✨Automatic detection of Gen-AI texts: A comparative framework of neural models

📝 Summary:
This paper compares neural models for detecting AI-generated text. It found that supervised machine learning detectors achieved more stable and robust performance than commercial tools across different languages and domains.

🔹 Publication Date: Published on Mar 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.18750
• PDF: https://arxiv.org/pdf/2603.18750
• Project Page: https://huggingface.co/datasets/cristian03/ARTandMH
• Github: https://github.com/cristian03git/DETECTION_GENAI

✨ Datasets citing this paper:
• https://huggingface.co/datasets/cristian03/ARTandMH

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

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#GenAI #AIDetection #MachineLearning #NeuralNetworks #NLP

✨From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering

📝 Summary:
This paper shifts VLM image tampering detection from coarse object masks to pixel-level analysis with semantic understanding. It introduces a new taxonomy, benchmark, and metrics to evaluate both localization accuracy and the meaning of image modifications. This offers a more rigorous standard fo...

🔹 Publication Date: Published on Mar 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.20193
• PDF: https://arxiv.org/pdf/2603.20193
• Github: https://github.com/VILA-Lab/PIXAR

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#VLM #ImageTampering #DeepfakeDetection #ComputerVision #AIResearch

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✨LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning

📝 Summary:
LongCat-Flash-Prover is a 560B MoE model advancing Lean4 formal reasoning using agentic tool integration. It employs a hybrid framework and hierarchical policy optimization for stable training. It achieves state-of-the-art results, including 97.1% on MiniF2F-Test and improved performance on Prove...

🔹 Publication Date: Published on Mar 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21065
• PDF: https://arxiv.org/pdf/2603.21065
• Project Page: https://github.com/meituan-longcat/LongCat-Flash-Prover
• Github: https://github.com/meituan-longcat/LongCat-Flash-Prover

🔹 Models citing this paper:
• https://huggingface.co/meituan-longcat/LongCat-Flash-Prover

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨mSFT: Addressing Dataset Mixtures Overfiting Heterogeneously in Multi-task SFT

📝 Summary:
Multi-task supervised fine-tuning with heterogeneous learning dynamics benefits from an iterative overfitting-aware search algorithm that improves performance across diverse datasets and compute budge...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21606
• PDF: https://arxiv.org/pdf/2603.21606
• Github: https://github.com/reiss-koh/msft

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨ToolRosetta: Bridging Open-Source Repositories and Large Language Model Agents through Automated Tool Standardization

📝 Summary:
R e u s i n g a n d i n v o k i n g e x i s t i n g c o d e r e m a i n s c o s t l y a n d u n r e l i a b l e , a s m o s t p r a c t i c a l t o o l s a r e e m b e d d e d i n h e t e r o g e n e ...

🔹 Publication Date: Published on Mar 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.09290
• PDF: https://arxiv.org/pdf/2603.09290
• Project Page: https://sdiaa.tech/projects

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

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#LLMAgents #OpenSource #ToolStandardization #AIResearch #DataScience

✨PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

📝 Summary:
PowerInfer, a high-speed LLM inference engine for personal computers, enhances efficiency using hotspot neuron analysis, GPU-CPU hybrid computation, adaptive predictors, and neuron-aware sparse operat...

🔹 Publication Date: Published on Dec 16, 2023

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2312.12456
• PDF: https://arxiv.org/pdf/2312.12456
• Github: https://github.com/sjtu-ipads/powerinfer

🔹 Models citing this paper:
• https://huggingface.co/SparseLLM/prosparse-llama-2-7b
• https://huggingface.co/openbmb/MiniCPM-S-1B-sft
• https://huggingface.co/openbmb/MiniCPM-S-1B-sft-gguf

✨ Spaces citing this paper:
• https://huggingface.co/spaces/FallnAI/Quantize-HF-Models
• https://huggingface.co/spaces/openfree/LLM_Quantization
• https://huggingface.co/spaces/seawolf2357/LLM_Quantization

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨VideoDetective: Clue Hunting via both Extrinsic Query and Intrinsic Relevance for Long Video Understanding

📝 Summary:
VideoDetective framework improves long video understanding by integrating query-to-segment relevance and inter-segment affinity through visual-temporal graphs and hypothesis verification loops. AI-gen...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2603.22285
• PDF: https://arxiv.org/pdf/2603.22285
• Project Page: https://videodetective.github.io/
• Github: https://github.com/yangruoliu/VideoDetective

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model

📝 Summary:
daVinci-MagiHuman is an open-source audio-video generative model using a single-stream Transformer for synchronized content from text. It achieves high-quality, human-centric generation with efficient inference and strong evaluation results against leading models.

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21986
• PDF: https://arxiv.org/pdf/2603.21986
• Project Page: https://huggingface.co/spaces/SII-GAIR/daVinci-MagiHuman
• Github: https://github.com/GAIR-NLP/daVinci-MagiHuman

🔹 Models citing this paper:
• https://huggingface.co/GAIR/daVinci-MagiHuman

✨ Spaces citing this paper:
• https://huggingface.co/spaces/SII-GAIR/daVinci-MagiHuman

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

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#GenerativeAI #AudioVideoAI #FoundationModels #DeepLearning #AIResearch

✨On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation

📝 Summary:
Reinforcement learning with verifiable rewards improves language model reasoning by focusing on the direction of parameter updates rather than their magnitude, enabling better test-time extrapolation ...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22117
• PDF: https://arxiv.org/pdf/2603.22117
• Project Page: https://qwen-pilot.notion.site/rlvr-direction
• Github: https://github.com/Hesse73/RLVR-Directions

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost

📝 Summary:
PivotRL is a novel framework that combines supervised fine-tuning efficiency with reinforcement learning generalization by using local rollouts and functional-equivalent action rewards to achieve bett...

🔹 Publication Date: Published on Mar 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21383
• PDF: https://arxiv.org/pdf/2603.21383

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨WorldCache: Content-Aware Caching for Accelerated Video World Models

📝 Summary:
WorldCache improves diffusion transformer inference by adaptively reusing features through motion-adaptive thresholds and saliency-weighted drift estimation, achieving faster processing with minimal q...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22286
• PDF: https://arxiv.org/pdf/2603.22286
• Project Page: https://umair1221.github.io/World-Cache/
• Github: https://github.com/umair1221/WorldCache

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨MemDLM: Memory-Enhanced DLM Training

📝 Summary:
MemDLM addresses the train-inference mismatch in diffusion language models by incorporating a bi-level optimization framework with parametric memory that enhances both training efficiency and inferenc...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22241
• PDF: https://arxiv.org/pdf/2603.22241
• Project Page: https://github.com/JarvisPei/MemDLM
• Github: https://github.com/JarvisPei/MemDLM

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation

📝 Summary:
Perceptio enhances vision-language models with explicit spatial reasoning through integrated semantic segmentation and depth tokens generated via VQ-VAE distillation and multi-task learning. AI-genera...

🔹 Publication Date: Published on Mar 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.18795
• PDF: https://arxiv.org/pdf/2603.18795

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference

📝 Summary:
AnimalCLAP is a taxonomy-aware language-audio framework that uses hierarchical biological information to improve species classification from vocalizations, achieving better performance than CLAP by le...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22053
• PDF: https://arxiv.org/pdf/2603.22053
• Project Page: https://dahlian00.github.io/AnimalCLAP_Page/

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Effective Strategies for Asynchronous Software Engineering Agents

📝 Summary:
Multi-agent collaboration for software engineering tasks faces challenges in coordination and synchronization, which are addressed through a structured paradigm using centralized delegation, asynchron...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21489
• PDF: https://arxiv.org/pdf/2603.21489
• Github: https://github.com/JiayiGeng/CAID

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Agentic AI and the next intelligence explosion

📝 Summary:
T h e " A I s i n g u l a r i t y " i s o f t e n m i s c a s t a s a m o n o l i t h i c , g o d l i k e m i n d . E v o l u t i o n s u g g e s t s a d i f f e r e n t p a t h : i n t e l l i g e n ...

🔹 Publication Date: Published on Mar 21

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.20639
• PDF: https://arxiv.org/pdf/2603.20639

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

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✨Understanding Behavior Cloning with Action Quantization

📝 Summary:
Behavior cloning with quantized actions in autoregressive models achieves optimal sample complexity under stability and smoothness conditions, with quantization error affecting horizon-dependent perfo...

🔹 Publication Date: Published on Mar 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.20538
• PDF: https://arxiv.org/pdf/2603.20538

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Scaling DoRA: High-Rank Adaptation via Factored Norms and Fused Kernels

📝 Summary:
High-rank DoRA is improved by addressing its memory and speed limitations. The paper introduces a factored norm decomposition and fused Triton kernels. This makes DoRA faster for inference and training, reduces memory usage, and maintains high accuracy across vision-language models.

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22276
• PDF: https://arxiv.org/pdf/2603.22276
• Github: https://github.com/sockeye44/dorafactors

✨ Datasets citing this paper:
• https://huggingface.co/datasets/eyes-ml/MMFineReason-SFT-123K-Qwen3-VL-235B-Thinking-QR-max4096

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Group3D: MLLM-Driven Semantic Grouping for Open-Vocabulary 3D Object Detection

📝 Summary:
Group3D is a multi-view open-vocabulary 3D detection framework that integrates semantic constraints into instance construction through semantic compatibility groups, improving accuracy in pose-known a...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21944
• PDF: https://arxiv.org/pdf/2603.21944
• Project Page: https://ubin108.github.io/Group3D/
• Github: https://github.com/Ubin108/Group3D

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

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#AI #DataScience #MachineLearning #HuggingFace #Research