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: VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21323
• PDF: https://arxiv.org/pdf/2510.21323
• Github: https://github.com/ssfgunner/VL-SAE

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🔹 Title: Tongyi DeepResearch Technical Report

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24701
• PDF: https://arxiv.org/pdf/2510.24701
• Project Page: https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/
• Github: https://github.com/Alibaba-NLP/DeepResearch

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🔹 Title: ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24591
• PDF: https://arxiv.org/pdf/2510.24591

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🔹 Title: OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24563
• PDF: https://arxiv.org/pdf/2510.24563
• Project Page: https://osworld-mcp.github.io/

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🔹 Title: RoboOmni: Proactive Robot Manipulation in Omni-modal Context

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23763
• PDF: https://arxiv.org/pdf/2510.23763
• Project Page: https://OpenMOSS.github.io/RoboOmni
• Github: https://github.com/OpenMOSS/RoboOmni

🔹 Datasets citing this paper:
https://huggingface.co/datasets/fnlp/OmniAction
https://huggingface.co/datasets/fnlp/OmniAction-LIBERO

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🔹 Title: Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24320
• PDF: https://arxiv.org/pdf/2510.24320
• Github: https://github.com/WooooDyy/Critique-RL

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🔹 Title: Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24514
• PDF: https://arxiv.org/pdf/2510.24514
• Project Page: https://latent-sketchpad.github.io/
• Github: https://github.com/hwanyu112/Latent-Sketchpad

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🔹 Title: Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24711
• PDF: https://arxiv.org/pdf/2510.24711

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🔹 Title: ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24698
• PDF: https://arxiv.org/pdf/2510.24698
• Github: https://github.com/Alibaba-NLP/DeepResearch

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🔹 Title: AgentFold: Long-Horizon Web Agents with Proactive Context Management

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24699
• PDF: https://arxiv.org/pdf/2510.24699
• Github: https://github.com/Alibaba-NLP/DeepResearch

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🔹 Title: WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24697
• PDF: https://arxiv.org/pdf/2510.24697
• Github: https://github.com/Alibaba-NLP/DeepResearch

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🔹 Title: AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24695
• PDF: https://arxiv.org/pdf/2510.24695
• Github: https://github.com/Alibaba-NLP/DeepResearch

🔹 Datasets citing this paper:
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🔹 Title: Repurposing Synthetic Data for Fine-grained Search Agent Supervision

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24694
• PDF: https://arxiv.org/pdf/2510.24694
• Github: https://github.com/Alibaba-NLP/DeepResearch

🔹 Datasets citing this paper:
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🔹 Title: FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24645
• PDF: https://arxiv.org/pdf/2510.24645

🔹 Datasets citing this paper:
https://huggingface.co/datasets/Bingguang/FunReason-MT

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🔹 Title: Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents

🔹 Publication Date: Published on Oct 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23691
• PDF: https://arxiv.org/pdf/2510.23691
• Project Page: https://seed-tars.com/game-tars

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🔹 Title: Generalization or Memorization: Dynamic Decoding for Mode Steering

🔹 Publication Date: Published on Oct 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.22099
• PDF: https://arxiv.org/pdf/2510.22099

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🔹 Title: Rethinking Visual Intelligence: Insights from Video Pretraining

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24448
• PDF: https://arxiv.org/pdf/2510.24448

🔹 Datasets citing this paper:
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🔹 Title: InteractComp: Evaluating Search Agents With Ambiguous Queries

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24668
• PDF: https://arxiv.org/pdf/2510.24668

🔹 Datasets citing this paper:
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🔹 Title: Group Relative Attention Guidance for Image Editing

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24657
• PDF: https://arxiv.org/pdf/2510.24657
• Project Page: https://little-misfit.github.io/GRAG-Image-Editing/
• Github: https://github.com/little-misfit/GRAG-Image-Editing

🔹 Datasets citing this paper:
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🔹 Title: VisCoder2: Building Multi-Language Visualization Coding Agents

🔹 Publication Date: Published on Oct 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.23642
• PDF: https://arxiv.org/pdf/2510.23642
• Project Page: https://tiger-ai-lab.github.io/VisCoder2/
• Github: https://github.com/TIGER-AI-Lab/VisCoder2

🔹 Datasets citing this paper:
https://huggingface.co/datasets/TIGER-Lab/VisPlotBench
https://huggingface.co/datasets/TIGER-Lab/VisCode-Multi-679K

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🔹 Title: STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence

🔹 Publication Date: Published on Oct 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.24693
• PDF: https://arxiv.org/pdf/2510.24693
• Project Page: https://internlm.github.io/StarBench/
• Github: https://github.com/InternLM/StarBench

🔹 Datasets citing this paper:
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