ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

📝 Summary:
Materiomusic links matter's hierarchical structures to music's compositional logic through vibrational principles. Sound serves as a scientific probe, revealing how selective imperfection drives novelty in both. AI models can leverage this framework for creative invention beyond interpolation.

🔹 Publication Date: Published on Dec 30, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.00863
• PDF: https://arxiv.org/pdf/2601.00863
• Github: https://github.com/lamm-mit/MusicAnalysis

Datasets citing this paper:
https://huggingface.co/datasets/lamm-mit/scales-12tet-defects

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#GenerativeAI #ComputationalMusic #ComplexSystems #Creativity #Interdisciplinary
Confidence Estimation for LLMs in Multi-turn Interactions

📝 Summary:
This paper presents the first systematic study of confidence estimation in multi-turn LLM interactions, introducing a formal evaluation framework, novel metrics, and a Hinter-Guesser dataset paradigm. It reveals that current confidence techniques struggle with calibration and monotonicity in mult...

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02179
• PDF: https://arxiv.org/pdf/2601.02179

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#LLM #ConfidenceEstimation #ConversationalAI #NLP #AIResearch
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DiffProxy: Multi-View Human Mesh Recovery via Diffusion-Generated Dense Proxies

📝 Summary:
DiffProxy generates multi-view consistent human proxies using diffusion models to improve human mesh recovery. This bridges synthetic training and real-world generalization, achieving state-of-the-art performance on real benchmarks.

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02267
• PDF: https://arxiv.org/pdf/2601.02267
• Project Page: https://wrk226.github.io/DiffProxy.html
• Github: https://github.com/wrk226/DiffProxy

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#HumanMeshRecovery #DiffusionModels #ComputerVision #DeepLearning #AI
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CPPO: Contrastive Perception for Vision Language Policy Optimization

📝 Summary:
CPPO improves vision-language model fine-tuning by detecting perception tokens through entropy shifts. It then applies a Contrastive Perception Loss to enhance multimodal reasoning, outperforming prior methods more efficiently.

🔹 Publication Date: Published on Jan 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.00501
• PDF: https://arxiv.org/pdf/2601.00501

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#VisionLanguageModels #MultimodalAI #ContrastiveLearning #DeepLearning #AIResearch
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
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Q3 and Q4 papers   500$

Doctoral thesis (complete)    700$

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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
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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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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
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
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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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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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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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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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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#AI #DataScience #MachineLearning #HuggingFace #Research
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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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#AI #DataScience #MachineLearning #HuggingFace #Research