Data Science | Machine Learning with Python for Researchers
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🔹 Title: ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims

🔹 Publication Date: Published on Sep 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.11492
• PDF: https://arxiv.org/pdf/2509.11492

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🔹 Title: FuseCodec: Semantic-Contextual Fusion and Supervision for Neural Codecs

🔹 Publication Date: Published on Sep 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.11425
• PDF: https://arxiv.org/pdf/2509.11425

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🔹 Title: ToolRM: Outcome Reward Models for Tool-Calling Large Language Models

🔹 Publication Date: Published on Sep 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.11963
• PDF: https://arxiv.org/pdf/2509.11963

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🔹 Title: Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis

🔹 Publication Date: Published on Sep 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.11526
• PDF: https://arxiv.org/pdf/2509.11526
• Github: https://github.com/DearCaat/MHIM-MIL

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🔹 Title: Single-stream Policy Optimization

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13232
• PDF: https://arxiv.org/pdf/2509.13232

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🔹 Title: Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.12815
• PDF: https://arxiv.org/pdf/2509.12815

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🔹 Title: Multimodal Reasoning for Science: Technical Report and 1st Place Solution to the ICML 2025 SeePhys Challenge

🔹 Publication Date: Published on Sep 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06079
• PDF: https://arxiv.org/pdf/2509.06079

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🔹 Title: 3D Aware Region Prompted Vision Language Model

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13317
• PDF: https://arxiv.org/pdf/2509.13317
• Project Page: https://www.anjiecheng.me/sr3d

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🔹 Title: WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13312
• PDF: https://arxiv.org/pdf/2509.13312
• Project Page: https://tongyi-agent.github.io/blog/
• Github: https://github.com/Alibaba-NLP/DeepResearch

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🔹 Title: Towards General Agentic Intelligence via Environment Scaling

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13311
• PDF: https://arxiv.org/pdf/2509.13311
• Github: https://tongyi-agent.github.io/blog/

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🔹 Title: WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13309
• PDF: https://arxiv.org/pdf/2509.13309
• Github: https://tongyi-agent.github.io/blog/

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🔹 Title: Exact Coset Sampling for Quantum Lattice Algorithms

🔹 Publication Date: Published on Sep 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.12341
• PDF: https://arxiv.org/pdf/2509.12341

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🔹 Title: EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.12603
• PDF: https://arxiv.org/pdf/2509.12603

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🔹 Title: WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13305
• PDF: https://arxiv.org/pdf/2509.13305

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🔹 Title: Scaling Agents via Continual Pre-training

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13310
• PDF: https://arxiv.org/pdf/2509.13310

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🔹 Title: ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13313
• PDF: https://arxiv.org/pdf/2509.13313

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🔹 Title: Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs

🔹 Publication Date: Published on Sep 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.11177
• PDF: https://arxiv.org/pdf/2509.11177
• Github: https://huggingface.co/collections/HangGuo/optimal-brain-resotration-689863c8687d3aeed27f9a96

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🔹 Title: Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time

🔹 Publication Date: Published on Sep 15

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.12521
• PDF: https://arxiv.org/pdf/2509.12521
• Github: https://github.com/Yifan-Lan/Phi

🔹 Datasets citing this paper:
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🔹 Title: zELO: ELO-inspired Training Method for Rerankers and Embedding Models

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.12541
• PDF: https://arxiv.org/pdf/2509.12541

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🔹 Title: Struct-Bench: A Benchmark for Differentially Private Structured Text Generation

🔹 Publication Date: Published on Sep 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10696
• PDF: https://arxiv.org/pdf/2509.10696
• Github: https://github.com/struct-bench/structpe

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