ML Research Hub – Telegram
ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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🔹 Title: EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence

🔹 Publication Date: Published on Sep 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14977
• PDF: https://arxiv.org/pdf/2509.14977
• Github: https://github.com/Asunatan/EchoVLM

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🔹 Title: Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs

🔹 Publication Date: Published on Sep 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15020
• PDF: https://arxiv.org/pdf/2509.15020

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🔹 Title: RecoWorld: Building Simulated Environments for Agentic Recommender Systems

🔹 Publication Date: Published on Sep 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10397
• PDF: https://arxiv.org/pdf/2509.10397

🔹 Datasets citing this paper:
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🔹 Title: Agentic Software Engineering: Foundational Pillars and a Research Roadmap

🔹 Publication Date: Published on Sep 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06216
• PDF: https://arxiv.org/pdf/2509.06216

🔹 Datasets citing this paper:
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🔹 Title: Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

🔹 Publication Date: Published on Sep 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10402
• PDF: https://arxiv.org/pdf/2509.10402

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Suzhen/CodeChat

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🔹 Title: Apertus: Democratizing Open and Compliant LLMs for Global Language Environments

🔹 Publication Date: Published on Sep 17

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.14233
• PDF: https://arxiv.org/pdf/2509.14233
• Project Page: https://www.swiss-ai.org/apertus
• Github: https://github.com/swiss-ai/apertus-tech-report

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🔹 Title: Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization

🔹 Publication Date: Published on Sep 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.09307
• PDF: https://arxiv.org/pdf/2509.09307

🔹 Datasets citing this paper:
https://huggingface.co/datasets/FreedomIntelligence/MatCha

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🔹 Title: EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing

🔹 Publication Date: Published on Sep 16

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13399
• PDF: https://arxiv.org/pdf/2509.13399
• Github: https://tianyucodings.github.io/EdiVAL-page/

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🔹 Title: MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

🔹 Publication Date: Published on Sep 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16197
• PDF: https://arxiv.org/pdf/2509.16197

🔹 Datasets citing this paper:
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🔹 Title: RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes

🔹 Publication Date: Published on Sep 18

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15123
• PDF: https://arxiv.org/pdf/2509.15123

🔹 Datasets citing this paper:
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🔹 Title: BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent

🔹 Publication Date: Published on Sep 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15566
• PDF: https://arxiv.org/pdf/2509.15566

🔹 Datasets citing this paper:
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🔹 Title: RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

🔹 Publication Date: Published on Sep 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16198
• PDF: https://arxiv.org/pdf/2509.16198

🔹 Datasets citing this paper:
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🔹 Title: BaseReward: A Strong Baseline for Multimodal Reward Model

🔹 Publication Date: Published on Sep 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.16127
• PDF: https://arxiv.org/pdf/2509.16127

🔹 Datasets citing this paper:
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🔹 Title: Lynx: Towards High-Fidelity Personalized Video Generation

🔹 Publication Date: Published on Sep 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15496
• PDF: https://arxiv.org/pdf/2509.15496
• Project Page: https://byteaigc.github.io/Lynx/

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🔹 Title: WhisTLE: Deeply Supervised, Text-Only Domain Adaptation for Pretrained Speech Recognition Transformers

🔹 Publication Date: Published on Sep 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.10452
• PDF: https://arxiv.org/pdf/2509.10452

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🔹 Title: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

🔹 Publication Date: Published on Sep 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.15937
• PDF: https://arxiv.org/pdf/2509.15937
• Project Page: https://vlac.intern-ai.org.cn/
• Github: https://github.com/InternRobotics/VLAC

🔹 Datasets citing this paper:
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