Data Science | Machine Learning with Python for Researchers
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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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🔹 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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🔹 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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🔹 Title: SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning

🔹 Publication Date: Published on Sep 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16548
• PDF: https://arxiv.org/pdf/2509.16548

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🔹 Title: QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17428
• PDF: https://arxiv.org/pdf/2509.17428
• Github: https://github.com/vantaa89/qwha

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🔹 Title: Reasoning Core: A Scalable RL Environment for LLM Symbolic Reasoning

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18083
• PDF: https://arxiv.org/pdf/2509.18083
• Project Page: https://github.com/sileod/reasoning_core
• Github: https://github.com/sileod/reasoning_core

🔹 Datasets citing this paper:
https://huggingface.co/datasets/reasoning-core/rc1

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🔹 Title: FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions

🔹 Publication Date: Published on Sep 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17177
• PDF: https://arxiv.org/pdf/2509.17177

🔹 Datasets citing this paper:
https://huggingface.co/datasets/BAAI/ROME

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🔹 Title: DIWALI - Diversity and Inclusivity aWare cuLture specific Items for India: Dataset and Assessment of LLMs for Cultural Text Adaptation in Indian Context

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17399
• PDF: https://arxiv.org/pdf/2509.17399
• Project Page: https://nlip-lab.github.io/nlip/publications/diwali/
• Github: https://huggingface.co/papers/!https:/github.com/pramitsahoo/culture-evaluation

🔹 Datasets citing this paper:
https://huggingface.co/datasets/nlip/DIWALI

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1
🔹 Title: Cross-Attention is Half Explanation in Speech-to-Text Models

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18010
• PDF: https://arxiv.org/pdf/2509.18010
• Project Page: https://huggingface.co/collections/meetween/meetweens-research-papers-68d28369b32dbced7ff9e0df

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🔹 Title: UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18094
• PDF: https://arxiv.org/pdf/2509.18094
• Github: https://github.com/PolyU-ChenLab/UniPixel

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🔹 Title: Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLM

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18058
• PDF: https://arxiv.org/pdf/2509.18058

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🔹 Title: BeepBank-500: A Synthetic Earcon Mini-Corpus for UI Sound Research and Psychoacoustics Research

🔹 Publication Date: Published on Sep 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17277
• PDF: https://arxiv.org/pdf/2509.17277
• Project Page: https://doi.org/10.5281/zenodo.17172015
• Github: https://github.com/mandip42/earcons-mini-500%5D

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🔹 Title: V2V-GoT: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models and Graph-of-Thoughts

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18053
• PDF: https://arxiv.org/pdf/2509.18053

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🔹 Title: Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17998
• PDF: https://arxiv.org/pdf/2509.17998
• Github: https://github.com/richardcsuwandi/cake

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1
🔹 Title: Accurate and Efficient Low-Rank Model Merging in Core Space

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17786
• PDF: https://arxiv.org/pdf/2509.17786
• Github: https://github.com/apanariello4/core-space-merging

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🔹 Title: D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.17938
• PDF: https://arxiv.org/pdf/2509.17938

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🔹 Title: DEXOP: A Device for Robotic Transfer of Dexterous Human Manipulation

🔹 Publication Date: Published on Sep 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.04441
• PDF: https://arxiv.org/pdf/2509.04441

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🔹 Title: FocalCodec-Stream: Streaming Low-Bitrate Speech Coding via Causal Distillation

🔹 Publication Date: Published on Sep 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16195
• PDF: https://arxiv.org/pdf/2509.16195
• Github: https://github.com/lucadellalib/focalcodec

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🔹 Title: Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19296
• PDF: https://arxiv.org/pdf/2509.19296
• Project Page: https://research.nvidia.com/labs/toronto-ai/lyra/
• Github: https://github.com/nv-tlabs/lyra

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🔹 Title: Zero-Shot Multi-Spectral Learning: Reimagining a Generalist Multimodal Gemini 2.5 Model for Remote Sensing Applications

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19087
• PDF: https://arxiv.org/pdf/2509.19087

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