🔹 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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🔹 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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🔹 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
🔹 Datasets citing this paper:
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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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🔹 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
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22638
• PDF: https://arxiv.org/pdf/2509.22638
🔹 Datasets citing this paper:
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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
🔹 Datasets citing this paper:
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🔹 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
🔹 Datasets citing this paper:
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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:
• https://huggingface.co/datasets/MathLLMs/VoiceAssistant-Eval
🔹 Spaces citing this paper:
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🔹 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:
• https://huggingface.co/datasets/MathLLMs/VoiceAssistant-Eval
🔹 Spaces 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
🔹 Datasets citing this paper:
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🔹 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
🔹 Datasets citing this paper:
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🔹 Title: MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22186
• PDF: https://arxiv.org/pdf/2509.22186
• Project Page: https://opendatalab.github.io/MinerU/
• Github: https://github.com/opendatalab/MinerU
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/opendatalab/MinerU
• https://huggingface.co/spaces/xiaoye-winters/MinerU-API
• https://huggingface.co/spaces/Instantnewdesign/document_extract
==================================
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22186
• PDF: https://arxiv.org/pdf/2509.22186
• Project Page: https://opendatalab.github.io/MinerU/
• Github: https://github.com/opendatalab/MinerU
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/opendatalab/MinerU
• https://huggingface.co/spaces/xiaoye-winters/MinerU-API
• https://huggingface.co/spaces/Instantnewdesign/document_extract
==================================
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🔹 Title: UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21766
• PDF: https://arxiv.org/pdf/2509.21766
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21766
• PDF: https://arxiv.org/pdf/2509.21766
🔹 Datasets citing this paper:
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🔹 Title: WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22644
• PDF: https://arxiv.org/pdf/2509.22644
• Github: https://github.com/mnluzimu/WebGen-Agent
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22644
• PDF: https://arxiv.org/pdf/2509.22644
• Github: https://github.com/mnluzimu/WebGen-Agent
🔹 Datasets citing this paper:
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🔹 Title: Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22601
• PDF: https://arxiv.org/pdf/2509.22601
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22601
• PDF: https://arxiv.org/pdf/2509.22601
🔹 Datasets citing this paper:
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🔹 Title: Where MLLMs Attend and What They Rely On: Explaining Autoregressive Token Generation
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22496
• PDF: https://arxiv.org/pdf/2509.22496
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22496
• PDF: https://arxiv.org/pdf/2509.22496
🔹 Datasets citing this paper:
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🔹 Title: X-Streamer: Unified Human World Modeling with Audiovisual Interaction
🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21574
• PDF: https://arxiv.org/pdf/2509.21574
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21574
• PDF: https://arxiv.org/pdf/2509.21574
🔹 Datasets citing this paper:
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🔹 Title: FlashEdit: Decoupling Speed, Structure, and Semantics for Precise Image Editing
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22244
• PDF: https://arxiv.org/pdf/2509.22244
• Github: https://github.com/JunyiWuCode/FlashEdit
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22244
• PDF: https://arxiv.org/pdf/2509.22244
• Github: https://github.com/JunyiWuCode/FlashEdit
🔹 Datasets citing this paper:
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🔹 Title: D-Artemis: A Deliberative Cognitive Framework for Mobile GUI Multi-Agents
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21799
• PDF: https://arxiv.org/pdf/2509.21799
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21799
• PDF: https://arxiv.org/pdf/2509.21799
🔹 Datasets citing this paper:
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🔹 Title: CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
🔹 Publication Date: Published on Sep 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19768
• PDF: https://arxiv.org/pdf/2509.19768
• Github: https://github.com/stanford-oval/Churro
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.19768
• PDF: https://arxiv.org/pdf/2509.19768
• Github: https://github.com/stanford-oval/Churro
🔹 Datasets citing this paper:
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❤1
🔹 Title: ReviewScore: Misinformed Peer Review Detection with Large Language Models
🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21679
• PDF: https://arxiv.org/pdf/2509.21679
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 25
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21679
• PDF: https://arxiv.org/pdf/2509.21679
🔹 Datasets citing this paper:
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🔹 Title: LucidFlux: Caption-Free Universal Image Restoration via a Large-Scale Diffusion Transformer
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22414
• PDF: https://arxiv.org/pdf/2509.22414
• Project Page: https://w2genai-lab.github.io/LucidFlux/
• Github: https://github.com/W2GenAI-Lab/LucidFlux
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22414
• PDF: https://arxiv.org/pdf/2509.22414
• Project Page: https://w2genai-lab.github.io/LucidFlux/
• Github: https://github.com/W2GenAI-Lab/LucidFlux
🔹 Datasets citing this paper:
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🔹 Title: Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21710
• PDF: https://arxiv.org/pdf/2509.21710
• Github: https://github.com/DataArcTech/RAG-Factory
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.21710
• PDF: https://arxiv.org/pdf/2509.21710
• Github: https://github.com/DataArcTech/RAG-Factory
🔹 Datasets citing this paper:
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🔹 Title: SPARK: Synergistic Policy And Reward Co-Evolving Framework
🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22624
• PDF: https://arxiv.org/pdf/2509.22624
• Project Page: https://github.com/InternLM/Spark
• Github: https://github.com/InternLM/Spark
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/internlm/Spark-Data
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.22624
• PDF: https://arxiv.org/pdf/2509.22624
• Project Page: https://github.com/InternLM/Spark
• Github: https://github.com/InternLM/Spark
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/internlm/Spark-Data
🔹 Spaces citing this paper:
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