✨Prithvi-Complimentary Adaptive Fusion Encoder (CAFE): unlocking full-potential for flood inundation mapping
📝 Summary:
Prithvi-CAFE improves flood mapping by integrating a pretrained Geo-Foundation Model encoder with a parallel CNN branch featuring attention modules. This hybrid approach effectively captures both global context and critical local details, achieving state-of-the-art results on Sen1Flood11 and Floo...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02315
• PDF: https://arxiv.org/pdf/2601.02315
• Github: https://github.com/Sk-2103/Prithvi-CAFE
==================================
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#FloodMapping #DeepLearning #GeoAI #RemoteSensing #ComputerVision
📝 Summary:
Prithvi-CAFE improves flood mapping by integrating a pretrained Geo-Foundation Model encoder with a parallel CNN branch featuring attention modules. This hybrid approach effectively captures both global context and critical local details, achieving state-of-the-art results on Sen1Flood11 and Floo...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02315
• PDF: https://arxiv.org/pdf/2601.02315
• Github: https://github.com/Sk-2103/Prithvi-CAFE
==================================
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#FloodMapping #DeepLearning #GeoAI #RemoteSensing #ComputerVision
nature papers: 1400$
Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
Contact me
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Q1 and Q2 papers 900$
Q3 and Q4 papers 500$
Doctoral thesis (complete) 700$
M.S thesis 300$
paper simulation 200$
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✨LTX-2: Efficient Joint Audio-Visual Foundation Model
📝 Summary:
LTX-2 is an open-source audiovisual diffusion model generating synchronized video and audio content. It uses a dual-stream transformer to achieve state-of-the-art quality, producing rich audio tracks efficiently.
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03233
• PDF: https://arxiv.org/pdf/2601.03233
==================================
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#AudiovisualAI #DiffusionModels #GenerativeAI #FoundationModels #VideoGeneration
📝 Summary:
LTX-2 is an open-source audiovisual diffusion model generating synchronized video and audio content. It uses a dual-stream transformer to achieve state-of-the-art quality, producing rich audio tracks efficiently.
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03233
• PDF: https://arxiv.org/pdf/2601.03233
==================================
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#AudiovisualAI #DiffusionModels #GenerativeAI #FoundationModels #VideoGeneration
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✨InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields
📝 Summary:
InfiniDepth represents depth as neural implicit fields using a local implicit decoder, enabling continuous 2D coordinate querying for arbitrary-resolution depth estimation and superior performance in ...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03252
• PDF: https://arxiv.org/pdf/2601.03252
• Github: https://zju3dv.github.io/InfiniDepth
==================================
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📝 Summary:
InfiniDepth represents depth as neural implicit fields using a local implicit decoder, enabling continuous 2D coordinate querying for arbitrary-resolution depth estimation and superior performance in ...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03252
• PDF: https://arxiv.org/pdf/2601.03252
• Github: https://zju3dv.github.io/InfiniDepth
==================================
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✨FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing
📝 Summary:
A new large-scale video dataset and framework are presented that enable effective first-frame propagation without runtime guidance through adaptive spatio-temporal positional encoding and self-distill...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01720
• PDF: https://arxiv.org/pdf/2601.01720
• Project Page: https://ffp-300k.github.io/
==================================
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📝 Summary:
A new large-scale video dataset and framework are presented that enable effective first-frame propagation without runtime guidance through adaptive spatio-temporal positional encoding and self-distill...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01720
• PDF: https://arxiv.org/pdf/2601.01720
• Project Page: https://ffp-300k.github.io/
==================================
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✨MOSS Transcribe Diarize: Accurate Transcription with Speaker Diarization
📝 Summary:
A unified multimodal large language model for end-to-end speaker-attributed, time-stamped transcription with extended context window and strong generalization across benchmarks. AI-generated summary S...
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01554
• PDF: https://arxiv.org/pdf/2601.01554
• Project Page: https://mosi.cn/models/moss-transcribe-diarize
✨ Spaces citing this paper:
• https://huggingface.co/spaces/OpenMOSS-Team/MOSS-transcribe-diarize
==================================
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📝 Summary:
A unified multimodal large language model for end-to-end speaker-attributed, time-stamped transcription with extended context window and strong generalization across benchmarks. AI-generated summary S...
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01554
• PDF: https://arxiv.org/pdf/2601.01554
• Project Page: https://mosi.cn/models/moss-transcribe-diarize
✨ Spaces citing this paper:
• https://huggingface.co/spaces/OpenMOSS-Team/MOSS-transcribe-diarize
==================================
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✨CogFlow: Bridging Perception and Reasoning through Knowledge Internalization for Visual Mathematical Problem Solving
📝 Summary:
Visual mathematical problem solving remains challenging for multimodal large language models, prompting the development of CogFlow, a cognitive-inspired three-stage framework that enhances perception,...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01874
• PDF: https://arxiv.org/pdf/2601.01874
• Project Page: https://shchen233.github.io/cogflow/
• Github: https://shchen233.github.io/cogflow/
==================================
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📝 Summary:
Visual mathematical problem solving remains challenging for multimodal large language models, prompting the development of CogFlow, a cognitive-inspired three-stage framework that enhances perception,...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01874
• PDF: https://arxiv.org/pdf/2601.01874
• Project Page: https://shchen233.github.io/cogflow/
• Github: https://shchen233.github.io/cogflow/
==================================
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✨NitroGen: An Open Foundation Model for Generalist Gaming Agents
📝 Summary:
NitroGen is a vision-action foundation model trained on extensive gameplay data that demonstrates strong cross-game generalization and effective transfer learning capabilities. AI-generated summary We...
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02427
• PDF: https://arxiv.org/pdf/2601.02427
• Project Page: https://nitrogen.minedojo.org/
• Github: https://github.com/MineDojo/NitroGen
==================================
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#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
NitroGen is a vision-action foundation model trained on extensive gameplay data that demonstrates strong cross-game generalization and effective transfer learning capabilities. AI-generated summary We...
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02427
• PDF: https://arxiv.org/pdf/2601.02427
• Project Page: https://nitrogen.minedojo.org/
• Github: https://github.com/MineDojo/NitroGen
==================================
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✨X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and A Novel LLM-consulted Explanation Framework
📝 Summary:
A novel explainability-guided training framework for hate speech detection in Indic languages that combines large language models with attention-enhancing techniques and provides human-annotated ratio...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03194
• PDF: https://arxiv.org/pdf/2601.03194
• Github: https://github.com/ziarehman30/X-MuTeST
✨ Datasets citing this paper:
• https://huggingface.co/datasets/UVSKKR/X-MuTeST
==================================
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#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
A novel explainability-guided training framework for hate speech detection in Indic languages that combines large language models with attention-enhancing techniques and provides human-annotated ratio...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03194
• PDF: https://arxiv.org/pdf/2601.03194
• Github: https://github.com/ziarehman30/X-MuTeST
✨ Datasets citing this paper:
• https://huggingface.co/datasets/UVSKKR/X-MuTeST
==================================
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#AI #DataScience #MachineLearning #HuggingFace #Research
✨Parallel Latent Reasoning for Sequential Recommendation
📝 Summary:
Parallel Latent Reasoning framework improves sequential recommendation by exploring multiple diverse reasoning trajectories simultaneously through learnable trigger tokens and adaptive aggregation. AI...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03153
• PDF: https://arxiv.org/pdf/2601.03153
==================================
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📝 Summary:
Parallel Latent Reasoning framework improves sequential recommendation by exploring multiple diverse reasoning trajectories simultaneously through learnable trigger tokens and adaptive aggregation. AI...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03153
• PDF: https://arxiv.org/pdf/2601.03153
==================================
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✨DreamStyle: A Unified Framework for Video Stylization
📝 Summary:
DreamStyle is a unified video stylization framework that supports multiple style conditions while addressing style inconsistency and temporal flicker through a specialized data curation pipeline and L...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02785
• PDF: https://arxiv.org/pdf/2601.02785
• Project Page: https://lemonsky1995.github.io/dreamstyle/
==================================
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📝 Summary:
DreamStyle is a unified video stylization framework that supports multiple style conditions while addressing style inconsistency and temporal flicker through a specialized data curation pipeline and L...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02785
• PDF: https://arxiv.org/pdf/2601.02785
• Project Page: https://lemonsky1995.github.io/dreamstyle/
==================================
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✨MiMo-V2-Flash Technical Report
📝 Summary:
MiMo-V2-Flash is a sparse Mixture-of-Experts model with hybrid attention architecture and efficient distillation technique that achieves strong performance with reduced parameters and improved inferen...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02780
• PDF: https://arxiv.org/pdf/2601.02780
• Project Page: https://mimo.xiaomi.com/blog/mimo-v2-flash
• Github: https://github.com/XiaomiMiMo/MiMo-V2-Flash
==================================
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📝 Summary:
MiMo-V2-Flash is a sparse Mixture-of-Experts model with hybrid attention architecture and efficient distillation technique that achieves strong performance with reduced parameters and improved inferen...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02780
• PDF: https://arxiv.org/pdf/2601.02780
• Project Page: https://mimo.xiaomi.com/blog/mimo-v2-flash
• Github: https://github.com/XiaomiMiMo/MiMo-V2-Flash
==================================
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✨WebGym: Scaling Training Environments for Visual Web Agents with Realistic Tasks
📝 Summary:
WebGym presents a large-scale open-source environment for training visual web agents using reinforcement learning with high-throughput asynchronous sampling, achieving superior performance on unseen w...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02439
• PDF: https://arxiv.org/pdf/2601.02439
==================================
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📝 Summary:
WebGym presents a large-scale open-source environment for training visual web agents using reinforcement learning with high-throughput asynchronous sampling, achieving superior performance on unseen w...
🔹 Publication Date: Published on Jan 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02439
• PDF: https://arxiv.org/pdf/2601.02439
==================================
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✨UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision
📝 Summary:
UniCorn is a self-improvement framework enhancing multimodal model generation. It uses self-play and cognitive reconstruction, without external data or supervision. UniCorn achieves state-of-the-art text-to-image generation.
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03193
• PDF: https://arxiv.org/pdf/2601.03193
==================================
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📝 Summary:
UniCorn is a self-improvement framework enhancing multimodal model generation. It uses self-play and cognitive reconstruction, without external data or supervision. UniCorn achieves state-of-the-art text-to-image generation.
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03193
• PDF: https://arxiv.org/pdf/2601.03193
==================================
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✨The Sonar Moment: Benchmarking Audio-Language Models in Audio Geo-Localization
📝 Summary:
Audio geo-localization benchmark AGL1K is introduced to advance audio language models' geospatial reasoning capabilities through curated audio clips and evaluation across multiple models. AI-generated...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03227
• PDF: https://arxiv.org/pdf/2601.03227
• Github: https://github.com/Rising0321/AGL1K
✨ Spaces citing this paper:
• https://huggingface.co/spaces/RisingZhang/AudioGeoLoc
==================================
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📝 Summary:
Audio geo-localization benchmark AGL1K is introduced to advance audio language models' geospatial reasoning capabilities through curated audio clips and evaluation across multiple models. AI-generated...
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03227
• PDF: https://arxiv.org/pdf/2601.03227
• Github: https://github.com/Rising0321/AGL1K
✨ Spaces citing this paper:
• https://huggingface.co/spaces/RisingZhang/AudioGeoLoc
==================================
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ML Research Hub
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Just send what you want and it will design everything for you and the possibility to make money from your app 👍
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✨SOP: A Scalable Online Post-Training System for Vision-Language-Action Models
📝 Summary:
SOP is a scalable online post-training system for VLA models that enables real-world robot policy adaptation. It uses a robot fleet to continuously learn from interaction, improving task proficiency while maintaining generality. SOP significantly boosts VLA model performance within hours.
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03044
• PDF: https://arxiv.org/pdf/2601.03044
==================================
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📝 Summary:
SOP is a scalable online post-training system for VLA models that enables real-world robot policy adaptation. It uses a robot fleet to continuously learn from interaction, improving task proficiency while maintaining generality. SOP significantly boosts VLA model performance within hours.
🔹 Publication Date: Published on Jan 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03044
• PDF: https://arxiv.org/pdf/2601.03044
==================================
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✨SciEvalKit: An Open-source Evaluation Toolkit for Scientific General Intelligence
📝 Summary:
SciEvalKit is an open-source toolkit for evaluating AI models in science. It assesses scientific intelligence across diverse domains and competencies using expert-grade benchmarks and a flexible pipeline. This provides a standardized platform for scientific AI evaluation.
🔹 Publication Date: Published on Dec 26, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22334
• PDF: https://arxiv.org/pdf/2512.22334
==================================
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#AIevaluation #ScientificAI #OpenSource #AIBenchmarks #AIResearch
📝 Summary:
SciEvalKit is an open-source toolkit for evaluating AI models in science. It assesses scientific intelligence across diverse domains and competencies using expert-grade benchmarks and a flexible pipeline. This provides a standardized platform for scientific AI evaluation.
🔹 Publication Date: Published on Dec 26, 2025
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.22334
• PDF: https://arxiv.org/pdf/2512.22334
==================================
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#AIevaluation #ScientificAI #OpenSource #AIBenchmarks #AIResearch
✨Steerability of Instrumental-Convergence Tendencies in LLMs
📝 Summary:
This research investigates AI system steerability, noting a safety-security dilemma. It demonstrates that a short anti-instrumental prompt suffix dramatically reduces unwanted instrumental behaviors, like self-replication, in large language models. For Qwen3-30B, this reduced the convergence rate...
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01584
• PDF: https://arxiv.org/pdf/2601.01584
• Github: https://github.com/j-hoscilowicz/instrumental_steering/
==================================
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#AISafety #LLMs #AISteering #PromptEngineering #AIAlignment
📝 Summary:
This research investigates AI system steerability, noting a safety-security dilemma. It demonstrates that a short anti-instrumental prompt suffix dramatically reduces unwanted instrumental behaviors, like self-replication, in large language models. For Qwen3-30B, this reduced the convergence rate...
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01584
• PDF: https://arxiv.org/pdf/2601.01584
• Github: https://github.com/j-hoscilowicz/instrumental_steering/
==================================
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#AISafety #LLMs #AISteering #PromptEngineering #AIAlignment
✨OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs
📝 Summary:
OpenRT is an open-source framework that unifies and modularizes red-teaming for multimodal LLMs. It exposes significant safety gaps in frontier models, which fail to generalize across diverse attacks, showing attack success rates up to 49.14%.
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01592
• PDF: https://arxiv.org/pdf/2601.01592
• Project Page: https://ai45lab.github.io/OpenRT/
• Github: https://github.com/AI45Lab/OpenRT
==================================
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#RedTeaming #MultimodalLLMs #AISafety #LLMSecurity #AIResearch
📝 Summary:
OpenRT is an open-source framework that unifies and modularizes red-teaming for multimodal LLMs. It exposes significant safety gaps in frontier models, which fail to generalize across diverse attacks, showing attack success rates up to 49.14%.
🔹 Publication Date: Published on Jan 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01592
• PDF: https://arxiv.org/pdf/2601.01592
• Project Page: https://ai45lab.github.io/OpenRT/
• Github: https://github.com/AI45Lab/OpenRT
==================================
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#RedTeaming #MultimodalLLMs #AISafety #LLMSecurity #AIResearch
✨AceFF: A State-of-the-Art Machine Learning Potential for Small Molecules
📝 Summary:
AceFF is a new machine learning potential for small molecule drug discovery. It offers DFT-level accuracy with high speed, supporting essential elements and charged states. Validation shows it is state-of-the-art for organic molecules.
🔹 Publication Date: Published on Jan 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.00581
• PDF: https://arxiv.org/pdf/2601.00581
• Github: https://github.com/torchmd/torchmd-net
🔹 Models citing this paper:
• https://huggingface.co/Acellera/AceFF-2.0
==================================
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#MachineLearning #DrugDiscovery #ComputationalChemistry #AIforScience #SmallMolecules
📝 Summary:
AceFF is a new machine learning potential for small molecule drug discovery. It offers DFT-level accuracy with high speed, supporting essential elements and charged states. Validation shows it is state-of-the-art for organic molecules.
🔹 Publication Date: Published on Jan 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.00581
• PDF: https://arxiv.org/pdf/2601.00581
• Github: https://github.com/torchmd/torchmd-net
🔹 Models citing this paper:
• https://huggingface.co/Acellera/AceFF-2.0
==================================
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#MachineLearning #DrugDiscovery #ComputationalChemistry #AIforScience #SmallMolecules
❤1