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Found 17 papers, 6 papers with code
Uncovering Surprising Event Boundaries in Narratives
It is important to define meaningful and interpretable automatic evaluation metrics for open-domain dialog research.
How to be Helpful on Online Support Forums?
Internet forums such as Reddit offer people a platform to ask for advice when they encounter various issues at work, school or in relationships.
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM
To alleviate this problem, we collect HelpSteer, a multi-attribute helpfulness dataset annotated for the various aspects that make responses helpful.
Can We Trust the Similarity Measurement in Federated Learning?
We first uncover the deficiencies of similarity metrics that high-dimensional local models, including benign and poisoned models, may be evaluated to have the same similarity while being significantly different in the parameter values.
Humanoid Agents: Platform for Simulating Human-like Generative Agents
Just as computational simulations of atoms, molecules and cells have shaped the way we study the sciences, true-to-life simulations of human-like agents can be valuable tools for studying human behavior.
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF
Model alignment with human preferences is an essential step in making Large Language Models (LLMs) helpful and consistent with human values.
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering
The widely used Fact-based Visual Question Answering (FVQA) dataset contains visually-grounded questions that require information retrieval using common sense knowledge graphs to answer.
Transformer-Empowered Content-Aware Collaborative Filtering
Knowledge graph (KG) based Collaborative Filtering is an effective approach to personalizing recommendation systems for relatively static domains such as movies and books, by leveraging structured information from KG to enrich both item and user representations.
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
Since each client has a limited amount of computing resources, the problem of allocating computing resources into training and mining needs to be carefully addressed.
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing
Mobile crowdsensing (MCS) counting on the mobility of massive workers helps the requestor accomplish various sensing tasks with more flexibility and lower cost.
Blockchain-based Federated Learning: A Comprehensive Survey
Then, we analyze the concrete functions of BCFL from the perspective of mechanism design and illustrate what problems blockchain addresses specifically for FL.
Extracting and Inferring Personal Attributes from Dialogue
Personal attributes represent structured information about a person, such as their hobbies, pets, family, likes and dislikes.
Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences
While many different aspects of human experiences have been studied by the NLP community, none has captured its full richness.
Author2Vec: A Framework for Generating User Embedding
Online forums and social media platforms provide noisy but valuable data every day.
NASNet: A Neuron Attention Stage-by-Stage Net for Single Image Deraining
In this paper, we propose a novel end-to-end Neuron Attention Stage-by-Stage Net (NASNet), which can solve all types of rain model tasks efficiently.
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
The FFA-Net architecture consists of three key components: 1) A novel Feature Attention (FA) module combines Channel Attention with Pixel Attention mechanism, considering that different channel-wise features contain totally different weighted information and haze distribution is uneven on the different image pixels.
Ranked #1 on
Image Dehazing
on KITTI
No, you're not alone: A better way to find people with similar experiences on Reddit
This model is built upon the BERT Next Sentence Prediction model and reduces the time complexity for clustering all posts in a corpus from O(n{\^{}}2) to O(n) with respect to the number of posts.
