✨Multi-Domain Riemannian Graph Gluing for Building Graph Foundation Models

📝 Summary:
This paper proposes GraphGlue, a framework that uses Riemannian geometry and neural manifold gluing to integrate knowledge from diverse graph domains. It merges datasets into a unified manifold for systematic understanding of knowledge transfer. GraphGlue achieves superior performance and shows t...

🔹 Publication Date: Published on Feb 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.00618
• PDF: https://arxiv.org/pdf/2603.00618
• Github: https://github.com/RiemannGraph/GraphGlue

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#GraphFoundationModels #RiemannianGeometry #GraphAI #KnowledgeTransfer #MachineLearning

✨Next Embedding Prediction Makes World Models Stronger

📝 Summary:
NE-Dreamer uses a temporal transformer to predict next-step encoder embeddings, enabling strong model-based reinforcement learning without decoders. This approach learns coherent state representations and achieves strong performance on DeepMind Control Suite and challenging DMLab tasks.

🔹 Publication Date: Published on Mar 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.02765
• PDF: https://arxiv.org/pdf/2603.02765
• Project Page: https://corl-team.github.io/nedreamer/
• Github: https://github.com/corl-team/nedreamer

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨DynaMoE: Dynamic Token-Level Expert Activation with Layer-Wise Adaptive Capacity for Mixture-of-Experts Neural Networks

📝 Summary:
DynaMoE presents a dynamic Mixture-of-Experts framework that adapts expert activation and capacity allocation based on input complexity and task requirements, improving parameter efficiency and traini...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01697
• PDF: https://arxiv.org/pdf/2603.01697

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨SciDER: Scientific Data-centric End-to-end Researcher

📝 Summary:
SciDER automates scientific research by processing raw experimental data through collaborative agents that generate hypotheses and experimental designs while executing code, demonstrating superior per...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01421
• PDF: https://arxiv.org/pdf/2603.01421
• Project Page: https://harryluumn.github.io/scider-proj-page/
• Github: https://github.com/leonardodalinky/SciDER

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨BBQ-to-Image: Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models

📝 Summary:
BBQ is a text-to-image model that enables precise numeric control over object attributes through structured-text conditioning without architectural changes. AI-generated summary Text-to-image models h...

🔹 Publication Date: Published on Feb 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.20672
• PDF: https://arxiv.org/pdf/2602.20672

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨GroupGPT: A Token-efficient and Privacy-preserving Agentic Framework for Multi-User Chat Assistant

📝 Summary:
GroupGPT is a token-efficient and privacy-preserving framework for multi-user chat assistance that uses a small-large model collaboration approach to improve intervention timing and response accuracy ...

🔹 Publication Date: Published on Mar 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01059
• PDF: https://arxiv.org/pdf/2603.01059
• Github: https://github.com/Eliot-Shen/GroupGPT

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Transformers converge to invariant algorithmic cores

📝 Summary:
Independently trained transformers converge to shared low-dimensional algorithmic cores. These compact invariants reveal the computational essence across training runs and scales, suggesting a new focus for mechanistic interpretability.

🔹 Publication Date: Published on Feb 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.22600
• PDF: https://arxiv.org/pdf/2602.22600

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Humans and LLMs Diverge on Probabilistic Inferences

📝 Summary:
LLMs consistently fail to replicate human probabilistic reasoning patterns in open-ended inferences, despite strong performance on logical and mathematical tasks. The ProbCOPA dataset reveals this key divergence, highlighting a need to evaluate AI reasoning beyond deterministic settings.

🔹 Publication Date: Published on Feb 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.23546
• PDF: https://arxiv.org/pdf/2602.23546
• Project Page: https://grvkamath.github.io/probcopa-demo/index.html
• Github: https://github.com/McGill-NLP/probabilistic-reasoning

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias

📝 Summary:
Machine unlearning in biased models suffers from shortcut unlearning, where bias attributes are forgotten instead of class attributes. The CUPID framework addresses this by partitioning data based on loss sharpness and disentangling causal and bias pathways for targeted updates, achieving state-o...

🔹 Publication Date: Published on Feb 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.21773
• PDF: https://arxiv.org/pdf/2602.21773

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs

📝 Summary:
QEDBench quantifies a systematic Alignment Gap in LLM evaluation of university-level math proofs. It reveals score inflation in some frontier models and a critical reasoning gap in discrete mathematics for others. QEDBench is now a public benchmark.

🔹 Publication Date: Published on Feb 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.20629
• PDF: https://arxiv.org/pdf/2602.20629
• Project Page: https://quanquancliu.com/QEDBench/index.html
• Github: https://github.com/qqliu/Yale-QEDBench

✨ Datasets citing this paper:
• https://huggingface.co/datasets/qqggez/QEDBench

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution

📝 Summary:
ParEVO synthesizes high-performance parallel algorithms for irregular data structures using specialized LLMs and evolutionary coding to achieve significant speedups over existing methods. AI-generated...

🔹 Publication Date: Published on Mar 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.02510
• PDF: https://arxiv.org/pdf/2603.02510
• Project Page: https://quanquancliu.com/ParEVO/index.html
• Github: https://github.com/WildAlg/ParEVO

🔹 Models citing this paper:
• https://huggingface.co/qqggez/qwen3-30b-sft-stage2-merged
• https://huggingface.co/qqggez/deepseek-parlay-6.7b

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨LFPO: Likelihood-Free Policy Optimization for Masked Diffusion Models

📝 Summary:
LFPO trains diffusion LLMs by directly optimizing denoising logits through geometric velocity rectification, avoiding complex likelihood calculations. This yields precise gradient estimates, faster inference, and better performance on code and reasoning tasks.

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01563
• PDF: https://arxiv.org/pdf/2603.01563
• Github: https://github.com/kithib/LFPO

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation

📝 Summary:
ROSA2 framework addresses multi-turn LLM interactions by jointly optimizing textual intent clarity and model parameters, achieving superior mathematical reasoning performance with fewer interaction ro...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01375
• PDF: https://arxiv.org/pdf/2603.01375
• Github: https://github.com/kithib/ROSA2

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Helios: Real Real-Time Long Video Generation Model

📝 Summary:
Helios is a 14B autoregressive diffusion model that achieves real-time minute-scale video generation at 19.5 FPS on a single GPU. It innovatively overcomes long-video drifting and real-time performance challenges without conventional acceleration or anti-drifting techniques. Helios supports T2V, ...

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04379
• PDF: https://arxiv.org/pdf/2603.04379
• Github: https://pku-yuangroup.github.io/Helios-Page/

🔹 Models citing this paper:
• https://huggingface.co/BestWishYsh/Helios-Base
• https://huggingface.co/BestWishYsh/Helios-Distilled
• https://huggingface.co/BestWishYsh/Helios-Mid

✨ Spaces citing this paper:
• https://huggingface.co/spaces/multimodalart/Helios-Distilled

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨ArtHOI: Articulated Human-Object Interaction Synthesis by 4D Reconstruction from Video Priors

📝 Summary:
ArtHOI synthesizes articulated human-object interactions by formulating 4D reconstruction from monocular video priors, using optical flow for part segmentation and a decoupled reconstruction pipeline ...

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04338
• PDF: https://arxiv.org/pdf/2603.04338
• Project Page: https://arthoi.github.io/
• Github: https://github.com/Inso-13/ArtHOI

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

📝 Summary:
A memory mechanism called Memex enables large language model agents to handle long-horizon tasks more effectively by maintaining compact context through structured summaries while storing full interac...

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04257
• PDF: https://arxiv.org/pdf/2603.04257

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Phi-4-reasoning-vision-15B Technical Report

📝 Summary:
A compact open-weight multimodal reasoning model is presented that achieves competitive performance through careful architecture design, high-quality data curation, and a hybrid approach combining dir...

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.03975
• PDF: https://arxiv.org/pdf/2603.03975
• Project Page: https://www.microsoft.com/en-us/research/blog/phi-4-reasoning-vision-and-the-lessons-of-training-a-multimodal-reasoning-model/
• Github: https://github.com/microsoft/Phi-4-reasoning-vision-15B

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Heterogeneous Agent Collaborative Reinforcement Learning

📝 Summary:
HACRL enables collaborative reinforcement learning where heterogeneous agents share verified rollouts during training to improve collectively while maintaining independent operation at inference time,...

🔹 Publication Date: Published on Mar 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.02604
• PDF: https://arxiv.org/pdf/2603.02604
• Project Page: https://zzx-peter.github.io/hacrl/
• Github: https://zzx-peter.github.io/hacrl/

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning

📝 Summary:
Structure of Thought prompting technique enhances language model performance by guiding explicit intermediate text structuring across diverse tasks, while T2S-Bench benchmark evaluates and improves te...

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.03790
• PDF: https://arxiv.org/pdf/2603.03790
• Project Page: https://t2s-bench.github.io/T2S-Bench-Page/
• Github: https://t2s-bench.github.io/T2S-Bench-Page/

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨CubeComposer: Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video

📝 Summary:
CubeComposer is a spatio-temporal autoregressive diffusion model that generates high-resolution 360° panoramic videos by decomposing them into cubemap representations and using efficient autoregressiv...

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.04291
• PDF: https://arxiv.org/pdf/2603.04291
• Project Page: https://lg-li.github.io/project/cubecomposer
• Github: https://github.com/TencentARC/CubeComposer

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research

✨Proact-VL: A Proactive VideoLLM for Real-Time AI Companions

📝 Summary:
Proact-VL is a multimodal framework that enables real-time interactive AI companions for gaming scenarios with low-latency responses and strong video understanding capabilities. AI-generated summary P...

🔹 Publication Date: Published on Mar 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.03447
• PDF: https://arxiv.org/pdf/2603.03447

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

For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #DataScience #MachineLearning #HuggingFace #Research