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Llms

Stop Overcomplicating AI Workflows. This Is the Simple Framework

I’ve been working on building an agentic AI workflow system for business use cases and one thing became very clear very quickly. This is ...

Reddit - Artificial Intelligence · 1 min ·
Nlp

[D] Is ACL more about the benchmarks now?

I am not a NLP guy, but afaik ACL is one of the premium venues of NLP. And given that the results were announced recently, my LinkedIn an...

Reddit - Machine Learning · 1 min ·
[2604.01676] GPA: Learning GUI Process Automation from Demonstrations
Llms

[2604.01676] GPA: Learning GUI Process Automation from Demonstrations

Abstract page for arXiv paper 2604.01676: GPA: Learning GUI Process Automation from Demonstrations

arXiv - AI · 3 min ·

All Content

[2410.03041] Minmax Trend Filtering: Generalizations of Total Variation Denoising via a Local Minmax/Maxmin Formula
Nlp

[2410.03041] Minmax Trend Filtering: Generalizations of Total Variation Denoising via a Local Minmax/Maxmin Formula

The paper introduces Minmax Trend Filtering (MTF), a novel approach to Total Variation Denoising (TVD) that utilizes a local minmax/maxmi...

arXiv - Machine Learning · 4 min ·
[2312.17111] Online Tensor Inference
Machine Learning

[2312.17111] Online Tensor Inference

The paper presents a novel framework for online tensor inference, addressing the challenges of real-time data processing in applications ...

arXiv - Machine Learning · 4 min ·
[2602.11151] Diffusion-Pretrained Dense and Contextual Embeddings
Llms

[2602.11151] Diffusion-Pretrained Dense and Contextual Embeddings

The paper introduces pplx-embed, a family of multilingual embedding models utilizing diffusion-pretrained language models for enhanced re...

arXiv - Machine Learning · 3 min ·
[2510.17406] Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals
Machine Learning

[2510.17406] Multi-Window Temporal Analysis for Enhanced Arrhythmia Classification: Leveraging Long-Range Dependencies in Electrocardiogram Signals

This paper presents S4ECG, a novel deep learning architecture that enhances arrhythmia classification by analyzing multiple ECG windows, ...

arXiv - Machine Learning · 4 min ·
[2509.25826] Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models
Llms

[2509.25826] Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models

The paper presents Kairos, a novel time series foundation model that enhances zero-shot generalization by decoupling temporal heterogenei...

arXiv - Machine Learning · 4 min ·
[2509.14585] Online reinforcement learning via sparse Gaussian mixture model Q-functions
Machine Learning

[2509.14585] Online reinforcement learning via sparse Gaussian mixture model Q-functions

This paper presents an innovative online reinforcement learning framework using sparse Gaussian mixture model Q-functions, enhancing expl...

arXiv - Machine Learning · 3 min ·
[2509.10406] Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
Machine Learning

[2509.10406] Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining

The paper introduces Multipole Semantic Attention (MuSe), a method that accelerates pretraining of transformers on long sequences by 36% ...

arXiv - Machine Learning · 3 min ·
[2504.16585] Leveraging Noisy Manual Labels as Useful Information: An Information Fusion Approach for Enhanced Variable Selection in Penalized Logistic Regression
Nlp

[2504.16585] Leveraging Noisy Manual Labels as Useful Information: An Information Fusion Approach for Enhanced Variable Selection in Penalized Logistic Regression

This paper explores how noisy manual labels can enhance variable selection in penalized logistic regression, proposing a novel algorithm ...

arXiv - Machine Learning · 4 min ·
[2602.13168] Realistic Face Reconstruction from Facial Embeddings via Diffusion Models
Machine Learning

[2602.13168] Realistic Face Reconstruction from Facial Embeddings via Diffusion Models

This paper presents a novel framework for reconstructing realistic high-resolution face images from facial embeddings using diffusion mod...

arXiv - Machine Learning · 3 min ·
[2602.12937] Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models
Machine Learning

[2602.12937] Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models

This article presents a novel approach to Arabic Dialect Identification by framing it as a multi-label classification task, utilizing cur...

arXiv - Machine Learning · 4 min ·
[2602.12932] TFTF: Training-Free Targeted Flow for Conditional Sampling
Machine Learning

[2602.12932] TFTF: Training-Free Targeted Flow for Conditional Sampling

The paper presents a novel training-free method for conditional sampling in flow matching models, addressing the limitations of importanc...

arXiv - Machine Learning · 3 min ·
[2602.12923] Annealing in variational inference mitigates mode collapse: A theoretical study on Gaussian mixtures
Machine Learning

[2602.12923] Annealing in variational inference mitigates mode collapse: A theoretical study on Gaussian mixtures

This article presents a theoretical analysis of how annealing strategies can mitigate mode collapse in variational inference, particularl...

arXiv - Machine Learning · 3 min ·
[2602.12825] Reliable Hierarchical Operating System Fingerprinting via Conformal Prediction
Nlp

[2602.12825] Reliable Hierarchical Operating System Fingerprinting via Conformal Prediction

This paper presents a novel approach to Operating System fingerprinting using Conformal Prediction, addressing limitations in existing me...

arXiv - Machine Learning · 3 min ·
[2602.12778] Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews
Machine Learning

[2602.12778] Aspect-Based Sentiment Analysis for Future Tourism Experiences: A BERT-MoE Framework for Persian User Reviews

This article presents a novel BERT-MoE framework for aspect-based sentiment analysis (ABSA) tailored for Persian user reviews in the tour...

arXiv - Machine Learning · 4 min ·
[2602.12510] Visual RAG Toolkit: Scaling Multi-Vector Visual Retrieval with Training-Free Pooling and Multi-Stage Search
Machine Learning

[2602.12510] Visual RAG Toolkit: Scaling Multi-Vector Visual Retrieval with Training-Free Pooling and Multi-Stage Search

The Visual RAG Toolkit enhances multi-vector visual retrieval by introducing a training-free pooling method and a multi-stage search proc...

arXiv - Machine Learning · 4 min ·
[2602.12575] Discovering Semantic Latent Structures in Psychological Scales: A Response-Free Pathway to Efficient Simplification
Nlp

[2602.12575] Discovering Semantic Latent Structures in Psychological Scales: A Response-Free Pathway to Efficient Simplification

This article presents a novel framework for simplifying psychological scales by discovering semantic latent structures without relying on...

arXiv - Machine Learning · 4 min ·
[2602.12445] RBCorr: Response Bias Correction in Language Models
Llms

[2602.12445] RBCorr: Response Bias Correction in Language Models

The paper presents RBCorr, a method for correcting response biases in language models, demonstrating its effectiveness across various mod...

arXiv - Machine Learning · 3 min ·
[2602.12426] Interference-Robust Non-Coherent Over-the-Air Computation for Decentralized Optimization
Nlp

[2602.12426] Interference-Robust Non-Coherent Over-the-Air Computation for Decentralized Optimization

This paper presents an interference-robust non-coherent over-the-air computation (IR-NCOTA) method for decentralized optimization, enhanc...

arXiv - Machine Learning · 3 min ·
[2602.12301] Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries
Data Science

[2602.12301] Beyond Musical Descriptors: Extracting Preference-Bearing Intent in Music Queries

This article presents a novel dataset, MusicRecoIntent, aimed at understanding user intent in music queries by analyzing descriptors and ...

arXiv - Machine Learning · 3 min ·
[2602.13140] FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
Machine Learning

[2602.13140] FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics

FlashSchNet presents a novel framework for molecular dynamics simulations, enhancing speed and accuracy through innovative techniques in ...

arXiv - Machine Learning · 4 min ·
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