BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining

‏https://arxiv.org/abs/2506.21567

یکی از کارهایی که دوستان زحمت کشیدن.
این کار حدود ۵ ماه طول کشید .


@Machine_learn

Google Cloud donates A2A to Linux Foundation

📚 Read


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5 Things You Need to Know About Agentic AI

📚 Guide

@Machine_learn

با عرض سلام مي خواهيم مقاله اي براي ACM transaction on Ai ارائه بديم موضوع اصلي حول
Recurrent Neural Network Basic defiences
مي باشد.
نيازمند نفر 4ام هستيم كه بتونن در نگارش و كارها و هزينه كار كمكمون كند. هزينه نفرات براي اين كار كه ١٨ بنچ مارك داره از قرار زير:

1: 700$(❌)
2: 500$❌
3: 400$❌
4: 350$ ✅
دوستاني كه مايل هستن مي تونن به ايدي بنده پيام بدن.

@Raminmousa

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
==================================

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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:

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

📚 Paper

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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
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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

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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

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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
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@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