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ML Research Hub

Advancing research in Machine Learning – practical insights, tools, and techniques for researchers. Admin: @HusseinSheikho || @Hussein_Sheikho

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ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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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129

ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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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107

ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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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Apr 2, 2026, 07:28 AM

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✨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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Apr 2, 2026, 07:28 AM

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✨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

124

ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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

ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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

197

ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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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ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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

152

ML Research Hub

Apr 2, 2026, 07:28 AM

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✨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

ML Research Hub

Mar 27, 2026, 03:32 PM

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✨Vega: Learning to Drive with Natural Language Instructions

📝 Summary:
Vega is a unified Vision-Language-World-Action model that combines autoregressive and diffusion paradigms for instruction-based driving planning and trajectory generation. AI-generated summary Vision-...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25741
• PDF: https://arxiv.org/pdf/2603.25741
• Project Page: https://zuosc19.github.io/Vega/

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Mar 27, 2026, 03:32 PM

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✨Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

📝 Summary:
Intern-S1-Pro is a one-trillion-parameter scientific multimodal foundation model that enhances general and scientific capabilities through advanced agent functionalities and specialized task mastery a...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25040
• PDF: https://arxiv.org/pdf/2603.25040

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Mar 27, 2026, 03:32 PM

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✨Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

📝 Summary:
LGTM is a feed-forward framework that enables high-fidelity 4K novel view synthesis by predicting compact Gaussian primitives with per-primitive textures, decoupling geometric complexity from renderin...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25745
• PDF: https://arxiv.org/pdf/2603.25745
• Project Page: https://yxlao.github.io/lgtm/

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ML Research Hub

Mar 27, 2026, 03:32 PM

✨Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

📝 Summary:
LGTM is a feed-forward framework that enables high-fidelity 4K novel view synthesis by predicting compact Gaussian primitives with per-primitive textures, decoupling geometric complexity from renderin...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25745
• PDF: https://arxiv.org/pdf/2603.25745
• Project Page: https://yxlao.github.io/lgtm/

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Mar 27, 2026, 03:32 PM

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✨MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens

📝 Summary:
Memory Sparse Attention (MSA) enables large language models to process extremely long contexts with linear complexity and high efficiency through innovations like sparse attention and document-wise Ro...

🔹 Publication Date: Published on Mar 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23516
• PDF: https://arxiv.org/pdf/2603.23516
• Project Page: https://evermind.ai/blogs/breaking-the-100m-token-limit-msa-architecture-achieves-efficient-end-to-end-long-term-memory-for-llms
• Github: https://github.com/EverMind-AI/MSA

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ML Research Hub

Mar 27, 2026, 03:32 PM

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✨Voxtral TTS

📝 Summary:
Voxtral TTS is a multilingual text-to-speech model that generates natural speech from short reference audio using a hybrid architecture combining semantic token generation and flow-matching for acoust...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25551
• PDF: https://arxiv.org/pdf/2603.25551
• Project Page: https://mistral.ai/news/voxtral-tts

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Mar 27, 2026, 03:32 PM

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✨Internal Safety Collapse in Frontier Large Language Models

📝 Summary:
Frontier LLMs suffer Internal Safety Collapse, continuously generating harmful content under specific task conditions, even for benign tasks. A new framework triggers this vulnerability, yielding 95% safety failure rates and revealing inherent unsafe capabilities despite alignment efforts.

🔹 Publication Date: Published on Mar 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23509
• PDF: https://arxiv.org/pdf/2603.23509
• Project Page: https://wuyoscar.github.io/ISC-Bench
• Github: https://github.com/wuyoscar/ISC-Bench

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#AISafety #LLM #AIAlignment #MachineLearning #AIResearch

106

ML Research Hub

Mar 27, 2026, 03:32 PM

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✨MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data

📝 Summary:
To advance multi-reference image generation, this paper introduces MacroData, a large-scale dataset providing structured long-context supervision. It also proposes MacroBench, a standardized benchmark for evaluation. Fine-tuning on MacroData significantly improves generation performance.

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25319
• PDF: https://arxiv.org/pdf/2603.25319
• Project Page: https://macro400k.github.io/
• Github: https://github.com/HKU-MMLab/Macro

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Mar 27, 2026, 03:32 PM

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✨SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks

📝 Summary:
Software development is iterative, yet agentic coding benchmarks overwhelmingly evaluate single-shot solutions against complete specifications. Code can pass the test suite but become progressively ha...

🔹 Publication Date: Published on Mar 25

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.24755
• PDF: https://arxiv.org/pdf/2603.24755
• Project Page: https://www.scbench.ai/
• Github: https://github.com/SprocketLab/slop-code-bench

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#AICoding #Benchmarking #LLMAgents #SoftwareEngineering #CodeGeneration

ML Research Hub

Mar 27, 2026, 03:32 PM

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✨Monetize Your Telegram Channel (Daily) — Without Complex Setup

📝 Summary:
Looking for a way to turn your Telegram audience into real income *safely*—without complicated configurations or risky “tricks”? This guide breaks down a simple approach to make it work consistently.

🔹 Learn more here:
👉 https://inside.ad/+vzjOe2

#ad 📢 https://t.me/InsideAds_bot

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ML Research Hub

Mar 25, 2026, 12:39 PM

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✨Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing

📝 Summary:
AutoGaze is a lightweight module that reduces redundant video patches before processing by vision transformers or multi-modal large language models, enabling efficient processing of long, high-resolut...

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.12254
• PDF: https://arxiv.org/pdf/2603.12254
• Project Page: https://autogaze.github.io/
• Github: https://github.com/NVlabs/AutoGaze

🔹 Models citing this paper:
• https://huggingface.co/nvidia/NVILA-8B-HD-Video
• https://huggingface.co/nvidia/AutoGaze

✨ Datasets citing this paper:
• https://huggingface.co/datasets/bfshi/HLVid

✨ Spaces citing this paper:
• https://huggingface.co/spaces/bfshi/AutoGaze

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Mar 25, 2026, 12:39 PM

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✨MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation

📝 Summary:
A new benchmark and evaluation method for multi-subject image generation that identifies and analyzes cross-subject attribute misbinding failures not detected by traditional metrics. AI-generated summ...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.21937
• PDF: https://arxiv.org/pdf/2603.21937

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Mar 25, 2026, 12:39 PM

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✨ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment

📝 Summary:
ABot-PhysWorld is a 14B Diffusion Transformer model that generates physically plausible videos through physics-aware training and evaluation on a new benchmark. AI-generated summary Video-based world ...

🔹 Publication Date: Published on Mar 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23376
• PDF: https://arxiv.org/pdf/2603.23376
• Github: https://github.com/amap-cvlab/ABot-PhysWorld

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ML Research Hub

Mar 25, 2026, 12:39 PM

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✨Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought

📝 Summary:
Researchers developed a token-level reinforcement learning method called PEPO that improves multimodal chain-of-thought reasoning by distinguishing visual grounding from inference through perception-e...

🔹 Publication Date: Published on Mar 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22847
• PDF: https://arxiv.org/pdf/2603.22847
• Github: https://github.com/xzxxntxdy/PEPO

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ML Research Hub

Mar 25, 2026, 12:39 PM

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✨UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation

📝 Summary:
A unified reinforcement learning framework is proposed for interleaved text and image generation, using GRPO and FlowGRPO with modifications to enable scalable multi-round generation. AI-generated sum...

🔹 Publication Date: Published on Mar 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23500
• PDF: https://arxiv.org/pdf/2603.23500

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ML Research Hub

Mar 25, 2026, 12:39 PM

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✨SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning

📝 Summary:
SpecEyes accelerates agentic multimodal large language models by using a lightweight speculative planner with cognitive gating and heterogeneous parallel processing to reduce latency and improve throu...

🔹 Publication Date: Published on Mar 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23483
• PDF: https://arxiv.org/pdf/2603.23483
• Github: https://github.com/MAC-AutoML/SpecEyes

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Mar 25, 2026, 12:39 PM

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✨PEARL: Personalized Streaming Video Understanding Model

📝 Summary:
Personalized streaming video understanding addresses real-time visual input processing with precise temporal annotations, enabling interactive AI assistants through a new benchmark and plug-and-play s...

🔹 Publication Date: Published on Mar 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.20422
• PDF: https://arxiv.org/pdf/2603.20422
• Github: https://github.com/Yuanhong-Zheng/PEARL

✨ Datasets citing this paper:
• https://huggingface.co/datasets/zyh200727/PEARL-Data

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ML Research Hub

Mar 25, 2026, 12:39 PM

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✨WildWorld: A Large-Scale Dataset for Dynamic World Modeling with Actions and Explicit State toward Generative ARPG

📝 Summary:
WildWorld is a large-scale dataset for action-conditioned world modeling that provides explicit state annotations from a photorealistic game, enabling better understanding of latent-state dynamics and...

🔹 Publication Date: Published on Mar 24

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.23497
• PDF: https://arxiv.org/pdf/2603.23497
• Project Page: https://shandaai.github.io/wildworld-project/

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ML Research Hub

Mar 25, 2026, 12:39 PM

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✨AgentSLR: Automating Systematic Literature Reviews in Epidemiology with Agentic AI

📝 Summary:
Large language models can automate systematic literature reviews with human-level performance while reducing review time from weeks to hours. AI-generated summary Systematic literature reviews are ess...

🔹 Publication Date: Published on Mar 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22327
• PDF: https://arxiv.org/pdf/2603.22327
• Project Page: https://oxrml.com/agent-slr/
• Github: https://github.com/OxRML/AgentSLR

✨ Datasets citing this paper:
• https://huggingface.co/datasets/OxRML/AgentSLR

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ML Research Hub

Mar 25, 2026, 12:39 PM

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✨From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents

📝 Summary:
LLM-based systems use executable workflows that interleave various computational components, with recent approaches organized by workflow structure determination timing and optimization dimensions. AI...

🔹 Publication Date: Published on Mar 23

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.22386
• PDF: https://arxiv.org/pdf/2603.22386
• Github: https://github.com/IBM/awesome-agentic-workflow-optimization

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