🔹 Title: Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05251
• PDF: https://arxiv.org/pdf/2510.05251
• Project Page: https://yangalan123.github.io/ead_rlvr/
• Github: https://github.com/yangalan123/EAD-RLVR/tree/annealed_sampling/recipe/ead

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🔹 Title: ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04514
• PDF: https://arxiv.org/pdf/2510.04514

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🔹 Title: Scalable In-context Ranking with Generative Models

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05396
• PDF: https://arxiv.org/pdf/2510.05396

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🔹 Title: MEMTRACK: Evaluating Long-Term Memory and State Tracking in Multi-Platform Dynamic Agent Environments

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01353
• PDF: https://arxiv.org/pdf/2510.01353

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🔹 Title: SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06596
• PDF: https://arxiv.org/pdf/2510.06596
• Github: https://github.com/ayushzenith/SDQM

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🔹 Title: BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06528
• PDF: https://arxiv.org/pdf/2510.06528

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Itsuki-music/BACHI_Chord_Recognition

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🔹 Title: DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06199
• PDF: https://arxiv.org/pdf/2510.06199
• Github: https://chengyzhao.github.io/DYMOHair-web/

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🔹 Title: Multi-Agent Tool-Integrated Policy Optimization

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04678
• PDF: https://arxiv.org/pdf/2510.04678
• Github: https://github.com/mzf666/MATPO

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/veggiebird/MATPO-data
• https://huggingface.co/datasets/veggiebird/MATPO-rollout

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🔹 Title: Vibe Checker: Aligning Code Evaluation with Human Preference

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07315
• PDF: https://arxiv.org/pdf/2510.07315

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🔹 Title: Artificial Hippocampus Networks for Efficient Long-Context Modeling

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07318
• PDF: https://arxiv.org/pdf/2510.07318
• Github: https://github.com/ByteDance-Seed/AHN

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🔹 Title: Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06308
• PDF: https://arxiv.org/pdf/2510.06308
• Project Page: https://synbol.github.io/Lumina-DiMOO/
• Github: https://github.com/Alpha-VLLM/Lumina-DiMOO

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🔹 Title: Cache-to-Cache: Direct Semantic Communication Between Large Language Models

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03215
• PDF: https://arxiv.org/pdf/2510.03215
• Project Page: https://fuvty.github.io/C2C_Project_Page/
• Github: https://github.com/thu-nics/C2C

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🔹 Title: OBS-Diff: Accurate Pruning For Diffusion Models in One-Shot

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06751
• PDF: https://arxiv.org/pdf/2510.06751
• Project Page: https://alrightlone.github.io/OBS-Diff-Webpage/
• Github: https://github.com/Alrightlone/OBS-Diff

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🔹 Title: Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04212
• PDF: https://arxiv.org/pdf/2510.04212
• Github: https://github.com/ucker/why-low-precision-training-fails

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🔹 Title: WristWorld: Generating Wrist-Views via 4D World Models for Robotic Manipulation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07313
• PDF: https://arxiv.org/pdf/2510.07313
• Project Page: https://huggingface.co/papers?q=Spatial%20Projection%20Consistency%20(SPC)%20Loss

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🔹 Title: Revisiting Long-context Modeling from Context Denoising Perspective

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05862
• PDF: https://arxiv.org/pdf/2510.05862
• Github: https://github.com/LCM-Lab/context-denoising-training

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🔹 Title: Bridging Text and Video Generation: A Survey

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04999
• PDF: https://arxiv.org/pdf/2510.04999

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🔹 Title: MATRIX: Mask Track Alignment for Interaction-aware Video Generation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07310
• PDF: https://arxiv.org/pdf/2510.07310
• Project Page: https://cvlab-kaist.github.io/MATRIX/
• Github: https://github.com/cvlab-kaist/MATRIX

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🔹 Title: MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07307
• PDF: https://arxiv.org/pdf/2510.07307

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🔹 Title: U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07041
• PDF: https://arxiv.org/pdf/2510.07041
• Project Page: https://fenghetan9.github.io/ubench/
• Github: https://github.com/FengheTan9/U-Bench

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🔹 Title: TTRV: Test-Time Reinforcement Learning for Vision Language Models

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06783
• PDF: https://arxiv.org/pdf/2510.06783
• Project Page: https://akshit21112002.github.io/ttrvproject/
• Github: https://github.com/Akshit21112002/TTRV

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