Article Title:
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers


PDF Download Link:
https://arxiv.org/pdf/2504.19254v2.pdf

GitHub:
• https://github.com/cvs-health/uqlm

Datasets:
• GSM8K
• SVAMP
• PopQA
==================================

@Machine_learn

SWE-bench Goes Live

🖥 Github: https://github.com/microsoft/swe-bench-live

📕 Paper: https://arxiv.org/abs/2505.23419v1

🔗 Tasks: https://paperswithcode.com/dataset/humaneval

For more data science resources:

@Machine_learn

Performance Prediction for Large Systems via Text-to-Text Regression

📚 Paper

@Machine_learn

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows

📄 Book


@Machine_learn

The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

tldr: Person with AI ~ Person who talks and works with teammates.

Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5188231
@Machine_learn

Vine Copulas as Differentiable Computational Graphs

🖥 Github: https://github.com/TY-Cheng/torchvinecopulib

📕 Paper: https://arxiv.org/abs/2506.13318v1

🔗 Tasks: https://paperswithcode.com/task/scheduling

@Machine_learn

AI4Research: A Survey of Artificial Intelligence for Scientific Research

📚 Paper

@Machine_learn

UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation

🖥 Github: https://github.com/tliby/unifork

📕 Paper: https://arxiv.org/abs/2506.17202v1

🔗 Dataset: https://paperswithcode.com/dataset/gqa

@Machine_learn

سلام دوستانی که مقالات مرتبط با یادگیری ماشین و یادگیری عمیق دارند و می خوان افرادی در مقالاتشون مشارکت کنند با رعایت برخی شرایط می تونن در کانالهای ما مقالاتشون رو ثبت کنن.
@Raminmousa
@Machine_learn
@paper4money

TCANet for motor imagery EEG classification

🖥 Github: https://github.com/tliby/unifork

📕 Paper: https://link.springer.com/article/10.1007/s11571-025-10275-5

🔗 Dataset: https://paperswithcode.com/task/brain-computer-interface

@Machine_learn

با عرض سلام نفرات ٢ تا ٤ قابل اضافه شدن به مقاله زير مي باشد.
Title:Probability latent for Recurrent Neural Networks Basic deficiencies


abstract:
Time series prediction analyzes patterns in past data to predict the future. Traditional machine learning algorithms, despite achieving impressive results, require manual feature selection. Automatic feature selection along with the addition of the time concept in deep recurrent networks has led to more suitable solutions. The selection of feature order in deep recurrent networks leads to the provision of different results due to the use of back-propagation. The problem of selecting feature order is an NP-complete problem. . ..... The proposed approach has an improvement of 0.49 over the reviewed approaches in some benchmarks.

Price:
2:500$
3:400$
4:250$

@Raminmousa
@Machine_learn
@Paper4money

Context Engineering Guide

📚 Read

@Machine_learn

A Beginner’s Guide to AirTable for Data Analysis

📚 Guide

@Machine_learn

Article Title:
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning


PDF Download Link:
https://arxiv.org/pdf/2505.24298v2.pdf

GitHub:
• https://github.com/inclusionai/areal

Datasets:
• MATH

@Machine_learn

با عرض سلام نيازمند شخصي هستيم كه بتونه در پروژه MedicalRec به ما كمك كنه.
Git:https://github.com/Ramin1Mousa/MedicalRec

هدف اين پروژه ارائه ي يك ريكامندر در حوزه پزشكي است كه از ترين مجدد شبكه ها جلوگيري كنه. كه منجر به صرف جوي در هزينه و صرف جوي در انرژي مصرفي ميشه.
مجموعه داده ها شامل ٣٠٠٠ مقاله بوده كه كامل طي ٣ ماه جمع اوري شده است.
هزينه مشاركت ٥٠٠$ هستش و اسم به عنوان نفر دوم در نظر گرفته ميشه.

Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence

If: 18.6

@Raminmousa