Data science research papers

الذهاب إلى القناة على Telegram

Machine learning and data science research papers Key ML and AI papers with code and GitHub repos. Simple way to follow current research. Join 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

إظهار المزيد

الشبكة:Programming, data science, ML - free courses by Big Data Specialist الولايات المتحدة7 549 التعليم41 979

3 126

المشتركون

+1024 ساعات

+187 أيام

+11330 أيام

339

عرض المشاهدات

~ 6924 ساعات

~ 9848 ساعات

10.85%

معدل المشاركة

لا توجد بيانات

المشاركات في اليوم

Ads index

beta

جاري تحميل البيانات...

القنوات المماثلة

77.3K

Data Science & Machine Learning

13.9K

Data science/ML/AI

12.4K

Faculty Of India @Brainovision

قنوات أخرى

الإشارات الواردة والصادرة

---

جذب المشتركين

أغسطس '26

+157

في 0 قنوات

يوليو '26

+149

في 0 قنوات

Get PRO

يونيو '26

+97

في 0 قنوات

Get PRO

مايو '26

+104

في 1 قنوات

Get PRO

أبريل '26

+114

في 0 قنوات

Get PRO

مارس '26

+101

في 0 قنوات

Get PRO

فبراير '26

+82

في 0 قنوات

Get PRO

يناير '26

+118

في 9 قنوات

Get PRO

ديسمبر '25

+115

في 0 قنوات

Get PRO

نوفمبر '25

+112

في 0 قنوات

Get PRO

أكتوبر '25

+43

في 0 قنوات

Get PRO

سبتمبر '25

في 0 قنوات

Get PRO

أغسطس '25

في 0 قنوات

Get PRO

يوليو '25

في 0 قنوات

Get PRO

يونيو '25

في 0 قنوات

Get PRO

مايو '25

في 0 قنوات

Get PRO

أبريل '25

+15

في 0 قنوات

Get PRO

مارس '25

+112

في 0 قنوات

Get PRO

فبراير '25

+153

في 0 قنوات

Get PRO

يناير '25

+187

في 0 قنوات

Get PRO

ديسمبر '24

+179

في 0 قنوات

Get PRO

نوفمبر '24

+165

في 0 قنوات

Get PRO

أكتوبر '24

+136

في 0 قنوات

Get PRO

سبتمبر '24

+108

في 0 قنوات

Get PRO

أغسطس '24

+114

في 0 قنوات

Get PRO

يوليو '24

+139

في 0 قنوات

Get PRO

يونيو '24

+115

في 0 قنوات

Get PRO

مايو '24

+132

في 1 قنوات

Get PRO

أبريل '24

+109

في 0 قنوات

Get PRO

مارس '24

+146

في 0 قنوات

Get PRO

فبراير '24

+183

في 0 قنوات

Get PRO

يناير '24

+228

في 0 قنوات

Get PRO

ديسمبر '23

+171

في 1 قنوات

Get PRO

نوفمبر '23

+28

في 0 قنوات

Get PRO

أكتوبر '23

+28

في 0 قنوات

Get PRO

سبتمبر '23

+504

في 0 قنوات

التاريخ	نمو المشتركين	الإشارات	القنوات
29 أغسطس	+4
28 أغسطس	+10
27 أغسطس	+4
26 أغسطس	+2
25 أغسطس	+4
24 أغسطس	+1
23 أغسطس	+4
22 أغسطس	+2
21 أغسطس	+3
20 أغسطس	+8
19 أغسطس	+3
18 أغسطس	+3
17 أغسطس	+9
16 أغسطس	+1
15 أغسطس	+4
14 أغسطس	+6
13 أغسطس	+7
12 أغسطس	+5
11 أغسطس	+6
10 أغسطس	+2
09 أغسطس	+4
08 أغسطس	+6
07 أغسطس	+32
06 أغسطس	+5
05 أغسطس	+5
04 أغسطس	+7
03 أغسطس	+2
02 أغسطس	+3
01 أغسطس	+5

منشورات القناة

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent 📅 Publication Date: Jun 29, 2026 📑 Paper: https://arxiv.org/pdf/2606.30616.pdf 🔗 Code: N/A 📝 Description: Agents-A1, a 35B Mixture-of-Experts Agentic Model, achieves trillion-parameter-level performance through long-horizon trajectory scaling and heterogeneous agent ability scaling via a three-stage training approach involving supervised fine-tuning, domain-level teacher models, and multi-teacher distil...

2	PhysisForcing: Physics Reinforced World Simulator for Robotic Manipulation 📅 Publication Date: Jun 26, 2026 📑 Paper: https://arxiv.org/pdf/2606.28128.pdf 🔗 Code: https://github.com/huggingface 📝 Description: PhysisForcing enhances embodied video generation by enforcing physical consistency through pixel-level trajectory alignment and semantic-level relational alignment losses in a DiT-based framework.	141
3	LiveEdit: Towards Real-Time Diffusion-Based Streaming Video Editing 📅 Publication Date: Jun 25, 2026 📑 Paper: https://arxiv.org/pdf/2606.26740.pdf 🔗 Code: N/A 📝 Description: A novel streaming video editing framework enables causal, frame-by-frame editing with stable long-horizon preservation and real-time responsiveness through a three-stage distillation pipeline and AR-oriented mask cache.	190
4	BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding 📅 Publication Date: Jun 30, 2026 📑 Paper: https://arxiv.org/pdf/2606.31315.pdf 🔗 Code: N/A 📝 Description: Speculative decoding with adaptive block size selection improves inference efficiency by predicting optimal block sizes from prefilling representations, achieving significant speedup with minimal overhead.	234
5	DOPD: Dual On-policy Distillation 📅 Publication Date: Jun 29, 2026 📑 Paper: https://arxiv.org/pdf/2606.30626.pdf 🔗 Code: https://github.com/huggingface 📝 Description: DOPD addresses privilege illusion in on-policy distillation by dynamically routing token-level supervision between teacher and student policies based on advantage gaps and probabilities, improving capability transfer in large and vision-language models.	273
6	Dockerless: Environment-Free Program Verifier for Coding Agents 📅 Publication Date: Jun 26, 2026 📑 Paper: https://arxiv.org/pdf/2606.28436.pdf 🔗 Code: https://github.com/huggingface 📝 Description: A Dockerless environment-free agentic patch verifier improves code patch evaluation accuracy and enables effective post-training without execution-based verification costs.	313
7	Agentic Abstention: Do Agents Know When to Stop Instead of Act? 📅 Publication Date: Jun 27, 2026 📑 Paper: https://arxiv.org/pdf/2606.28733.pdf 🔗 Code: https://github.com/huggingface 📝 Description: Agentic abstention involves determining when an AI agent should cease interaction under uncertainty, requiring sequential decision-making across multiple environments and task types.	338
8	Orca: The World is in Your Mind 📅 Publication Date: Jun 29, 2026 📑 Paper: https://arxiv.org/pdf/2606.30534.pdf 🔗 Code: https://github.com/huggingface 📝 Description: Orca establishes a unified world latent space through next-state-prediction modeling using multimodal data and demonstrates superior performance in downstream tasks compared to specialized baselines.	351
9	Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention 📅 Publication Date: Jun 18, 2026 📑 Paper: https://arxiv.org/pdf/2606.20945.pdf 🔗 Code: https://github.com/huggingface 📝 Description: Grouped Query Experts (GQE) improves Transformer efficiency by selectively activating query heads based on token content while maintaining key-value cache benefits of grouped-query attention.	368
10	PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems 📅 Publication Date: Jun 21, 2026 📑 Paper: https://arxiv.org/pdf/2606.22388.pdf 🔗 Code: https://github.com/huggingface 📝 Description: PlanBench-XL evaluates large language model agents' ability to plan and adapt in complex tool-rich environments with limited visibility and dynamic disruptions.	384
11	Are We Ready For An Agent-Native Memory System? 📅 Publication Date: Jun 23, 2026 📑 Paper: https://arxiv.org/pdf/2606.24775.pdf 🔗 Code: https://github.com/huggingface 📝 Description: Large language model agents' memory systems have evolved into complex data management frameworks requiring systematic evaluation across multiple modules and workloads to understand their performance characteristics and trade-offs.	386
12	EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions 📅 Publication Date: Jun 22, 2026 📑 Paper: https://arxiv.org/pdf/2606.23654.pdf 🔗 Code: https://github.com/huggingface 📝 Description: EnterpriseClawBench presents a benchmark for enterprise agents based on real-world sessions with 852 reproducible tasks, emphasizing comprehensive evaluation metrics beyond single performance scores.	369
13	OpenRath: Session-Centered Runtime State for Agent Systems 📅 Publication Date: Jun 17, 2026 📑 Paper: https://arxiv.org/pdf/2606.19409.pdf 🔗 Code: https://github.com/huggingface 📝 Description: OpenRath introduces a PyTorch-like programming model for multi-agent systems using Session as a central runtime abstraction that enables explicit fork, merge, and replay operations while recording comprehensive execution state.	388
14	MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision 📅 Publication Date: Jun 15, 2026 📑 Paper: https://arxiv.org/pdf/2606.17162.pdf 🔗 Code: https://github.com/huggingface 📝 Description: MemSlides presents a hierarchical memory framework for personalized presentation agents that separates long-term user profiles, working memory for session constraints, and tool memory for reusable execution experiences to enable stable personalization and reliable local edits.	433
15	Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs 📅 Publication Date: May 7, 2026 📑 Paper: https://arxiv.org/pdf/2606.27378.pdf 🔗 Code: N/A 📝 Description: An axiomatic evaluation framework reveals systematic failures in latent thought representations of LLMs across multiple reasoning tasks, demonstrating that current representations fail to satisfy fundamental functional axioms consistently across different model architectures.	392
16	EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions 📅 Publication Date: Jun 22, 2026 📑 Paper: https://arxiv.org/pdf/2606.23654.pdf 🔗 Code: https://github.com/huggingface 📝 Description: EnterpriseClawBench presents a benchmark for enterprise agents based on real-world sessions with 852 reproducible tasks, emphasizing comprehensive evaluation metrics beyond single performance scores.	418
17	Heterogeneous Scientific Foundation Model Collaboration 📅 Publication Date: Apr 30, 2026 📑 Paper: https://arxiv.org/pdf/2604.27351.pdf 🔗 Code: https://github.com/Violet24K/Eywa 📝 Description: Eywa is a heterogeneous agentic framework that extends language-centric systems to scientific foundation models by integrating domain-specific models with language-based reasoning interfaces for improved performance across diverse scientific domains.	444
18	OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents 📅 Publication Date: May 6, 2026 📑 Paper: https://arxiv.org/pdf/2605.05185.pdf 🔗 Code: https://github.com/shawn0728/OpenSearch-VL 📝 Description: OpenSearch-VL presents an open-source framework for training advanced multimodal search agents using reinforcement learning, featuring specialized data curation, diverse tool environments, and a novel training algorithm that improves performance across multiple benchmarks.	427
19	WorldOlympiad: Can Your World Model Survive a Triathlon? 📅 Publication Date: Jun 9, 2026 📑 Paper: https://arxiv.org/pdf/2606.11129 💻 Project Page: https://alibaba-damo-academy.github.io/WorldOlympiad/ 📝 Description: The paper introduces WorldOlympiad, a comprehensive benchmark for evaluating video-based world models. The problem with current generative models is that they often focus on visual quality, but lack physical faithfulness, geometric consistency, and interaction fidelity. To address this gap, WorldOlympiad decomposes world-model evaluation into three dimensions: physical faithfulness, geometric consistency, and interaction fidelity. WorldOlympiad covers three major downstream scenarios, including gaming, robotics, and general real-world videos, capturing diverse challenges from interactive control and embodied manipulation to open-domain motion and camera dynamics. #WorldModelEvaluation #VideoBasedWorldModels #PhysicalFaithfulness #GeometricConsistency	421
20	Qwen-AgentWorld: Language World Models for General Agents 📅 Publication Date: Jun 23, 2026 📑 Paper: https://arxiv.org/pdf/2606.24597.pdf 🔗 Code: https://github.com/huggingface 📝 Description: Language-based world models enable agentic environment simulation across multiple domains and enhance general agent performance through scalable simulation and improved downstream task performance.	402

عرض جميع المنشورات