Enhancing biodiversity through intraspecific suppression in large
ecosystems
May 21, 2023
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Quantitative Biology
Populations and Evolution
The competitive exclusion principle (CEP) is a fundamental concept in the
niche theory, which posits that the number of available resources constrains
the coexistence of species. While the CEP offers an intuitive explanation on
coexistence,...
PrOnto: Language Model Evaluations for 859 Languages
May 21, 2023
Computer Science
Computation and Language
Evaluation datasets are critical resources for measuring the quality of
pretrained language models. However, due to the high cost of dataset
annotation, these resources are scarce for most languages other than English,
making it difficult t...
Multi-Static Target Detection and Power Allocation for Integrated
Sensing and Communication in Cell-Free Massive MIMO
May 21, 2023
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Computer Science
Electrical Engineering and Systems Science
Mathematics
Information Theory
Signal Processing
Information Theory
This paper studies an integrated sensing and communication (ISAC) system
within a centralized cell-free massive MIMO (multiple-input multiple-output)
network for target detection. ISAC transmit access points serve the user
equipments in the...
LLM Paternity Test: Generated Text Detection with LLM Genetic
Inheritance
May 21, 2023
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Computer Science
Computation and Language
Artificial Intelligence
Machine Learning
Large language models (LLMs) can generate texts that carry the risk of
various misuses, including plagiarism, planting fake reviews on e-commerce
platforms, or creating inflammatory false tweets. Detecting whether a text is
machine-generate...
Phased Data Augmentation for Training a Likelihood-Based Generative
Model with Limited Data
May 21, 2023
Computer Science
Electrical Engineering and Systems Science
Computer Vision and Pattern Recognition
Machine Learning
Image and Video Processing
Generative models excel in creating realistic images, yet their dependency on
extensive datasets for training presents significant challenges, especially in
domains where data collection is costly or challenging. Current data-efficient
meth...
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
May 21, 2023
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Electrical Engineering and Systems Science
Computer Science
Image and Video Processing
Computer Vision and Pattern Recognition
Machine Learning
In recent years, deep learning (DL) has shown great potential in the field of
dermatological image analysis. However, existing datasets in this domain have
significant limitations, including a small number of image samples, limited
disease ...
Global Finite-Energy Solutions of the Compressible Euler-Poisson
Equations for General Pressure Laws with Spherical Symmetry
May 21, 2023
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Mathematics
Physics
Analysis of PDEs
Mathematical Physics
Mathematical Physics
We are concerned with global finite-energy solutions of the three-dimensional
compressible Euler-Poisson equations with gravitational potential and general
pressure law, especially including the constitutive equation of white dwarf
stars. W...
Sparse Representer Theorems for Learning in Reproducing Kernel Banach
Spaces
May 21, 2023
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Computer Science
Mathematics
Machine Learning
Functional Analysis
Sparsity of a learning solution is a desirable feature in machine learning.
Certain reproducing kernel Banach spaces (RKBSs) are appropriate hypothesis
spaces for sparse learning methods. The goal of this paper is to understand
what kind of...
Markov α-Potential Games
May 21, 2023
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Computer Science
Electrical Engineering and Systems Science
Mathematics
Computer Science and Game Theory
Artificial Intelligence
Multiagent Systems
Systems and Control
Systems and Control
Dynamical Systems
This paper proposes a new framework of Markov α-potential games to
study Markov games. In this new framework, Markov games are shown to be Markov
α-potential games, and the existence of an associated α-potential
functio...
Has It All Been Solved? Open NLP Research Questions Not Solved by Large
Language Models
May 21, 2023
| | | | | | | | | | and others
Computer Science
Computation and Language
Artificial Intelligence
Recent progress in large language models (LLMs) has enabled the deployment of
many generative NLP applications. At the same time, it has also led to a
misleading public discourse that ``it's all been solved.'' Not surprisingly,
this has, in...