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Found 11 papers, 3 papers with code
Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models
Large Language Models (LLMs) have become a cornerstone in the field of Natural Language Processing (NLP), offering transformative capabilities in understanding and generating human-like text.
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
Embeddings play a pivotal role in the efficacy of Large Language Models.
Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
Large Language Models (LLMs) have demonstrated impressive zero shot performance on a wide range of NLP tasks, demonstrating the ability to reason and apply commonsense.
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
Robustness in Natural Language Processing continues to be a pertinent issue, where state of the art models under-perform under naturally shifted distributions.
``Hold on honey, men at work'': A semi-supervised approach to detecting sexism in sitcoms
In an effort to analyze the content of television shows belong-ing to this genre, we present a dataset of dialogue turns from popular sitcoms annotated for the presence of sexist remarks.
Augmenting NLP models using Latent Feature Interpolations
Models with a large number of parameters are prone to over-fitting and often fail to capture the underlying input distribution.
An Interpretable Deep Learning System for Automatically Scoring Request for Proposals
We also qualitatively asses the impact of important phrases using human evaluators.
Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs
Deep Neural Networks in NLP have enabled systems to learn complex non-linear relationships.
\#YouToo? Detection of Personal Recollections of Sexual Harassment on Social Media
The availability of large-scale online social data, coupled with computational methods can help us answer fundamental questions relat- ing to our social lives, particularly our health and well-being.
ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic
The rapid widespread of social media has lead to some undesirable consequences like the rapid increase of hateful content and offensive language.
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment
The {\#}MeToo movement is an ongoing prevalent phenomenon on social media aiming to demonstrate the frequency and widespread of sexual harassment by providing a platform to speak narrate personal experiences of such harassment.
