🔹 Title: Less is More: Recursive Reasoning with Tiny Networks
🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04871
• PDF: https://arxiv.org/pdf/2510.04871
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🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04871
• PDF: https://arxiv.org/pdf/2510.04871
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🔹 Title: Verifier-free Test-Time Sampling for Vision Language Action Models
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05681
• PDF: https://arxiv.org/pdf/2510.05681
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05681
• PDF: https://arxiv.org/pdf/2510.05681
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🔹 Title: Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05571
• PDF: https://arxiv.org/pdf/2510.05571
• Project Page: https://evopresent.github.io/#demo
• Github: https://evopresent.github.io/
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05571
• PDF: https://arxiv.org/pdf/2510.05571
• Project Page: https://evopresent.github.io/#demo
• Github: https://evopresent.github.io/
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🔹 Title: The Valley of Code Reasoning: Scaling Knowledge Distillation of Large Language Models
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06101
• PDF: https://arxiv.org/pdf/2510.06101
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/collinear-ai/valley-of-reasoning-data
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06101
• PDF: https://arxiv.org/pdf/2510.06101
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/collinear-ai/valley-of-reasoning-data
🔹 Spaces citing this paper:
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🔹 Title: On Code-Induced Reasoning in LLMs
🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21499
• PDF: https://arxiv.org/pdf/2509.21499
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🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21499
• PDF: https://arxiv.org/pdf/2509.21499
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🔹 Title: Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06056
• PDF: https://arxiv.org/pdf/2510.06056
• Github: https://github.com/liugangcode/deepevolve
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06056
• PDF: https://arxiv.org/pdf/2510.06056
• Github: https://github.com/liugangcode/deepevolve
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🔹 Title: Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06030
• PDF: https://arxiv.org/pdf/2510.06030
• Github: https://github.com/theochemUI/otgpd_repro
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06030
• PDF: https://arxiv.org/pdf/2510.06030
• Github: https://github.com/theochemUI/otgpd_repro
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🔹 Title: GRACE: Generative Representation Learning via Contrastive Policy Optimization
🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04506
• PDF: https://arxiv.org/pdf/2510.04506
• Github: https://github.com/GasolSun36/GRACE
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🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04506
• PDF: https://arxiv.org/pdf/2510.04506
• Github: https://github.com/GasolSun36/GRACE
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❤1
🔹 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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🔹 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
🔹 Datasets citing this paper:
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🔹 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
🔹 Datasets citing this paper:
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🔹 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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🔹 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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🔹 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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🔹 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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🔹 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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🔹 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
🔹 Datasets citing this paper:
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🔹 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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🔹 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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🔹 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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🔹 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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🔹 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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