ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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πŸ”Ή Title: GTAlign: Game-Theoretic Alignment of LLM Assistants for Mutual Welfare

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.08872
β€’ PDF: https://arxiv.org/pdf/2510.08872
β€’ Github: https://github.com/ulab-uiuc/GTAlign

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πŸ”Ή Title: Understanding DeepResearch via Reports

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.07861
β€’ PDF: https://arxiv.org/pdf/2510.07861

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πŸ”Ή Title: A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks

πŸ”Ή Publication Date: Published on Oct 7

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.05608
β€’ PDF: https://arxiv.org/pdf/2510.05608

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πŸ”Ή Title: Mitigating Overthinking through Reasoning Shaping

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.09535
β€’ PDF: https://arxiv.org/pdf/2510.09535

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πŸ”Ή Title: Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/pdf/2510.08994
β€’ PDF: https://arxiv.org/pdf/2510.08994

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πŸ€–πŸ§  Quivr AI: Building Your Second Brain with Open-Source Generative Intelligence

πŸ—“οΈ 12 Oct 2025
πŸ“š AI News & Trends

In the rapidly evolving landscape of artificial intelligence, developers and businesses are seeking solutions that merge flexibility, power, and simplicity. Enter Quivr β€” an open-source framework designed to help you build your own β€œsecond brain” powered by Generative AI. Whether you’re an indie developer, startup founder or enterprise engineer, it makes it possible to integrate ...

#QuivrAI #SecondBrain #GenerativeAI #OpenSourceAI #AIFramework #AIProductivity
πŸ”Ή Title: ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.07896
β€’ PDF: https://arxiv.org/pdf/2510.07896

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πŸ”Ή Title: DISCO: Diversifying Sample Condensation for Efficient Model Evaluation

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.07959
β€’ PDF: https://arxiv.org/pdf/2510.07959
β€’ Github: https://github.com/arubique/disco-public

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πŸ”Ή Title: D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

πŸ”Ή Publication Date: Published on Oct 7

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.05684
β€’ PDF: https://arxiv.org/pdf/2510.05684
β€’ Project Page: https://worv-ai.github.io/d2e/
β€’ Github: https://worv-ai.github.io/d2e/

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πŸ”Ή Title: One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework

πŸ”Ή Publication Date: Published on Oct 3

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.02898
β€’ PDF: https://arxiv.org/pdf/2510.02898
β€’ Project Page: https://paciosoft.com/Patch-ioner/
β€’ Github: https://github.com/Ruggero1912/Patch-ioner

πŸ”Ή Datasets citing this paper:
β€’ https://huggingface.co/datasets/Ruggero1912/Trace_Captioning_COCO
β€’ https://huggingface.co/datasets/Ruggero1912/Trace_Captioning_Flickr30K

πŸ”Ή Spaces citing this paper:
β€’ https://huggingface.co/spaces/Ruggero1912/Patch-ioner
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πŸ”Ή Title: Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.08492
β€’ PDF: https://arxiv.org/pdf/2510.08492
β€’ Project Page: https://unpaired-multimodal.github.io/
β€’ Github: https://github.com/Sharut/Unpaired-Multimodal-Learning/

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πŸ”Ή Title: Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization

πŸ”Ή Publication Date: Published on Oct 6

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.06274
β€’ PDF: https://arxiv.org/pdf/2510.06274

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πŸ”Ή Title: Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.09462
β€’ PDF: https://arxiv.org/pdf/2510.09462

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Title: KORMo: Korean Open Reasoning Model for Everyone

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.09426
β€’ PDF: https://arxiv.org/pdf/2510.09426

πŸ”Ή Datasets citing this paper:
β€’ https://huggingface.co/datasets/KORMo-Team/IF-bilingual-sft
β€’ https://huggingface.co/datasets/KORMo-Team/Cosmopedia-ko-synth
β€’ https://huggingface.co/datasets/KORMo-Team/UltraFineWeb-ko-synth
β€’ https://huggingface.co/datasets/KORMo-Team/OpenCodeReasoning-ko-synth

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πŸ”Ή Title: Which Heads Matter for Reasoning? RL-Guided KV Cache Compression

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.08525
β€’ PDF: https://arxiv.org/pdf/2510.08525

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πŸ”Ή Title: Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/pdf/2510.09320%5D
β€’ PDF: https://arxiv.org/pdf/2510.09320
β€’ Github: https://github.com/Zhangwenyao1/Hybrid-depth%5D

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πŸ”Ή Title: Formalizing Style in Personal Narratives

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.08649
β€’ PDF: https://arxiv.org/pdf/2510.08649

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πŸ”Ή Title: LLM4Cell: A Survey of Large Language and Agentic Models for Single-Cell Biology

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.07793
β€’ PDF: https://arxiv.org/pdf/2510.07793

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Title: ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL

πŸ”Ή Publication Date: Published on Oct 8

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.07151
β€’ PDF: https://arxiv.org/pdf/2510.07151
β€’ Project Page: https://elmur-paper.github.io/
β€’ Github: https://github.com/CognitiveAISystems/RATE

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πŸ”Ή Title: LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.07962
β€’ PDF: https://arxiv.org/pdf/2510.07962

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Title: MONKEY: Masking ON KEY-Value Activation Adapter for Personalization

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.07656
β€’ PDF: https://arxiv.org/pdf/2510.07656

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