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: Blueprints of Trust: AI System Cards for End to End Transparency and Governance

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20394
• PDF: https://arxiv.org/pdf/2509.20394
• Github: https://github.com/RedHatProductSecurity/ai-system-card

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🔹 Title: Residual Off-Policy RL for Finetuning Behavior Cloning Policies

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19301
• PDF: https://arxiv.org/pdf/2509.19301
• Project Page: https://residual-offpolicy-rl.github.io/

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🔹 Title: MI-Fuse: Label Fusion for Unsupervised Domain Adaptation with Closed-Source Large-Audio Language Model

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20706
• PDF: https://arxiv.org/pdf/2509.20706

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🔹 Title: Quantized Visual Geometry Grounded Transformer

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21302
• PDF: https://arxiv.org/pdf/2509.21302
• Github: https://github.com/wlfeng0509/QuantVGGT

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🔹 Title: AutoIntent: AutoML for Text Classification

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21138
• PDF: https://arxiv.org/pdf/2509.21138
• Project Page: https://deeppavlov.github.io/AutoIntent/versions/dev/index.html
• Github: https://github.com/deeppavlov/autointent/

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🔹 Title: Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21072
• PDF: https://arxiv.org/pdf/2509.21072
• Github: https://github.com/inclusionAI/AWorld/tree/main/examples/visualwebarena

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🔹 Title: BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback

🔹 Publication Date: Published on Sep 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21106
• PDF: https://arxiv.org/pdf/2509.21106
• Project Page: https://augustinlib.github.io/BESPOKE/
• Github: https://github.com/augustinLib/BESPOKE

🔹 Datasets citing this paper:
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🔹 Title: When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.20293
• PDF: https://arxiv.org/pdf/2509.20293

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🔹 Title: Thinking While Listening: Simple Test Time Scaling For Audio Classification

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19676
• PDF: https://arxiv.org/pdf/2509.19676

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🔹 Title: Evaluating Large Language Models for Detecting Antisemitism

🔹 Publication Date: Published on Sep 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.18293
• PDF: https://arxiv.org/pdf/2509.18293
• Github: https://github.com/idramalab/quantify-llm-explanations

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🔹 Title: UserRL: Training Interactive User-Centric Agent via Reinforcement Learning

🔹 Publication Date: Published on Sep 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19736
• PDF: https://arxiv.org/pdf/2509.19736
• Github: https://github.com/SalesforceAIResearch/UserRL

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🔹 Title: CompLLM: Compression for Long Context Q&A

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19228
• PDF: https://arxiv.org/pdf/2509.19228

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🔹 Title: OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps

🔹 Publication Date: Published on Sep 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19282
• PDF: https://arxiv.org/pdf/2509.19282

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🔹 Title: UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21760
• PDF: https://arxiv.org/pdf/2509.21760

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🔹 Title: EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22576
• PDF: https://arxiv.org/pdf/2509.22576

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🔹 Title: LongLive: Real-time Interactive Long Video Generation

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22622
• PDF: https://arxiv.org/pdf/2509.22622
• Github: https://nvlabs.github.io/LongLive

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🔹 Title: Variational Reasoning for Language Models

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22637
• PDF: https://arxiv.org/pdf/2509.22637

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🔹 Title: Language Models Can Learn from Verbal Feedback Without Scalar Rewards

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22638
• PDF: https://arxiv.org/pdf/2509.22638

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🔹 Title: Quantile Advantage Estimation for Entropy-Safe Reasoning

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22611
• PDF: https://arxiv.org/pdf/2509.22611
• Github: https://github.com/junkangwu/QAE

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🔹 Title: VoiceAssistant-Eval: Benchmarking AI Assistants across Listening, Speaking, and Viewing

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22651
• PDF: https://arxiv.org/pdf/2509.22651
• Project Page: https://mathllm.github.io/VoiceAssistantEval/
• Github: https://github.com/mathllm/VoiceAssistant-Eval

🔹 Datasets citing this paper:
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🔹 Title: CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning

🔹 Publication Date: Published on Sep 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22647
• PDF: https://arxiv.org/pdf/2509.22647
• Github: https://github.com/InternLM/CapRL

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