🔹 Title: EpiCache: Episodic KV Cache Management for Long Conversational Question Answering
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17396
• PDF: https://arxiv.org/pdf/2509.17396
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17396
• PDF: https://arxiv.org/pdf/2509.17396
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🔹 Title: Synthetic bootstrapped pretraining
🔹 Publication Date: Published on Sep 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15248
• PDF: https://arxiv.org/pdf/2509.15248
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🔹 Publication Date: Published on Sep 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15248
• PDF: https://arxiv.org/pdf/2509.15248
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🔹 Title: OmniInsert: Mask-Free Video Insertion of Any Reference via Diffusion Transformer Models
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17627
• PDF: https://arxiv.org/pdf/2509.17627
• Github: https://github.com/Phantom-video/OmniInsert
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17627
• PDF: https://arxiv.org/pdf/2509.17627
• Github: https://github.com/Phantom-video/OmniInsert
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🔹 Title: SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?
🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16941
• PDF: https://arxiv.org/pdf/2509.16941
• Project Page: https://scale.com/research/swe_bench_pro
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🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16941
• PDF: https://arxiv.org/pdf/2509.16941
• Project Page: https://scale.com/research/swe_bench_pro
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🔹 Title: Mano Report
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17336
• PDF: https://arxiv.org/pdf/2509.17336
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17336
• PDF: https://arxiv.org/pdf/2509.17336
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🔹 Title: ARE: Scaling Up Agent Environments and Evaluations
🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17158
• PDF: https://arxiv.org/pdf/2509.17158
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🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17158
• PDF: https://arxiv.org/pdf/2509.17158
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🔹 Title: From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem
🔹 Publication Date: Published on Sep 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.09873
• PDF: https://arxiv.org/pdf/2509.09873
• Project Page: https://huggingface.co/papers?q=GitHub%20projects
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🔹 Publication Date: Published on Sep 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.09873
• PDF: https://arxiv.org/pdf/2509.09873
• Project Page: https://huggingface.co/papers?q=GitHub%20projects
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❤1
Forwarded from Data Science Machine Learning Data Analysis
📌 Paper Walkthrough: Attention Is All You Need
🗂 Category: DEEP LEARNING
🕒 Date: 2024-11-03 | ⏱️ Read time: 46 min read
The complete guide to implementing a Transformer from scratch
🗂 Category: DEEP LEARNING
🕒 Date: 2024-11-03 | ⏱️ Read time: 46 min read
The complete guide to implementing a Transformer from scratch
❤1
🔹 Title: LIMI: Less is More for Agency
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17567
• PDF: https://arxiv.org/pdf/2509.17567
• Project Page: https://github.com/GAIR-NLP/LIMI
• Github: https://github.com/GAIR-NLP/LIMI
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/GAIR/LIMI
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17567
• PDF: https://arxiv.org/pdf/2509.17567
• Project Page: https://github.com/GAIR-NLP/LIMI
• Github: https://github.com/GAIR-NLP/LIMI
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/GAIR/LIMI
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🔹 Title: StereoAdapter: Adapting Stereo Depth Estimation to Underwater Scenes
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16415
• PDF: https://arxiv.org/pdf/2509.16415
• Project Page: https://aigeeksgroup.github.io/StereoAdapter/
• Github: https://github.com/AIGeeksGroup/StereoAdapter
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🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16415
• PDF: https://arxiv.org/pdf/2509.16415
• Project Page: https://aigeeksgroup.github.io/StereoAdapter/
• Github: https://github.com/AIGeeksGroup/StereoAdapter
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🔹 Title: Understanding Embedding Scaling in Collaborative Filtering
🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15709
• PDF: https://arxiv.org/pdf/2509.15709
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🔹 Publication Date: Published on Sep 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15709
• PDF: https://arxiv.org/pdf/2509.15709
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❤1
🔹 Title: AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing?
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17641
• PDF: https://arxiv.org/pdf/2509.17641
• Github: https://auditorybenchpp.github.io/
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17641
• PDF: https://arxiv.org/pdf/2509.17641
• Github: https://auditorybenchpp.github.io/
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🔹 Title: When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs
🔹 Publication Date: Published on Sep 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16633
• PDF: https://arxiv.org/pdf/2509.16633
• Github: https://github.com/vl2g/MPA
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🔹 Publication Date: Published on Sep 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16633
• PDF: https://arxiv.org/pdf/2509.16633
• Github: https://github.com/vl2g/MPA
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🔹 Title: From Uniform to Heterogeneous: Tailoring Policy Optimization to Every Token's Nature
🔹 Publication Date: Published on Sep 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16591
• PDF: https://arxiv.org/pdf/2509.16591
• Github: https://github.com/starriver030515/HAPO
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🔹 Publication Date: Published on Sep 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16591
• PDF: https://arxiv.org/pdf/2509.16591
• Github: https://github.com/starriver030515/HAPO
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🔹 Title: MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18095
• PDF: https://arxiv.org/pdf/2509.18095
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18095
• PDF: https://arxiv.org/pdf/2509.18095
🔹 Datasets citing this paper:
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🔹 Title: GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17437
• PDF: https://arxiv.org/pdf/2509.17437
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17437
• PDF: https://arxiv.org/pdf/2509.17437
🔹 Datasets citing this paper:
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🔹 Title: VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17191
• PDF: https://arxiv.org/pdf/2509.17191
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🔹 Publication Date: Published on Sep 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17191
• PDF: https://arxiv.org/pdf/2509.17191
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🔹 Title: TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18056
• PDF: https://arxiv.org/pdf/2509.18056
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18056
• PDF: https://arxiv.org/pdf/2509.18056
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🔹 Title: Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17671
• PDF: https://arxiv.org/pdf/2509.17671
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/newmindai/RAGTruth-TR
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🔹 Publication Date: Published on Sep 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17671
• PDF: https://arxiv.org/pdf/2509.17671
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/newmindai/RAGTruth-TR
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🔹 Title: CodeFuse-CR-Bench: A Comprehensiveness-aware Benchmark for End-to-End Code Review Evaluation in Python Projects
🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14856
• PDF: https://arxiv.org/pdf/2509.14856
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🔹 Publication Date: Published on Sep 18
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14856
• PDF: https://arxiv.org/pdf/2509.14856
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