinforcement Learning for Programming Language Correction
Novice programmers often struggle with the formal syntax of programming ...
research
∙
10/19/2017
SLING: A framework for frame semantic parsing
We describe SLING, a framework for parsing natural language into semanti...
research
∙
05/01/2010
Joint Structured Models for Extraction from Overlapping Sources
We consider the problem of jointly training structured models for extrac...
research
∙
07/03/2009
