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Paperium AI Analysis & Review of Latest Scientific Research Articles

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Sequential Matching Network: A New Architecture for Multi-turn ResponseSelection in Retrieval-based Chatbots

Sequential Matching Network: A New Architecture for Multi-turn ResponseSelection in Retrieval-based Chatbots

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1 min read
Do Transformers Really Perform Bad for Graph Representation?

Do Transformers Really Perform Bad for Graph Representation?

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Submanifold Sparse Convolutional Networks

Submanifold Sparse Convolutional Networks

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Deep Transformer Models for Time Series Forecasting: The Influenza PrevalenceCase

Deep Transformer Models for Time Series Forecasting: The Influenza PrevalenceCase

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The 2018 PIRM Challenge on Perceptual Image Super-resolution

The 2018 PIRM Challenge on Perceptual Image Super-resolution

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Statistical guarantees for the EM algorithm: From population to sample-basedanalysis

Statistical guarantees for the EM algorithm: From population to sample-basedanalysis

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Towards a Definition of Disentangled Representations

Towards a Definition of Disentangled Representations

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Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

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Solving math word problems with process- and outcome-based feedback

Solving math word problems with process- and outcome-based feedback

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TransferTransfo: A Transfer Learning Approach for Neural Network BasedConversational Agents

TransferTransfo: A Transfer Learning Approach for Neural Network BasedConversational Agents

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Scalable agent alignment via reward modeling: a research direction

Scalable agent alignment via reward modeling: a research direction

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2 min read
Prompt Injection attack against LLM-integrated Applications

Prompt Injection attack against LLM-integrated Applications

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Understanding R1-Zero-Like Training: A Critical Perspective

Understanding R1-Zero-Like Training: A Critical Perspective

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MiniCPM: Unveiling the Potential of Small Language Models with Scalable TrainingStrategies

MiniCPM: Unveiling the Potential of Small Language Models with Scalable TrainingStrategies

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R2D2: Repeatable and Reliable Detector and Descriptor

R2D2: Repeatable and Reliable Detector and Descriptor

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A Short Note on the Kinetics-700 Human Action Dataset

A Short Note on the Kinetics-700 Human Action Dataset

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RULER: What's the Real Context Size of Your Long-Context Language Models?

RULER: What's the Real Context Size of Your Long-Context Language Models?

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VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding inVideo-LLMs

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding inVideo-LLMs

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Toy Models of Superposition

Toy Models of Superposition

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Assessing BERT's Syntactic Abilities

Assessing BERT's Syntactic Abilities

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Fake News Detection on Social Media using Geometric Deep Learning

Fake News Detection on Social Media using Geometric Deep Learning

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Deep Speaker: an End-to-End Neural Speaker Embedding System

Deep Speaker: an End-to-End Neural Speaker Embedding System

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The UEA multivariate time series classification archive, 2018

The UEA multivariate time series classification archive, 2018

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Fine-tune BERT for Extractive Summarization

Fine-tune BERT for Extractive Summarization

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LRS3-TED: a large-scale dataset for visual speech recognition

LRS3-TED: a large-scale dataset for visual speech recognition

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YOLOv12: Attention-Centric Real-Time Object Detectors

YOLOv12: Attention-Centric Real-Time Object Detectors

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Neural Operator: Learning Maps Between Function Spaces

Neural Operator: Learning Maps Between Function Spaces

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Text and Code Embeddings by Contrastive Pre-Training

Text and Code Embeddings by Contrastive Pre-Training

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How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

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Sensing as a Service and Big Data

Sensing as a Service and Big Data

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AiiDA: Automated Interactive Infrastructure and Database for ComputationalScience

AiiDA: Automated Interactive Infrastructure and Database for ComputationalScience

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Ellipsis and Higher-Order Unification

Ellipsis and Higher-Order Unification

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Optimization-Based Autonomous Racing of 1:43 Scale RC Cars

Optimization-Based Autonomous Racing of 1:43 Scale RC Cars

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Super-Convergence: Very Fast Training of Neural Networks Using Large LearningRates

Super-Convergence: Very Fast Training of Neural Networks Using Large LearningRates

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Scaling Laws for Autoregressive Generative Modeling

Scaling Laws for Autoregressive Generative Modeling

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Escaping the Big Data Paradigm with Compact Transformers

Escaping the Big Data Paradigm with Compact Transformers

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Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models

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LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

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Fractional Max-Pooling

Fractional Max-Pooling

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EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models

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On the Min-cost Traveling Salesman Problem with Drone

On the Min-cost Traveling Salesman Problem with Drone

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INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTIONDataset in Interactive Driving Scenarios with Semantic

INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTIONDataset in Interactive Driving Scenarios with Semantic

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Domain Adaptation for Visual Applications: A Comprehensive Survey

Domain Adaptation for Visual Applications: A Comprehensive Survey

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Massively Parallel Methods for Deep Reinforcement Learning

Massively Parallel Methods for Deep Reinforcement Learning

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ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular PropertyPrediction

ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular PropertyPrediction

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Learning to Generate Reviews and Discovering Sentiment

Learning to Generate Reviews and Discovering Sentiment

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AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

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robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

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Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and TheirCombination

Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and TheirCombination

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Behavior Trees in Robotics and AI: An Introduction

Behavior Trees in Robotics and AI: An Introduction

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A Simple Semi-Supervised Learning Framework for Object Detection

A Simple Semi-Supervised Learning Framework for Object Detection

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Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

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TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

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One-shot Learning with Memory-Augmented Neural Networks

One-shot Learning with Memory-Augmented Neural Networks

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Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

Bird Species Categorization Using Pose Normalized Deep Convolutional Nets

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Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust DeepLearning

Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust DeepLearning

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Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Baseline Defenses for Adversarial Attacks Against Aligned Language Models

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TinyLlama: An Open-Source Small Language Model

TinyLlama: An Open-Source Small Language Model

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Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

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Lensless computational imaging through deep learning

Lensless computational imaging through deep learning

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