✨FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration

📝 Summary:
FlowPIE is a novel retrieval-generation framework for scientific idea generation. It uses flow-guided Monte Carlo Tree Search for literature exploration and an evolutionary process to produce diverse, high-quality, and novel ideas by integrating cross-domain knowledge.

🔹 Publication Date: Published on Mar 31

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.29557
• PDF: https://arxiv.org/pdf/2603.29557
• Project Page: https://flowpie.wangqiyao.me/
• Github: https://github.com/AIforIP/FlowPIE

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Extend3D: Town-Scale 3D Generation

📝 Summary:
An object-centric 3D generative model is extended with adaptive latent space and iterative refinement to generate complete 3D scenes from single images, incorporating noise-aware completion and 3D-awa...

🔹 Publication Date: Published on Mar 31

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.29387
• PDF: https://arxiv.org/pdf/2603.29387
• Project Page: https://seungwoo-yoon.github.io/extend3d-page/
• Github: https://github.com/SNU-VGILab/Extend3D

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨MMFace-DiT: A Dual-Stream Diffusion Transformer for High-Fidelity Multimodal Face Generation

📝 Summary:
A unified dual-stream diffusion transformer model enables synergistic multimodal face synthesis by jointly processing spatial and semantic tokens through shared attention mechanisms while maintaining ...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.29029
• PDF: https://arxiv.org/pdf/2603.29029
• Project Page: https://vcbsl.github.io/MMFace-DiT/
• Github: https://github.com/Bharath-K3/MMFace-DiT

🔹 Models citing this paper:
• https://huggingface.co/BharathK333/MMFace-DiT-Models

✨ Datasets citing this paper:
• https://huggingface.co/datasets/BharathK333/MMFace-DiT-Datasets

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation

📝 Summary:
This paper explores how much auditory knowledge LLMs acquire from text-only pre-training and its effect on audio language models. They found that auditory knowledge varies substantially and text-only results strongly correlate with audio performance.

🔹 Publication Date: Published on Mar 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.19195
• PDF: https://arxiv.org/pdf/2603.19195
• Project Page: https://kehanlu.github.io/AKB
• Github: https://github.com/kehanlu/AKB

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

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#LLMs #AudioAI #NLP #DeepLearning #AIResearch

✨daVinci-LLM:Towards the Science of Pretraining

📝 Summary:
daVinci-LLM explores pretraining with industrial resources and an open science approach. It demonstrates that data processing depth and adaptive curriculum strategies significantly impact model capabilities, releasing full processes for community advancement.

🔹 Publication Date: Published on Mar 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27164
• PDF: https://arxiv.org/pdf/2603.27164
• Github: https://github.com/GAIR-NLP/daVinci-LLM

🔹 Models citing this paper:
• https://huggingface.co/SII-GAIR-NLP/davinci-llm-model

✨ Datasets citing this paper:
• https://huggingface.co/datasets/SII-GAIR-NLP/davinci-llm-data

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

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#LLM #Pretraining #OpenScience #AI #MachineLearning

✨MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models

📝 Summary:
MonitorBench is a comprehensive benchmark for evaluating LLM chain of thought monitorability. It reveals monitorability decreases when structural reasoning is not required, and both open and closed source models exhibit reduced monitorability under stress testing.

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28590
• PDF: https://arxiv.org/pdf/2603.28590
• Github: https://github.com/ASTRAL-Group/MonitorBench

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

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#MonitorBench #LLM #ChainOfThought #Monitorability #AIResearch

✨PoseDreamer: Scalable and Photorealistic Human Data Generation Pipeline with Diffusion Models

📝 Summary:
PoseDreamer uses diffusion models to generate large-scale, photorealistic synthetic 3D human mesh datasets with improved image quality. Models trained on this data achieve comparable or superior performance to those using real or traditional synthetic datasets, offering a scalable solution.

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28763
• PDF: https://arxiv.org/pdf/2603.28763
• Project Page: https://prosperolo.github.io/posedreamer

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

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#DiffusionModels #SyntheticData #3DGeneration #ComputerVision #AIResearch

✨ArtHOI: Taming Foundation Models for Monocular 4D Reconstruction of Hand-Articulated-Object Interactions

📝 Summary:
ArtHOI presents an optimization-based framework that integrates foundation model priors to reconstruct 4D human-articulated-object interactions from single monocular RGB videos using adaptive sampling...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25791
• PDF: https://arxiv.org/pdf/2603.25791
• Project Page: https://arthoi-reconstruction.github.io/
• Github: https://github.com/hitcs-zikaiwang/ArtHOI-4D-Reconstruction

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

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#4DReconstruction #FoundationModels #ComputerVision #HumanObjectInteraction #AI

✨Distilling Human-Aligned Privacy Sensitivity Assessment from Large Language Models

📝 Summary:
This paper distills large language models into lightweight encoders for efficient privacy evaluation of textual data. These models maintain strong human agreement while significantly reducing computational costs, enabling practical large-scale privacy assessment.

🔹 Publication Date: Published on Mar 31

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.29497
• PDF: https://arxiv.org/pdf/2603.29497
• Github: https://github.com/gabrielloiseau/privacy-distillation

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

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#LLM #Privacy #MachineLearning #NLP #DataScience

✨Ghost-FWL: A Large-Scale Full-Waveform LiDAR Dataset for Ghost Detection and Removal

📝 Summary:
This paper introduces Ghost-FWL, the first large-scale full-waveform LiDAR dataset for ghost point detection and removal. It leverages FWL data and a self-supervised learning approach to significantly improve LiDAR-based SLAM and 3D object detection accuracy by effectively removing false reflecti...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28224
• PDF: https://arxiv.org/pdf/2603.28224
• Project Page: https://keio-csg.github.io/Ghost-FWL/
• Github: https://github.com/Keio-CSG/Ghost-FWL

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

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#LiDAR #GhostDetection #SLAM #3DObjectDetection #SelfSupervisedLearning

✨Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR

📝 Summary:
LLM-based ASR improves with multimodal conversational context, especially for entities. Raw audio context is costly, so Abstract Compression replaces prior-turn audio with fixed latent tokens, retaining transcripts. This reduces computational cost while recovering some performance gains.

🔹 Publication Date: Published on Mar 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.26246
• PDF: https://arxiv.org/pdf/2603.26246

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

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#LLM #ASR #SpeechRecognition #NLP #AI

✨It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal

📝 Summary:
Flicker artifacts in short-exposure photos are addressed by Flickerformer, a transformer-based architecture. It leverages flicker's intrinsic periodicity and directionality to effectively remove artifacts without introducing ghosting, outperforming existing methods.

🔹 Publication Date: Published on Mar 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22794
• PDF: https://arxiv.org/pdf/2603.22794

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

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#ImageProcessing #DeepLearning #ComputerVision #Transformers #FlickerRemoval

✨Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

📝 Summary:
Medical imaging datasets are fragmented and small, limiting foundation model development. This survey of 1000+ open-access datasets proposes a metadata-driven fusion paradigm to integrate them, creating larger resources. This scales medical imaging data for more capable foundation models.

🔹 Publication Date: Published on Mar 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27460
• PDF: https://arxiv.org/pdf/2603.27460
• Project Page: https://huggingface.co/datasets/General-Medical-AI/Project-Imaging-X
• Github: https://github.com/uni-medical/Project-Imaging-X

✨ Datasets citing this paper:
• https://huggingface.co/datasets/General-Medical-AI/Project-Imaging-X

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

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#MedicalImaging #FoundationModels #AI #DataScience #OpenData

✨Falcon Perception

📝 Summary:
Falcon Perception introduces a unified early-fusion Transformer that processes images and text within a single architecture from the first layer. This simplifies perception systems and achieves improved mask prediction and OCR performance, outperforming traditional modular designs.

🔹 Publication Date: Published on Mar 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27365
• PDF: https://arxiv.org/pdf/2603.27365

✨ Datasets citing this paper:
• https://huggingface.co/datasets/tiiuae/PBench

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions

📝 Summary:
A fully automated question-answer based evaluation pipeline and comprehensive benchmark are introduced for assessing creative image manipulation tasks under complex instructions, demonstrating strong ...

🔹 Publication Date: Published on Mar 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.26174
• PDF: https://arxiv.org/pdf/2603.26174
• Github: https://github.com/ChonghuinanWang/CREval

✨ Datasets citing this paper:
• https://huggingface.co/datasets/ChonghuinanWang/CREval

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation

📝 Summary:
A new benchmark called BizGenEval is introduced to evaluate image generation models on commercial visual content creation tasks across multiple document types and capability dimensions. AI-generated s...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25732
• PDF: https://arxiv.org/pdf/2603.25732
• Project Page: https://microsoft.github.io/BizGenEval/
• Github: https://github.com/microsoft/BizGenEval

✨ Datasets citing this paper:
• https://huggingface.co/datasets/microsoft/BizGenEval

✨ Spaces citing this paper:
• https://huggingface.co/spaces/microsoft/BizGenEval-Leaderboard
• https://huggingface.co/spaces/clarence-stark/BizGenEval-Leaderboard

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨TrajectoryMover: Generative Movement of Object Trajectories in Videos

📝 Summary:
TrajectoryAtlas enables generative video editing by generating large-scale synthetic paired video data and training a video generator to move object 3D motion trajectories while preserving plausibilit...

🔹 Publication Date: Published on Mar 31

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.29092
• PDF: https://arxiv.org/pdf/2603.29092
• Project Page: https://chhatrekiran.github.io/trajectorymover/
• Github: https://github.com/kiranchhatre/TrajectoryMover

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos

📝 Summary:
Colon-Bench is a new comprehensive benchmark dataset for colonoscopy AI, created using an agentic workflow. It features 528 full-procedure videos with dense annotations for 14 lesion types, enabling MLLM evaluation and performance improvements.

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25645
• PDF: https://arxiv.org/pdf/2603.25645
• Project Page: https://abdullahamdi.com/colon-bench
• Github: https://github.com/ajhamdi/colon-bench-eval

✨ Datasets citing this paper:
• https://huggingface.co/datasets/ajhamdi/colon-bench

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation

📝 Summary:
WorldFlow3D generates unbounded 3D worlds by modeling 3D data distributions as a flow matching problem. This latent-free approach achieves rapid convergence and high-quality generation with controllable geometric and texture properties. It outperforms existing methods on both real and synthetic s...

🔹 Publication Date: Published on Mar 31

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.29089
• PDF: https://arxiv.org/pdf/2603.29089
• Project Page: https://princeton-computational-imaging.github.io/WorldFlow3D/

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

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#3DGeneration #GenerativeAI #FlowMatching #ComputerGraphics #AIResearch

✨The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning

📝 Summary:
Large language models exhibit systematic reasoning failures when surface cues conflict with feasibility constraints, demonstrating consistent heuristic biases that can be measured and partially mitiga...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.29025
• PDF: https://arxiv.org/pdf/2603.29025

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

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨When Documents Disagree: Measuring Institutional Variation in Transplant Guidance with Retrieval-Augmented Language Models

📝 Summary:
P a t i e n t e d u c a t i o n m a t e r i a l s f o r s o l i d - o r g a n t r a n s p l a n t a t i o n v a r y s u b s t a n t i a l l y a c r o s s U . S . c e n t e r s , y e t n o s y s t e m ...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21460
• PDF: https://arxiv.org/pdf/2603.21460

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

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#AI #DataScience #MachineLearning #HuggingFace #Research