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: CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversation

🔹 Publication Date: Published on Sep 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05122
• PDF: https://arxiv.org/pdf/2510.05122
• Project Page: https://github.com/aliyun/qwen-dianjin

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🚀 Release day: Qwen launched Qwen3-Omni — the first native end-to-end *omni-modal AI*

The model processes text, images, audio, and video in a single model.

On benchmarks, it looks like all modalities work with equal quality.

⚡️ Features
- First place in 22 out of 36 audio and multimodal benchmarks
- Support for 119 text languages,
- Minimal latency — 211 ms
- Audio processing up to 30 minutes long
- Allows flexible customization via system prompts
- Built-in tool calling

🌟 Open-source releases
The company released three versions:
- Qwen3-Omni-30B-A3B-Instruct
- Qwen3-Omni-30B-A3B-Thinking
- Qwen3-Omni-30B-A3B-Captioner

👉 You can try it here:

💬 Chat: https://chat.qwen.ai/?models=qwen3-omni-flash

👨‍💻 GitHub: https://github.com/QwenLM/Qwen3-Omni

🤗 Hugging Face: https://huggingface.co/collections/Qwen/qwen3-omni-68d100a86cd0906843ceccbe

🤖 ModelScope: https://modelscope.cn/collections/Qwen3-Omni-867aef131e7d4f

🎬 Demo: https://huggingface.co/spaces/Qwen/Qwen3-Omni-Demo

#qwen #opensource #llm #ml
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🔹 Title: Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06036
• PDF: https://arxiv.org/pdf/2510.06036

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🔹 Title: Fathom-DeepResearch: Unlocking Long Horizon Information Retrieval and Synthesis for SLMs

🔹 Publication Date: Published on Sep 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24107
• PDF: https://arxiv.org/pdf/2509.24107

🔹 Datasets citing this paper:
https://huggingface.co/datasets/FractalAIResearch/DuetQA-Verified
https://huggingface.co/datasets/FractalAIResearch/DeepResearch-SFT

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🔹 Title: No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models

🔹 Publication Date: Published on Oct 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03978
• PDF: https://arxiv.org/pdf/2510.03978
• Github: https://github.com/minwoosun/open_clip_bmc

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🔹 Title: MixReasoning: Switching Modes to Think

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06052
• PDF: https://arxiv.org/pdf/2510.06052

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🔹 Title: Human3R: Everyone Everywhere All at Once

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06219
• PDF: https://arxiv.org/pdf/2510.06219
• Github: https://fanegg.github.io/Human3R/

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🔹 Title: Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06107
• PDF: https://arxiv.org/pdf/2510.06107

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🔹 Title: Revisiting Modeling and Evaluation Approaches in Speech Emotion Recognition: Considering Subjectivity of Annotators and Ambiguity of Emotions

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05934
• PDF: https://arxiv.org/pdf/2510.05934

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🔹 Title: HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.00880
• PDF: https://arxiv.org/pdf/2510.00880

🔹 Datasets citing this paper:
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🔹 Title: BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05318
• PDF: https://arxiv.org/pdf/2510.05318
• Project Page: https://bird-interact.github.io/
• Github: https://bird-interact.github.io/

🔹 Datasets citing this paper:
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🔹 Title: TensorBLEU: Vectorized GPU-based BLEU Score Implementation for Per-Sentence In-Training Evaluation

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05485
• PDF: https://arxiv.org/pdf/2510.05485

🔹 Datasets citing this paper:
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🔹 Title: Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models

🔹 Publication Date: Published on Oct 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02300
• PDF: https://arxiv.org/pdf/2510.02300
• Project Page: https://raywang4.github.io/equilibrium_matching/
• Github: https://github.com/raywang4/EqM

🔹 Datasets citing this paper:
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🔹 Title: OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows

🔹 Publication Date: Published on Oct 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.03506
• PDF: https://arxiv.org/pdf/2510.03506
• Project Page: https://johnlnguyen.com/oneflow/

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🔹 Title: Training Dynamics Impact Post-Training Quantization Robustness

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06213
• PDF: https://arxiv.org/pdf/2510.06213

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🔹 Title: CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding

🔹 Publication Date: Published on Sep 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23379
• PDF: https://arxiv.org/pdf/2509.23379
• Project Page: https://x-izhang.github.io/CCD/
• Github: https://x-izhang.github.io/CCD/

🔹 Datasets citing this paper:
https://huggingface.co/datasets/X-iZhang/MIMIC-CXR-RRG
https://huggingface.co/datasets/X-iZhang/IU-Xray-RRG
https://huggingface.co/datasets/X-iZhang/CheXpert-plus-RRG
https://huggingface.co/datasets/X-iZhang/Medical-CXR-VQA

🔹 Spaces citing this paper:
https://huggingface.co/spaces/X-iZhang/CCD
https://huggingface.co/spaces/X-iZhang/Libra
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🔹 Title: ShapeGen4D: Towards High Quality 4D Shape Generation from Videos

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06208
• PDF: https://arxiv.org/pdf/2510.06208
• Github: https://shapegen4d.github.io/

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🔹 Title: Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06071
• PDF: https://arxiv.org/pdf/2510.06071
• Github: https://github.com/feedzai/biy-paper

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🔹 Title: In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05592
• PDF: https://arxiv.org/pdf/2510.05592
• Project Page: https://agentflow.stanford.edu/
• Github: https://github.com/lupantech/AgentFlow

🔹 Datasets citing this paper:
No datasets found

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https://huggingface.co/spaces/AgentFlow/agentflow
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🔹 Title: Drax: Speech Recognition with Discrete Flow Matching

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04162
• PDF: https://arxiv.org/pdf/2510.04162

🔹 Datasets citing this paper:
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