✨Stemphonic: All-at-once Flexible Multi-stem Music Generation

📝 Summary:
Stemphonic is a new AI framework that generates variable sets of synchronized musical stems in a single pass. This diffusion- and flow-based method improves quality and is 25 to 50 percent faster than previous approaches, which were either fixed or slow.

🔹 Publication Date: Published on Feb 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.09891
• PDF: https://arxiv.org/pdf/2602.09891
• Project Page: https://stemphonic-demo.vercel.app

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#AI #MusicGeneration #MachineLearning #GenerativeAI #DiffusionModels

✨Single-minus gluon tree amplitudes are nonzero

📝 Summary:
Single-minus gluon tree amplitudes, often presumed zero, are shown to be nonvanishing for half-collinear configurations or complex momenta. A closed-form expression is derived for their decay.

🔹 Publication Date: Published on Feb 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.12176
• PDF: https://arxiv.org/pdf/2602.12176

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨EvoCorps: An Evolutionary Multi-Agent Framework for Depolarizing Online Discourse

📝 Summary:
EvoCorps is an evolutionary multi-agent framework for proactively depolarizing online discourse. It uses dynamic social game coordination and closed-loop learning to adapt strategies in real time. EvoCorps improves discourse outcomes across emotional polarization, viewpoint extremity, and argumen...

🔹 Publication Date: Published on Feb 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.08529
• PDF: https://arxiv.org/pdf/2602.08529
• Github: https://github.com/ln2146/EvoCorps

✨ Datasets citing this paper:
• https://huggingface.co/datasets/loge2146/evocorps-misinformation-news
• https://huggingface.co/datasets/loge2146/evocorps-neutral-news
• https://huggingface.co/datasets/loge2146/evocorps-neutral-personas

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨MemFly: On-the-Fly Memory Optimization via Information Bottleneck

📝 Summary:
MemFly addresses the challenge of long-term memory in language models by using information bottleneck principles to create an adaptive memory structure with hybrid retrieval mechanisms for improved ta...

🔹 Publication Date: Published on Feb 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.07885
• PDF: https://arxiv.org/pdf/2602.07885

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Moonshine: Speech Recognition for Live Transcription and Voice Commands

📝 Summary:
Moonshine is an efficient transformer-based speech recognition model employing Rotary Position Embedding. It reduces compute requirements by 5x compared to Whisper Tiny.en for live transcription without sacrificing accuracy, ideal for real-time use.

🔹 Publication Date: Published on Oct 21, 2024

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2410.15608
• PDF: https://arxiv.org/pdf/2410.15608
• Github: https://github.com/usefulsensors/moonshine

🔹 Models citing this paper:
• https://huggingface.co/UsefulSensors/moonshine
• https://huggingface.co/UsefulSensors/moonshine-base
• https://huggingface.co/UsefulSensors/moonshine-tiny

✨ Spaces citing this paper:
• https://huggingface.co/spaces/microsoft/paza-bench
• https://huggingface.co/spaces/8bitkick/reachy_mini_reactions
• https://huggingface.co/spaces/fastrtc/moonshine-live

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices

📝 Summary:
Flavors of Moonshine are tiny monolingual ASR models for underrepresented languages. They outperform larger multilingual models by using balanced data, achieving 48% lower error rates. This enables accurate on-device speech recognition.

🔹 Publication Date: Published on Sep 2, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.02523
• PDF: https://arxiv.org/pdf/2509.02523
• Github: https://github.com/moonshine-ai/moonshine

🔹 Models citing this paper:
• https://huggingface.co/UsefulSensors/moonshine-tiny-ja
• https://huggingface.co/UsefulSensors/moonshine-tiny-ar
• https://huggingface.co/UsefulSensors/moonshine-tiny-zh

✨ Spaces citing this paper:
• https://huggingface.co/spaces/wmoto-ai/moonshine-tiny-ja-demo

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

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#ASR #EdgeAI #LowResourceLanguages #MachineLearning #TinyML

✨ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

📝 Summary:
ABot-M0 presents a unified framework for embodied agent development that standardizes diverse robotic data and employs action manifold learning to improve prediction efficiency and stability. AI-gener...

🔹 Publication Date: Published on Feb 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.11236
• PDF: https://arxiv.org/pdf/2602.11236
• Project Page: https://amap-cvlab.github.io/ABot-Manipulation
• Github: https://github.com/amap-cvlab/ABot-Manipulation

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨SciAgentGym: Benchmarking Multi-Step Scientific Tool-use in LLM Agents

📝 Summary:
SciAgentGym and SciAgentBench enable evaluation of scientific tool-use capabilities, while SciForge improves agent performance through dependency graph modeling of tool interactions. AI-generated summ...

🔹 Publication Date: Published on Feb 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.12984
• PDF: https://arxiv.org/pdf/2602.12984
• Github: https://github.com/CMarsRover/SciAgentGYM

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching

📝 Summary:
FLAC enables maximum entropy RL for generative policies by regulating stochasticity via kinetic energy. It formulates policy optimization as a Generalized Schrödinger Bridge, avoiding explicit action density estimation while achieving strong performance.

🔹 Publication Date: Published on Feb 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.12829
• PDF: https://arxiv.org/pdf/2602.12829
• Project Page: https://pinkmoon-io.github.io/flac.github.io/

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

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#ReinforcementLearning #MachineLearning #GenerativeAI #OptimalTransport #KineticEnergy

✨TADA! Tuning Audio Diffusion Models through Activation Steering

📝 Summary:
Research reveals that specific attention layers in audio diffusion models control distinct musical concepts, enabling precise manipulation of audio features through activation steering. AI-generated s...

🔹 Publication Date: Published on Feb 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.11910
• PDF: https://arxiv.org/pdf/2602.11910
• Project Page: https://audio-steering.github.io
• Github: https://github.com/luk-st/steer-audio

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

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#AI #DataScience #MachineLearning #HuggingFace #Research