✨Mamba: Linear-Time Sequence Modeling with Selective State Spaces
📝 Summary:
Mamba, a novel SSM-based model, outperforms Transformers in inference speed and scalability across various modalities by selectively propagating information and using efficient hardware-aware algorith...
🔹 Publication Date: Published on Dec 1, 2023
🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/mamba-linear-time-sequence-modeling-with-selective-state-spaces
• PDF: https://arxiv.org/pdf/2312.00752
• Github: https://github.com/state-spaces/mamba
🔹 Models citing this paper:
• https://huggingface.co/tiiuae/falcon-mamba-7b
• https://huggingface.co/state-spaces/mamba-2.8b-slimpj
• https://huggingface.co/tiiuae/falcon-mamba-7b-instruct
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Sherirto/BD4UI
✨ Spaces citing this paper:
• https://huggingface.co/spaces/openfree/LLM_Quantization
• https://huggingface.co/spaces/FallnAI/Quantize-HF-Models
• https://huggingface.co/spaces/seawolf2357/LLM_Quantization
==================================
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📝 Summary:
Mamba, a novel SSM-based model, outperforms Transformers in inference speed and scalability across various modalities by selectively propagating information and using efficient hardware-aware algorith...
🔹 Publication Date: Published on Dec 1, 2023
🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/mamba-linear-time-sequence-modeling-with-selective-state-spaces
• PDF: https://arxiv.org/pdf/2312.00752
• Github: https://github.com/state-spaces/mamba
🔹 Models citing this paper:
• https://huggingface.co/tiiuae/falcon-mamba-7b
• https://huggingface.co/state-spaces/mamba-2.8b-slimpj
• https://huggingface.co/tiiuae/falcon-mamba-7b-instruct
✨ Datasets citing this paper:
• https://huggingface.co/datasets/Sherirto/BD4UI
✨ Spaces citing this paper:
• https://huggingface.co/spaces/openfree/LLM_Quantization
• https://huggingface.co/spaces/FallnAI/Quantize-HF-Models
• https://huggingface.co/spaces/seawolf2357/LLM_Quantization
==================================
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Arxivexplained
Mamba: Linear-Time Sequence Modeling with Selective State Spaces - Explained Simply
By Albert Gu, Tri Dao. # Mamba: The AI Architecture That Could Replace Transformers
**The Problem:** Today's most powerful...
**The Problem:** Today's most powerful...
✨AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets
📝 Summary:
AI-Trader evaluates the performance of large language models in real-world financial markets, highlighting their limitations in trading and risk management. AI-generated summary Large Language Models ...
🔹 Publication Date: Published on Dec 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10971
• PDF: https://arxiv.org/pdf/2512.10971
• Project Page: https://ai4trade.ai/
• Github: https://github.com/HKUDS/AI-Trader
==================================
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📝 Summary:
AI-Trader evaluates the performance of large language models in real-world financial markets, highlighting their limitations in trading and risk management. AI-generated summary Large Language Models ...
🔹 Publication Date: Published on Dec 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10971
• PDF: https://arxiv.org/pdf/2512.10971
• Project Page: https://ai4trade.ai/
• Github: https://github.com/HKUDS/AI-Trader
==================================
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✨Inferring Compositional 4D Scenes without Ever Seeing One
📝 Summary:
COM4D infers 4D/3D object structure and spatio-temporal configuration from 2D video. It avoids 4D compositional training data by disentangling spatial and temporal attention learning. This purely data-driven method achieves state-of-the-art results in 4D object and composed 3D reconstruction.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05272
• PDF: https://arxiv.org/pdf/2512.05272
• Project Page: https://berkegokmen1.github.io/com4d/
• Github: https://github.com/insait-institute/COM4D
==================================
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📝 Summary:
COM4D infers 4D/3D object structure and spatio-temporal configuration from 2D video. It avoids 4D compositional training data by disentangling spatial and temporal attention learning. This purely data-driven method achieves state-of-the-art results in 4D object and composed 3D reconstruction.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05272
• PDF: https://arxiv.org/pdf/2512.05272
• Project Page: https://berkegokmen1.github.io/com4d/
• Github: https://github.com/insait-institute/COM4D
==================================
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✨FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs
📝 Summary:
FunAudioLLM enhances voice interactions by integrating SenseVoice for multilingual speech recognition, emotion detection, and audio event detection with CosyVoice for natural speech generation across ...
🔹 Publication Date: Published on Jul 4, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2407.04051
• PDF: https://arxiv.org/pdf/2407.04051
• Github: https://github.com/FunAudioLLM
==================================
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📝 Summary:
FunAudioLLM enhances voice interactions by integrating SenseVoice for multilingual speech recognition, emotion detection, and audio event detection with CosyVoice for natural speech generation across ...
🔹 Publication Date: Published on Jul 4, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2407.04051
• PDF: https://arxiv.org/pdf/2407.04051
• Github: https://github.com/FunAudioLLM
==================================
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✨SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion
📝 Summary:
SmolDocling is a compact vision-language model that performs end-to-end document conversion with robust performance across various document types using 256M parameters and a new markup format. AI-gene...
🔹 Publication Date: Published on Mar 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2503.11576
• PDF: https://huggingface.co/papers/2502.18443
• Project Page: https://huggingface.co/spaces/docling-project/SmolDocling-256M-Demo
• Github: https://github.com/docling-project/docling
🔹 Models citing this paper:
• https://huggingface.co/docling-project/SmolDocling-256M-preview
• https://huggingface.co/ibm-granite/granite-docling-258M
• https://huggingface.co/docling-project/CodeFormulaV2
✨ Datasets citing this paper:
• https://huggingface.co/datasets/docling-project/SynthCodeNet
• https://huggingface.co/datasets/HuggingFaceM4/DoclingMatix
• https://huggingface.co/datasets/docling-project/SynthChartNet
✨ Spaces citing this paper:
• https://huggingface.co/spaces/ibm-granite/granite-docling-258m-demo
• https://huggingface.co/spaces/ibm-granite/granite-docling-258M-WebGPU
• https://huggingface.co/spaces/docling-project/SmolDocling-256M-Demo
==================================
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📝 Summary:
SmolDocling is a compact vision-language model that performs end-to-end document conversion with robust performance across various document types using 256M parameters and a new markup format. AI-gene...
🔹 Publication Date: Published on Mar 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2503.11576
• PDF: https://huggingface.co/papers/2502.18443
• Project Page: https://huggingface.co/spaces/docling-project/SmolDocling-256M-Demo
• Github: https://github.com/docling-project/docling
🔹 Models citing this paper:
• https://huggingface.co/docling-project/SmolDocling-256M-preview
• https://huggingface.co/ibm-granite/granite-docling-258M
• https://huggingface.co/docling-project/CodeFormulaV2
✨ Datasets citing this paper:
• https://huggingface.co/datasets/docling-project/SynthCodeNet
• https://huggingface.co/datasets/HuggingFaceM4/DoclingMatix
• https://huggingface.co/datasets/docling-project/SynthChartNet
✨ Spaces citing this paper:
• https://huggingface.co/spaces/ibm-granite/granite-docling-258m-demo
• https://huggingface.co/spaces/ibm-granite/granite-docling-258M-WebGPU
• https://huggingface.co/spaces/docling-project/SmolDocling-256M-Demo
==================================
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arXiv.org
SmolDocling: An ultra-compact vision-language model for end-to-end...
We introduce SmolDocling, an ultra-compact vision-language model targeting end-to-end document conversion. Our model comprehensively processes entire pages by generating DocTags, a new universal...
✨OpenDevin: An Open Platform for AI Software Developers as Generalist Agents
📝 Summary:
OpenDevin is a platform for developing AI agents that interact with the world by writing code, using command lines, and browsing the web, with support for multiple agents and evaluation benchmarks. AI...
🔹 Publication Date: Published on Jul 23, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2407.16741
• PDF: https://arxiv.org/pdf/2407.16741
• Github: https://github.com/OpenDevin/OpenDevin/?tab=readme-ov-file#-join-our-community
==================================
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📝 Summary:
OpenDevin is a platform for developing AI agents that interact with the world by writing code, using command lines, and browsing the web, with support for multiple agents and evaluation benchmarks. AI...
🔹 Publication Date: Published on Jul 23, 2024
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2407.16741
• PDF: https://arxiv.org/pdf/2407.16741
• Github: https://github.com/OpenDevin/OpenDevin/?tab=readme-ov-file#-join-our-community
==================================
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✨Single-stream Policy Optimization
📝 Summary:
Single-stream Policy Optimization (SPO) improves policy-gradient training for Large Language Models by eliminating group-based issues and providing a stable, low-variance learning signal, leading to b...
🔹 Publication Date: Published on Sep 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13232
• PDF: https://arxiv.org/pdf/2509.13232
• Project Page: https://zhongwenxu.notion.site/Single-stream-Policy-Optimization-26a1c4e140e380d78d51fa4567727f50
• Github: https://github.com/volcengine/verl
🔹 Models citing this paper:
• https://huggingface.co/jingyaogong/MiniMind2-gguf
✨ Datasets citing this paper:
• https://huggingface.co/datasets/dingzihan737/SPO_Qwen3-8B_DAPO_16k_ReTool_Binary
==================================
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📝 Summary:
Single-stream Policy Optimization (SPO) improves policy-gradient training for Large Language Models by eliminating group-based issues and providing a stable, low-variance learning signal, leading to b...
🔹 Publication Date: Published on Sep 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.13232
• PDF: https://arxiv.org/pdf/2509.13232
• Project Page: https://zhongwenxu.notion.site/Single-stream-Policy-Optimization-26a1c4e140e380d78d51fa4567727f50
• Github: https://github.com/volcengine/verl
🔹 Models citing this paper:
• https://huggingface.co/jingyaogong/MiniMind2-gguf
✨ Datasets citing this paper:
• https://huggingface.co/datasets/dingzihan737/SPO_Qwen3-8B_DAPO_16k_ReTool_Binary
==================================
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✨Qwen2.5-VL Technical Report
📝 Summary:
Qwen2.5-VL, the latest vision-language model, advances visual recognition, document parsing, and video comprehension through dynamic resolution processing, Window Attention, and a native Vision Transf...
🔹 Publication Date: Published on Feb 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2502.13923
• PDF: https://arxiv.org/pdf/2502.13923
• Project Page: https://chat.qwenlm.ai
• Github: https://github.com/QwenLM/Qwen2.5-VL
🔹 Models citing this paper:
• https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct
• https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct
• https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct
✨ Datasets citing this paper:
• https://huggingface.co/datasets/xlangai/Jedi
• https://huggingface.co/datasets/IntelligenceLab/VideoHallu
• https://huggingface.co/datasets/turing-motors/MOMIJI
✨ Spaces citing this paper:
• https://huggingface.co/spaces/AntResearchNLP/ViLaBench
• https://huggingface.co/spaces/SmartFlowAI/HuggingFaceMonthlyPaper202502
• https://huggingface.co/spaces/hadadxyz/ai
==================================
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📝 Summary:
Qwen2.5-VL, the latest vision-language model, advances visual recognition, document parsing, and video comprehension through dynamic resolution processing, Window Attention, and a native Vision Transf...
🔹 Publication Date: Published on Feb 19
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2502.13923
• PDF: https://arxiv.org/pdf/2502.13923
• Project Page: https://chat.qwenlm.ai
• Github: https://github.com/QwenLM/Qwen2.5-VL
🔹 Models citing this paper:
• https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct
• https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct
• https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct
✨ Datasets citing this paper:
• https://huggingface.co/datasets/xlangai/Jedi
• https://huggingface.co/datasets/IntelligenceLab/VideoHallu
• https://huggingface.co/datasets/turing-motors/MOMIJI
✨ Spaces citing this paper:
• https://huggingface.co/spaces/AntResearchNLP/ViLaBench
• https://huggingface.co/spaces/SmartFlowAI/HuggingFaceMonthlyPaper202502
• https://huggingface.co/spaces/hadadxyz/ai
==================================
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arXiv.org
Qwen2.5-VL Technical Report
We introduce Qwen2.5-VL, the latest flagship model of Qwen vision-language series, which demonstrates significant advancements in both foundational capabilities and innovative functionalities....
✨WebWalker: Benchmarking LLMs in Web Traversal
📝 Summary:
WebWalkerQA assesses LLMs' ability to traverse websites for high-quality data, showing enhancements when combined with RAG using the WebWalker multi-agent framework. AI-generated summary Retrieval-aug...
🔹 Publication Date: Published on Jan 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2501.07572
• PDF: https://arxiv.org/pdf/2501.07572
• Github: https://alibaba-nlp.github.io/WebWalker/
✨ Datasets citing this paper:
• https://huggingface.co/datasets/callanwu/WebWalkerQA
• https://huggingface.co/datasets/shenxiaofan/WebWalkerQA
✨ Spaces citing this paper:
• https://huggingface.co/spaces/callanwu/WebWalkerQALeaderboard
• https://huggingface.co/spaces/dobval/WebThinker
==================================
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📝 Summary:
WebWalkerQA assesses LLMs' ability to traverse websites for high-quality data, showing enhancements when combined with RAG using the WebWalker multi-agent framework. AI-generated summary Retrieval-aug...
🔹 Publication Date: Published on Jan 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2501.07572
• PDF: https://arxiv.org/pdf/2501.07572
• Github: https://alibaba-nlp.github.io/WebWalker/
✨ Datasets citing this paper:
• https://huggingface.co/datasets/callanwu/WebWalkerQA
• https://huggingface.co/datasets/shenxiaofan/WebWalkerQA
✨ Spaces citing this paper:
• https://huggingface.co/spaces/callanwu/WebWalkerQALeaderboard
• https://huggingface.co/spaces/dobval/WebThinker
==================================
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✨Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflows
📝 Summary:
Finch, a benchmark for AI agents in enterprise finance and accounting, evaluates performance across complex, real-world workflows using authentic data from Enron and other institutions. AI-generated s...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13168
• PDF: https://arxiv.org/pdf/2512.13168
• Project Page: https://huggingface.co/datasets/FinWorkBench/Finch
✨ Datasets citing this paper:
• https://huggingface.co/datasets/FinWorkBench/Finch
==================================
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📝 Summary:
Finch, a benchmark for AI agents in enterprise finance and accounting, evaluates performance across complex, real-world workflows using authentic data from Enron and other institutions. AI-generated s...
🔹 Publication Date: Published on Dec 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.13168
• PDF: https://arxiv.org/pdf/2512.13168
• Project Page: https://huggingface.co/datasets/FinWorkBench/Finch
✨ Datasets citing this paper:
• https://huggingface.co/datasets/FinWorkBench/Finch
==================================
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