🔹 Title: OceanGym: A Benchmark Environment for Underwater Embodied Agents
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26536
• PDF: https://arxiv.org/pdf/2509.26536
• Project Page: https://oceangpt.github.io/OceanGym/
• Github: https://github.com/OceanGPT/OceanGym
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26536
• PDF: https://arxiv.org/pdf/2509.26536
• Project Page: https://oceangpt.github.io/OceanGym/
• Github: https://github.com/OceanGPT/OceanGym
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🔹 Title: DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25182
• PDF: https://arxiv.org/pdf/2509.25182
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25182
• PDF: https://arxiv.org/pdf/2509.25182
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🔹 Title: Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26625
• PDF: https://arxiv.org/pdf/2509.26625
• Project Page: https://junlinhan.github.io/projects/lsbs/
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26625
• PDF: https://arxiv.org/pdf/2509.26625
• Project Page: https://junlinhan.github.io/projects/lsbs/
🔹 Datasets citing this paper:
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🔹 Title: Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25758
• PDF: https://arxiv.org/pdf/2509.25758
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25758
• PDF: https://arxiv.org/pdf/2509.25758
🔹 Datasets citing this paper:
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🔹 Title: Who's Your Judge? On the Detectability of LLM-Generated Judgments
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25154
• PDF: https://arxiv.org/pdf/2509.25154
• Github: https://llm-as-a-judge.github.io/
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25154
• PDF: https://arxiv.org/pdf/2509.25154
• Github: https://llm-as-a-judge.github.io/
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🔹 Title: MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2509.24002
• PDF: https://arxiv.org/pdf/2509.24002
• Project Page: https://mcpmark.ai/
• Github: https://github.com/eval-sys/mcpmark
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🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2509.24002
• PDF: https://arxiv.org/pdf/2509.24002
• Project Page: https://mcpmark.ai/
• Github: https://github.com/eval-sys/mcpmark
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🔹 Title: VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26490
• PDF: https://arxiv.org/pdf/2509.26490
• Project Page: https://vitabench.github.io/
• Github: https://vitabench.github.io/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/meituan/VitaBench
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26490
• PDF: https://arxiv.org/pdf/2509.26490
• Project Page: https://vitabench.github.io/
• Github: https://vitabench.github.io/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/meituan/VitaBench
🔹 Spaces citing this paper:
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🔹 Title: dParallel: Learnable Parallel Decoding for dLLMs
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2509.26488
• PDF: https://arxiv.org/pdf/2509.26488
• Github: https://github.com/czg1225/dParallel
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Zigeng/dParallel_LLaDA_Distill_Data
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2509.26488
• PDF: https://arxiv.org/pdf/2509.26488
• Github: https://github.com/czg1225/dParallel
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Zigeng/dParallel_LLaDA_Distill_Data
🔹 Spaces citing this paper:
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🔹 Title: IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26231
• PDF: https://arxiv.org/pdf/2509.26231
• Github: https://github.com/SHI-Labs/IMG-Multimodal-Diffusion-Alignment
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26231
• PDF: https://arxiv.org/pdf/2509.26231
• Github: https://github.com/SHI-Labs/IMG-Multimodal-Diffusion-Alignment
🔹 Datasets citing this paper:
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🔹 Title: Efficient Audio-Visual Speech Separation with Discrete Lip Semantics and Multi-Scale Global-Local Attention
🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23610
• PDF: https://arxiv.org/pdf/2509.23610
• Project Page: https://cslikai.cn/Dolphin
• Github: https://github.com/JusperLee/Dolphin
🔹 Datasets citing this paper:
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🔹 Spaces citing this paper:
• https://huggingface.co/spaces/JusperLee/Dolphin
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🔹 Publication Date: Published on Sep 28
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.23610
• PDF: https://arxiv.org/pdf/2509.23610
• Project Page: https://cslikai.cn/Dolphin
• Github: https://github.com/JusperLee/Dolphin
🔹 Datasets citing this paper:
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🔹 Spaces citing this paper:
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🔹 Title: MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26391
• PDF: https://arxiv.org/pdf/2509.26391
• Github: https://github.com/MCG-NJU/MotionRAG
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26391
• PDF: https://arxiv.org/pdf/2509.26391
• Github: https://github.com/MCG-NJU/MotionRAG
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🔹 Title: Mem-α: Learning Memory Construction via Reinforcement Learning
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25911
• PDF: https://arxiv.org/pdf/2509.25911
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25911
• PDF: https://arxiv.org/pdf/2509.25911
🔹 Datasets citing this paper:
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🔹 Title: Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22646
• PDF: https://arxiv.org/pdf/2509.22646
• Project Page: https://deeptracereward.github.io/
• Github: https://deeptracereward.github.io/
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22646
• PDF: https://arxiv.org/pdf/2509.22646
• Project Page: https://deeptracereward.github.io/
• Github: https://deeptracereward.github.io/
🔹 Datasets citing this paper:
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🔹 Title: Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26628
• PDF: https://arxiv.org/pdf/2509.26628
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26628
• PDF: https://arxiv.org/pdf/2509.26628
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🔹 Title: OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26495
• PDF: https://arxiv.org/pdf/2509.26495
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/declare-lab/OffTopicEval
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26495
• PDF: https://arxiv.org/pdf/2509.26495
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/declare-lab/OffTopicEval
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🔹 Title: Humanline: Online Alignment as Perceptual Loss
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24207
• PDF: https://arxiv.org/pdf/2509.24207
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.24207
• PDF: https://arxiv.org/pdf/2509.24207
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🔹 Title: Regression Language Models for Code
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26476
• PDF: https://arxiv.org/pdf/2509.26476
• Github: https://github.com/google-deepmind/regress-lm
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.26476
• PDF: https://arxiv.org/pdf/2509.26476
• Github: https://github.com/google-deepmind/regress-lm
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🔹 Title: More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models
🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25848
• PDF: https://arxiv.org/pdf/2509.25848
• Project Page: https://xytian1008.github.io/VAPO/
• Github: https://github.com/xytian1008/VAPO
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🔹 Publication Date: Published on Sep 30
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25848
• PDF: https://arxiv.org/pdf/2509.25848
• Project Page: https://xytian1008.github.io/VAPO/
• Github: https://github.com/xytian1008/VAPO
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🔹 Title: InfoAgent: Advancing Autonomous Information-Seeking Agents
🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25189
• PDF: https://arxiv.org/pdf/2509.25189
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🔹 Publication Date: Published on Sep 29
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.25189
• PDF: https://arxiv.org/pdf/2509.25189
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🔹 Title: Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22613
• PDF: https://arxiv.org/pdf/2509.22613
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22613
• PDF: https://arxiv.org/pdf/2509.22613
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