🔹 Title: Emergence of Linear Truth Encodings in Language Models
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15804
• PDF: https://arxiv.org/pdf/2510.15804
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15804
• PDF: https://arxiv.org/pdf/2510.15804
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🔹 Title: Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets
🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19944
• PDF: https://arxiv.org/pdf/2510.19944
• Project Page: https://seed.bytedance.com/seed3d
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🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19944
• PDF: https://arxiv.org/pdf/2510.19944
• Project Page: https://seed.bytedance.com/seed3d
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🔹 Title: Thought Communication in Multiagent Collaboration
🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20733
• PDF: https://arxiv.org/pdf/2510.20733
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🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20733
• PDF: https://arxiv.org/pdf/2510.20733
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🔹 Title: SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16917
• PDF: https://arxiv.org/pdf/2510.16917
• Project Page: https://github.com/ckyang1124/SAKE
• Github: https://github.com/ckyang1124/SAKE
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🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16917
• PDF: https://arxiv.org/pdf/2510.16917
• Project Page: https://github.com/ckyang1124/SAKE
• Github: https://github.com/ckyang1124/SAKE
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🔹 Title: Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16893
• PDF: https://arxiv.org/pdf/2510.16893
• Project Page: https://github.com/WoZhenDeShenMeDouBuZhidao/LALM-emotional-vulnerability
• Github: https://github.com/WoZhenDeShenMeDouBuZhidao/LALM-emotional-vulnerability
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🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.16893
• PDF: https://arxiv.org/pdf/2510.16893
• Project Page: https://github.com/WoZhenDeShenMeDouBuZhidao/LALM-emotional-vulnerability
• Github: https://github.com/WoZhenDeShenMeDouBuZhidao/LALM-emotional-vulnerability
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🔹 Title: Diff-XYZ: A Benchmark for Evaluating Diff Understanding
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12487
• PDF: https://arxiv.org/pdf/2510.12487
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/JetBrains-Research/diff-xyz
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12487
• PDF: https://arxiv.org/pdf/2510.12487
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/JetBrains-Research/diff-xyz
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🔹 Title: ComProScanner: A multi-agent based framework for composition-property structured data extraction from scientific literature
🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20362
• PDF: https://arxiv.org/pdf/2510.20362
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🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20362
• PDF: https://arxiv.org/pdf/2510.20362
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🔹 Title: Communication to Completion: Modeling Collaborative Workflows with Intelligent Multi-Agent Communication
🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19995
• PDF: https://arxiv.org/pdf/2510.19995
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🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19995
• PDF: https://arxiv.org/pdf/2510.19995
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🤖🧠 LangChain: The Ultimate Framework for Building Reliable AI Agents and LLM Applications
🗓️ 24 Oct 2025
📚 AI News & Trends
As artificial intelligence continues to transform industries, developers are racing to build smarter, more adaptive applications powered by Large Language Models (LLMs). Yet, one major challenge remains how to make these models interact intelligently with real-world data and external systems in a scalable, reliable way. Enter LangChain, an open-source framework designed to make LLM-powered application ...
#LangChain #AI #LLM #ArtificialIntelligence #OpenSource #AIAgents
🗓️ 24 Oct 2025
📚 AI News & Trends
As artificial intelligence continues to transform industries, developers are racing to build smarter, more adaptive applications powered by Large Language Models (LLMs). Yet, one major challenge remains how to make these models interact intelligently with real-world data and external systems in a scalable, reliable way. Enter LangChain, an open-source framework designed to make LLM-powered application ...
#LangChain #AI #LLM #ArtificialIntelligence #OpenSource #AIAgents
❤1
🔹 Title: CiteGuard: Faithful Citation Attribution for LLMs via Retrieval-Augmented Validation
🔹 Publication Date: Published on Oct 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17853
• PDF: https://arxiv.org/pdf/2510.17853
• Project Page: https://kathcym.github.io/CiteGuard_Page/
• Github: https://kathcym.github.io/CiteGuard_Page/
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🔹 Publication Date: Published on Oct 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17853
• PDF: https://arxiv.org/pdf/2510.17853
• Project Page: https://kathcym.github.io/CiteGuard_Page/
• Github: https://kathcym.github.io/CiteGuard_Page/
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❤1
🔹 Title: Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18245
• PDF: https://arxiv.org/pdf/2510.18245
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🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18245
• PDF: https://arxiv.org/pdf/2510.18245
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❤1
🔹 Title: Adamas: Hadamard Sparse Attention for Efficient Long-Context Inference
🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18413
• PDF: https://arxiv.org/pdf/2510.18413
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🔹 Publication Date: Published on Oct 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.18413
• PDF: https://arxiv.org/pdf/2510.18413
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🔹 Title: Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism
🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17896
• PDF: https://arxiv.org/pdf/2510.17896
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🔹 Publication Date: Published on Oct 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.17896
• PDF: https://arxiv.org/pdf/2510.17896
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❤1
🔹 Title: MSC-Bench: A Rigorous Benchmark for Multi-Server Tool Orchestration
🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19423
• PDF: https://arxiv.org/pdf/2510.19423
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🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19423
• PDF: https://arxiv.org/pdf/2510.19423
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❤3
🔹 Title: WorldGrow: Generating Infinite 3D World
🔹 Publication Date: Published on Oct 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21682
• PDF: https://arxiv.org/pdf/2510.21682
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🔹 Publication Date: Published on Oct 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21682
• PDF: https://arxiv.org/pdf/2510.21682
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🔹 Title: PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis
🔹 Publication Date: Published on Oct 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21447
• PDF: https://arxiv.org/pdf/2510.21447
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🔹 Publication Date: Published on Oct 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21447
• PDF: https://arxiv.org/pdf/2510.21447
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🔹 Title: ARC-Encoder: learning compressed text representations for large language models
🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20535
• PDF: https://arxiv.org/pdf/2510.20535
• Github: https://github.com/kyutai-labs/ARC-Encoder
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/kyutai/ARC_finetuning
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🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20535
• PDF: https://arxiv.org/pdf/2510.20535
• Github: https://github.com/kyutai-labs/ARC-Encoder
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/kyutai/ARC_finetuning
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🔹 Title: DeepAgent: A General Reasoning Agent with Scalable Toolsets
🔹 Publication Date: Published on Oct 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21618
• PDF: https://arxiv.org/pdf/2510.21618
• Github: https://github.com/RUC-NLPIR/DeepAgent
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🔹 Publication Date: Published on Oct 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.21618
• PDF: https://arxiv.org/pdf/2510.21618
• Github: https://github.com/RUC-NLPIR/DeepAgent
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🔹 Title: UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction-as-Reasoning
🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20286
• PDF: https://arxiv.org/pdf/2510.20286
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🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20286
• PDF: https://arxiv.org/pdf/2510.20286
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🔹 Title: Video-As-Prompt: Unified Semantic Control for Video Generation
🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20888
• PDF: https://arxiv.org/pdf/2510.20888
• Project Page: https://bytedance.github.io/Video-As-Prompt/
• Github: https://github.com/bytedance/Video-As-Prompt
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/BianYx/VAP-Data
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🔹 Publication Date: Published on Oct 23
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.20888
• PDF: https://arxiv.org/pdf/2510.20888
• Project Page: https://bytedance.github.io/Video-As-Prompt/
• Github: https://github.com/bytedance/Video-As-Prompt
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/BianYx/VAP-Data
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🔹 Title: From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19871
• PDF: https://arxiv.org/pdf/2510.19871
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🔹 Publication Date: Published on Oct 22
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.19871
• PDF: https://arxiv.org/pdf/2510.19871
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