✨Gen-Searcher: Reinforcing Agentic Search for Image Generation

📝 Summary:
A search-augmented image generation agent is presented that performs multi-hop reasoning and search to collect textual knowledge and reference images for grounded generation, trained with supervised f...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28767
• PDF: https://arxiv.org/pdf/2603.28767
• Project Page: https://gen-searcher.vercel.app/
• Github: https://github.com/tulerfeng/Gen-Searcher

🔹 Models citing this paper:
• https://huggingface.co/GenSearcher/Gen-Searcher-8B
• https://huggingface.co/GenSearcher/Gen-Searcher-SFT-8B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/GenSearcher/KnowGen-Bench
• https://huggingface.co/datasets/GenSearcher/Train-Data

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

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✨GEditBench v2: A Human-Aligned Benchmark for General Image Editing

📝 Summary:
A new benchmark and evaluation model for image editing are introduced to better assess visual consistency and human alignment in complex editing tasks. AI-generated summary Recent advances in image ed...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28547
• PDF: https://arxiv.org/pdf/2603.28547

🔹 Models citing this paper:
• https://huggingface.co/GEditBench-v2/PVC-Judge

✨ Datasets citing this paper:
• https://huggingface.co/datasets/GEditBench-v2/VCReward-Bench
• https://huggingface.co/datasets/GEditBench-v2/GEditBench-v2
• https://huggingface.co/datasets/GEditBench-v2/GEditBench-v2-CandidatesGallery

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

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✨Make Geometry Matter for Spatial Reasoning

📝 Summary:
GeoSR enhances vision-language models' spatial reasoning capabilities by strategically incorporating geometry tokens through masking and guided fusion mechanisms. AI-generated summary Empowered by lar...

🔹 Publication Date: Published on Mar 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.26639
• PDF: https://arxiv.org/pdf/2603.26639
• Project Page: https://suhzhang.github.io/GeoSR/
• Github: https://suhzhang.github.io/GeoSR/

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

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✨PRBench: End-to-end Paper Reproduction in Physics Research

📝 Summary:
PRBench evaluates AI agents' ability to reproduce scientific research by requiring them to implement algorithms from published papers and match original results, revealing significant challenges in fo...

🔹 Publication Date: Published on Mar 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27646
• PDF: https://arxiv.org/pdf/2603.27646
• Project Page: https://prbench.phybench.cn/

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

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✨ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning

📝 Summary:
ResAdapt is an input-side adaptation framework that dynamically allocates visual resources to improve multimodal large language models' efficiency in video tasks while maintaining high performance. AI...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28610
• PDF: https://arxiv.org/pdf/2603.28610
• Project Page: https://xnhyacinth.github.io/projects/ResAdapt/
• Github: https://github.com/Xnhyacinth/ResAdapt

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

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✨Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design

📝 Summary:
A verification-centric framework for deep research agents improves performance on complex benchmarks by incorporating error checking at multiple stages of development and inference. AI-generated summa...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28376
• PDF: https://arxiv.org/pdf/2603.28376
• Github: https://github.com/AIDC-AI/Marco-DeepResearch

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

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✨MuSEAgent: A Multimodal Reasoning Agent with Stateful Experiences

📝 Summary:
MuSEAgent enhances multimodal reasoning through stateful experience learning that abstracts interactions into decision experiences for improved policy-driven retrieval and adaptive search strategies. ...

🔹 Publication Date: Published on Mar 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27813
• PDF: https://arxiv.org/pdf/2603.27813
• Github: https://github.com/DeepExperience/MuSEAgent

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

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✨Density-aware Soft Context Compression with Semi-Dynamic Compression Ratio

📝 Summary:
A density-aware dynamic compression framework for large language models that uses a discrete ratio selector to adaptively compress contexts based on information density, outperforming static methods i...

🔹 Publication Date: Published on Mar 26

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.25926
• PDF: https://arxiv.org/pdf/2603.25926
• Github: https://github.com/yuyijiong/semi-dynamic-context-compress

🔹 Models citing this paper:
• https://huggingface.co/yuyijiong/qwen3-semi-dynamic-soft-context-compress

✨ Datasets citing this paper:
• https://huggingface.co/datasets/yuyijiong/context_qa_sum_qwen3_synthetic

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

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✨DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing

📝 Summary:
DreamLite is a compact unified on-device diffusion model that supports both text-to-image generation and text-guided image editing with efficient training and inference. AI-generated summary Diffusion...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28713
• PDF: https://arxiv.org/pdf/2603.28713
• Project Page: https://carlofkl.github.io/dreamlite/

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

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✨Story2Proposal: A Scaffold for Structured Scientific Paper Writing

📝 Summary:
Story2Proposal is a contract-governed multi-agent framework that generates structured scientific manuscripts with improved consistency and visual alignment through coordinated agents operating under a...

🔹 Publication Date: Published on Mar 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27065
• PDF: https://arxiv.org/pdf/2603.27065

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

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✨Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling

📝 Summary:
Cellular signaling records are transformed into GPS trajectories through map-visual video generation, achieving superior performance over traditional methods while maintaining scalability and cross-ci...

🔹 Publication Date: Published on Mar 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.26610
• PDF: https://arxiv.org/pdf/2603.26610

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

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✨Superintelligence and Law

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

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28669
• PDF: https://arxiv.org/pdf/2603.28669

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

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✨HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

📝 Summary:
HISA improves sparse attention efficiency by replacing the traditional indexer with a hierarchical approach that reduces computational complexity from O(L²) to sub-quadratic scaling while maintaining ...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28458
• PDF: https://arxiv.org/pdf/2603.28458

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

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✨MolmoPoint: Better Pointing for VLMs with Grounding Tokens

📝 Summary:
A vision-language model approach for grounding that directly selects visual tokens containing target concepts through specialized pointing tokens, achieving superior performance in image, GUI, video p...

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28069
• PDF: https://arxiv.org/pdf/2603.28069

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

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✨MOOZY: A Patient-First Foundation Model for Computational Pathology

📝 Summary:
A patient-first pathology foundation model named MOOZY uses a case transformer to model dependencies across multiple slides from the same patient, achieving superior performance on diverse clinical ta...

🔹 Publication Date: Published on Mar 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27048
• PDF: https://arxiv.org/pdf/2603.27048
• Project Page: https://atlasanalyticslab.github.io/MOOZY/
• Github: https://github.com/AtlasAnalyticsLab/MOOZY

🔹 Models citing this paper:
• https://huggingface.co/AtlasAnalyticsLab/MOOZY

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

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✨EpochX: Building the Infrastructure for an Emergent Agent Civilization

📝 Summary:
EpochX is a credits-native marketplace infrastructure designed for human-agent production networks. It enables scalable task delegation and verification, generating reusable skills and workflows. This system fosters cumulative improvement and durable human-agent collaboration through economic inc...

🔹 Publication Date: Published on Mar 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27304
• PDF: https://arxiv.org/pdf/2603.27304
• Project Page: https://epochx.cc
• Github: https://github.com/QuantaAlpha/EpochX

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#AIAgents #HumanAICooperation #AIInfrastructure #AIEconomics #EmergentAI

✨On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers

📝 Summary:
Diffusion transformers often lack visual diversity. This paper introduces on-the-fly repulsion in the contextual space to enhance diversity. It intervenes in multimodal attention during the forward pass, yielding rich outcomes without losing quality or efficiency.

🔹 Publication Date: Published on Mar 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.28762
• PDF: https://arxiv.org/pdf/2603.28762
• Project Page: https://contextual-repulsion.github.io/

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#DiffusionModels #DeepLearning #GenerativeAI #ComputerVision #AIResearch

✨SEAR: Schema-Based Evaluation and Routing for LLM Gateways

📝 Summary:
SEAR is a schema-based system for evaluating and routing LLM responses in gateways. It uses structured signals from LLM reasoning to make accurate, interpretable decisions, unifying evaluation and routing. It achieved significant cost reductions with comparable quality in production.

🔹 Publication Date: Published on Mar 20

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.26728
• PDF: https://arxiv.org/pdf/2603.26728
• Project Page: https://www.strukto.ai/

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

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#LLM #AIGateways #AIEvaluation #AIRouting #MachineLearning

✨TAPS: Task Aware Proposal Distributions for Speculative Sampling

📝 Summary:
Speculative decoding quality depends on matching draft model training data to the downstream task. Task-specific training yields specialized drafters that are best combined at inference time using confidence-based routing, outperforming averaging. Confidence is a more effective routing signal tha...

🔹 Publication Date: Published on Mar 27

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27027
• PDF: https://arxiv.org/pdf/2603.27027
• Github: https://github.com/Moe-Zbeeb/TAPS

🔹 Models citing this paper:
• https://huggingface.co/zbeeb/Hass-MathInstruct_20epochs
• https://huggingface.co/zbeeb/Hass-ShareGPT_20epochs
• https://huggingface.co/zbeeb/Hass-Sharegpt-Mathinstruct-20epochs

✨ Datasets citing this paper:
• https://huggingface.co/datasets/zbeeb/TAPS-Datasets

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#SpeculativeDecoding #LLM #MachineLearning #AIResearch #NLP

✨KAT-Coder-V2 Technical Report

📝 Summary:
KAT-Coder-V2 is an agentic coding model that uses a 'Specialize-then-Unify' approach across five expert domains. It employs novel training methods and infrastructure, achieving strong performance on SWE-bench, PinchBench, and other coding benchmarks.

🔹 Publication Date: Published on Mar 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.27703
• PDF: https://arxiv.org/pdf/2603.27703

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

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#AI #Coding #LLM #MachineLearning #Research