✨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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✨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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✨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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✨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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A great app for building and programming desktop, Android, and Telegram bots using only prompts

Just send what you want and it will design everything for you and the possibility to make money from your app 👍

✨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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✨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

✨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

✨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

✨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

✨Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training

📝 Summary:
Muses is a training-free method for generating fantastic 3D creatures. It leverages 3D skeletal structures and graph-constrained reasoning to coherently design, compose, and assemble diverse elements. This approach achieves state-of-the-art visual fidelity and alignment with text descriptions.

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03256
• PDF: https://arxiv.org/pdf/2601.03256
• Github: https://github.com/luhexiao/Muses

==================================

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#3DGeneration #GenerativeAI #ComputerGraphics #AIArt #TrainingFreeAI

✨U-Net-Like Spiking Neural Networks for Single Image Dehazing

📝 Summary:
DehazeSNN introduces a U-Net-like Spiking Neural Network with an Orthogonal Leaky-Integrate-and-Fire Block for efficient image dehazing. It achieves competitive performance with reduced computational resources and a smaller model size.

🔹 Publication Date: Published on Dec 30, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.23950
• PDF: https://arxiv.org/pdf/2512.23950
• Github: https://github.com/HaoranLiu507/DehazeSNN

==================================

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✨Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models

📝 Summary:
This paper presents a four-stage framework for AI in digital twins: modeling, mirroring, intervention, and autonomous management. It details how physics-informed AI and large language models empower proactive, self-improving digital twins, acknowledging key challenges.

🔹 Publication Date: Published on Jan 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.01321
• PDF: https://arxiv.org/pdf/2601.01321
• Github: https://github.com/rongzhou7/Awesome-Digital-Twin-AI/tree/main

==================================

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#DigitalTwin #AI #LLM #WorldModels #PhysicsInformedAI

✨Mechanistic Interpretability of Large-Scale Counting in LLMs through a System-2 Strategy

📝 Summary:
LLMs struggle with large counting due to architectural limits. A System-2 inspired test-time strategy decomposes tasks into smaller parts, achieving high accuracy. This approach involves latent count computation, dedicated attention, and aggregation, overcoming model limitations.

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02989
• PDF: https://arxiv.org/pdf/2601.02989

==================================

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#LLM #MechanisticInterpretability #System2Strategy #AIResearch #NLP

✨ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors

📝 Summary:
ExposeAnyone is a self-supervised diffusion model for deepfake detection that personalizes to subjects and uses reconstruction errors to measure identity distance. It significantly outperforms prior methods on unseen manipulations, including Sora2 videos, and is robust to real-world corruptions.

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02359
• PDF: https://arxiv.org/pdf/2601.02359
• Github: https://mapooon.github.io/ExposeAnyonePage/

✨ Datasets citing this paper:
• https://huggingface.co/datasets/mapooon/S2CFP

==================================

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#DeepfakeDetection #DiffusionModels #ComputerVision #AITechnology #ForgeryDetection

✨Unified Thinker: A General Reasoning Modular Core for Image Generation

📝 Summary:
Unified Thinker introduces a modular reasoning core for image generation, decoupling a Thinker from the generator. It uses reinforcement learning to optimize visual correctness, substantially improving image reasoning and generation quality.

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03127
• PDF: https://arxiv.org/pdf/2601.03127

==================================

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#ImageGeneration #AIResearch #ReinforcementLearning #DeepLearning #GenerativeAI

✨Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners

📝 Summary:
Large reasoning models show multilingual latent reasoning, stronger in resource-rich languages but weaker in low-resource ones. Despite varying strength, their internal prediction evolution is consistent across languages, suggesting an English-centered latent reasoning pathway.

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02996
• PDF: https://arxiv.org/pdf/2601.02996
• Github: https://github.com/cisnlp/multilingual-latent-reasoner

==================================

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✨UniVideo: Unified Understanding, Generation, and Editing for Videos

📝 Summary:
UniVideo, a dual-stream framework combining a Multimodal Large Language Model and a Multimodal DiT, extends unified modeling to video generation and editing, achieving state-of-the-art performance and...

🔹 Publication Date: Published on Oct 9, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08377
• PDF: https://arxiv.org/pdf/2510.08377
• Project Page: https://congwei1230.github.io/UniVideo/
• Github: https://github.com/KwaiVGI/UniVideo

==================================

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