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Found 21 papers, 3 papers with code
AI-Powered Algorithm-Centric Quantum Processor Topology Design
Our method marks a significant departure from previous methods that have been constrained to mapping circuits onto a fixed processor topology.
Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
This study presents a comparative evaluation of BERT-like encoder-only models and autoregressive decoder-only large language models (LLMs) for fake news detection.
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
Meta-learning offers a promising avenue for few-shot learning (FSL), enabling models to glean a generalizable feature embedding through episodic training on synthetic FSL tasks in a source domain.
GPT-4o System Card
We also include third-party assessments on dangerous capabilities, as well as discussion of potential societal impacts of GPT-4o's text and vision capabilities.
Ranked #1 on
Visual Question Answering (VQA)
on VLM2-Bench
SIMRP: Self-Interference Mitigation Using RIS and Phase Shifter Network
Strong self-interference due to the co-located transmitter is the bottleneck for implementing an in-band full-duplex (IBFD) system.
Symmetric Locality: Definition and Initial Results
In this short paper, we characterize symmetric locality.
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
Beyond these numerical ratings, textual reviews provide insights into users fine-grained preferences and item features.
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
The rapid evolution of Large Language Models (LLMs) highlights the necessity for ethical considerations and data integrity in AI development, particularly emphasizing the role of FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
DMC4ML: Data Movement Complexity for Machine Learning
The greatest demand for today's computing is machine learning.
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores
However, the application of tensor decomposition is largely hindered by the exponential increment of the computational complexity and storage consumption with the size of tensors.
BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease
The experimental findings suggest that the relationship between brain structure and function is not a complete one-to-one correspondence.
NBIAS: A Natural Language Processing Framework for Bias Identification in Text
Therefore, it is crucial to detect and remove these biases to ensure the fair and ethical use of data.
Mitigating Bias in Conversations: A Hate Speech Classifier and Debiaser with Prompts
Discriminatory language and biases are often present in hate speech during conversations, which usually lead to negative impacts on targeted groups such as those based on race, gender, and religion.
Dbias: Detecting biases and ensuring Fairness in news articles
Because of the increasing use of data-centric systems and algorithms in machine learning, the topic of fairness is receiving a lot of attention in the academic and broader literature.
Active Learning on a Programmable Photonic Quantum Processor
Here, we design and implement two AL-enpowered variational quantum classifiers, to investigate the potential applications and effectiveness of AL in quantum machine learning.
Parameter-Parallel Distributed Variational Quantum Algorithm
Variational quantum algorithms (VQAs) have emerged as a promising near-term technique to explore practical quantum advantage on noisy intermediate-scale quantum (NISQ) devices.
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
News reading is also driven by a blend of a reader's long-term and short-term interests.
The Imprint of Large Scale Structure on the Ultra-High-Energy Cosmic Ray Sky
Without specifying any particular production mechanism, but only postulating that the source distribution follows the matter distribution of the local Universe, a good accounting of the magnitude, direction and energy dependence of the dipole anisotropy at energies above $8 \times 10^{18}$ eV is obtained, after taking into account the impact of energy losses during propagation (the "GZK horizon"), diffusion in extragalactic magnetic field and deflections in the Galactic magnetic field (GMF).
High Energy Astrophysical Phenomena
News Recommender System: A review of recent progress, challenges, and opportunities
Nowadays, more and more news readers tend to read news online where they have access to millions of news articles from multiple sources.
Quantum-Inspired Support Vector Machine
Support vector machine (SVM) is a particularly powerful and flexible supervised learning model that analyzes data for both classification and regression, whose usual algorithm complexity scales polynomially with the dimension of data space and the number of data points.
Codestitcher: Inter-Procedural Basic Block Layout Optimization
Modern software executes a large amount of code.
Programming Languages
