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Updated: April 8, 2026 at 4:13 PM

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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

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Data science research papers

Mar 18, 2026, 11:48 AM

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OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation

📅 Publication date: Nov 17 2025

📑 https://arxiv.org/pdf/2511.13655.pdf

🔗 https://github.com/allenai/olmoearth_pretrain

407

Data science research papers

Mar 18, 2026, 11:48 AM

Part-X-MLLM: Part-aware 3D Multimodal Large Language Model

📅 Publication date: Nov 17 2025

📑 Paper: https://arxiv.org/pdf/2511.13647.pdf

🔗 Code: https://github.com/AiEson/Part-X-MLLM

449

Data science research papers

Mar 18, 2026, 11:48 AM

InstructVLA: Vision-Language-Action Instruction Tuning from
Understanding to Manipulation

📅 Publication date: Jul 23 2025

📑 https://arxiv.org/pdf/2507.17520.pdf

🔗 Code: N/A

📝 Description:

InstructVLA is an end-to-end vision-language-action model that enhances manipulation performance while preserving vision-language reasoning through multimodal training and mixture-of-experts adaptation.

466

Data science research papers

Mar 18, 2026, 11:48 AM

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Training Long-Context, Multi-Turn Software Engineering Agents with
Reinforcement Learning

📅 Publication date: Aug 5 2025

📑 https://arxiv.org/pdf/2508.03501.pdf

🔗 Code: N/A

443

Data science research papers

Mar 18, 2026, 11:48 AM

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UnSAMv2: Self-Supervised Learning Enables Segment Anything at Any Granularity

📅 Publication date: Nov 17 2025

📑 Paper: https://arxiv.org/pdf/2511.13714.pdf

🔗 Code: https://github.com/yujunwei04/UnSAMv2

443

Data science research papers

Mar 18, 2026, 11:48 AM

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Virtual Width Networks

📅 Publication date: Nov 14 2025

📑 Paper: https://arxiv.org/pdf/2511.11238.pdf

🔗 Code: N/A

📝 Description:

Virtual Width Networks (VWN) enhance model efficiency by expanding representational width without increasing computational cost, accelerating optimization and improving loss reduction.

484

Data science research papers

Mar 18, 2026, 11:48 AM

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PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers

📅 Publication Date: Published on Feb 1

📑 Paper: https://arxiv.org/pdf/2602.01077

🔗 Code: https://github.com/xie-lab-ml/piecewise-sparse-attention

📝 Description:

PISA is a novel sparse attention method that improves diffusion transformer efficiency by approximating non-critical attention blocks instead of discarding them, achieving faster processing.

459

Data science research papers

Mar 18, 2026, 11:48 AM

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DiscoX: Benchmarking Discourse-Level Translation task in Expert Domains

📅 Publication date: Nov 14 2025

📑 https://arxiv.org/pdf/2511.10984.pdf

🔗 Code: N/A

📝 Description:

A new benchmark DiscoX and evaluation system Metric-S are introduced to assess discourse-level and expert-level Chinese-English translation, highlighting the challenges in achieving professional-grade machine translation.

462

Data science research papers

Mar 18, 2026, 11:48 AM

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning

📅 Publication date: Nov 18 2025

📑 Paper: https://arxiv.org/pdf/2511.14460.pdf

🔗 Code: https://github.com/0russwest0/Agent-R1

📝 Description:

A new training framework for RL-based LLM Agents is introduced, extending MDP methodology and demonstrating effectiveness on Multihop QA tasks.

422

Data science research papers

Mar 18, 2026, 11:48 AM

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OVD: On-policy Verbal Distillation

📅 Publication Date: Published on Jan 29

📑 Paper: https://arxiv.org/pdf/2601.21968

🔗 Code: https://OVD.github.io/

📝 Description:

On-policy Verbal Distillation (OVD) enables efficient knowledge transfer from teacher to student models by replacing token-level probability matching with trajectory matching.

475

Data science research papers

Mar 16, 2026, 11:29 AM

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INDIBATOR: Diverse and Fact-Grounded Individuality for Multi-Agent Debate in Molecular Discovery

📅 Publication Date: Published on Feb 2 2025

📑 Paper: https://arxiv.org/pdf/2602.01815

🔗 Code: N/A

📝 Description:

Multi-agent systems for molecular discovery that use individualized scientist profiles based on publication and molecular history outperform traditional role-based approaches.

503

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