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Found 14 papers, 8 papers with code
Explaining Expert Search and Team Formation Systems with ExES
Expert search and team formation systems operate on collaboration networks, with nodes representing individuals, labeled with their skills, and edges denoting collaboration relationships.
RAGE Against the Machine: Retrieval-Augmented LLM Explanations
This paper demonstrates RAGE, an interactive tool for explaining Large Language Models (LLMs) augmented with retrieval capabilities; i. e., able to query external sources and pull relevant information into their input context.
Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
We present the Multi-Modal Discussion Transformer (mDT), a novel methodfor detecting hate speech in online social networks such as Reddit discussions.
CREDENCE: Counterfactual Explanations for Document Ranking
Towards better explainability in the field of information retrieval, we present CREDENCE, an interactive tool capable of generating counterfactual explanations for document rankers.
Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content
Included is an exploration of the kinds of posts that permeate social media today, including the use of hateful images.
Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context
We propose a system to predict harmful discussions on social media platforms.
FedFormer: Contextual Federation with Attention in Reinforcement Learning
We evaluate our methods on the Meta-World environment and find that our approach yields significant improvements over FedAvg and non-federated Soft Actor-Critic single-agent methods.
GRS: Combining Generation and Revision in Unsupervised Sentence Simplification
We propose GRS: an unsupervised approach to sentence simplification that combines text generation and text revision.
Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study
The Coronavirus pandemic created a global crisis that prompted immediate large-scale action, including economic shutdowns and mobility restrictions.
Efficient Discovery of Approximate Order Dependencies
Order dependencies (ODs) capture relationships between ordered domains of attributes.
Databases
Iterative Edit-Based Unsupervised Sentence Simplification
We present a novel iterative, edit-based approach to unsupervised sentence simplification.
Ranked #5 on
Text Simplification
on Newsela
Consentio: Managing Consent to Data Access using Permissioned Blockchains
The data management challenge we address is to ensure high throughput and low latency of endorsing data access requests and granting or revoking consent.
Distributed, Parallel, and Cluster Computing
Online abuse detection: the value of preprocessing and neural attention models
We propose an attention-based neural network approach to detect abusive speech in online social networks.
FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second
Blockchain technologies are expected to make a significant impact on a variety of industries.
Distributed, Parallel, and Cluster Computing
