✨RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment

📝 Summary:
RAISE is a training-free, requirement-driven evolutionary framework that adaptively improves text-to-image generation by dynamically allocating computational resources based on prompt complexity throu...

🔹 Publication Date: Published on Feb 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.00483
• PDF: https://arxiv.org/pdf/2603.00483
• Github: https://github.com/LiyaoJiang1998/RAISE

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✨CharacterFlywheel: Scaling Iterative Improvement of Engaging and Steerable LLMs in Production

📝 Summary:
CharacterFlywheel is an iterative optimization process that enhances large language models for social chat applications through multiple generations of refinement, achieving significant improvements i...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01973
• PDF: https://arxiv.org/pdf/2603.01973

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✨Agentic Code Reasoning

📝 Summary:
LLM agents can perform code reasoning tasks like patch verification, fault localization, and code QA with improved accuracy through structured semi-formal reasoning that requires explicit premises and...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01896
• PDF: https://arxiv.org/pdf/2603.01896

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✨FireRed-OCR Technical Report

📝 Summary:
FireRed-OCR transforms general vision-language models into specialized OCR systems through structured data synthesis and progressive training strategies. AI-generated summary We present FireRed-OCR, a...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01840
• PDF: https://arxiv.org/pdf/2603.01840
• Github: https://github.com/FireRedTeam/FireRed-OCR

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✨MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

📝 Summary:
MMR-Life is a new benchmark assessing multimodal large language models reasoning across real-life scenarios using diverse multi-image questions. It features 2,646 questions on 19,108 real-world images covering seven reasoning types. Top models like GPT-5 only achieve 58 percent accuracy, showing ...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.02024
• PDF: https://arxiv.org/pdf/2603.02024
• Project Page: https://mmr-life-bench.github.io/
• Github: https://github.com/BugMakerzzz/MMR-Life

✨ Datasets citing this paper:
• https://huggingface.co/datasets/Septzzz/MMR-Life

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✨CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification

📝 Summary:
CoVe is a post-training data synthesis framework that generates high-quality training trajectories for interactive tool-use agents by incorporating task constraints as verification mechanisms, achievi...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01940
• PDF: https://arxiv.org/pdf/2603.01940
• Project Page: https://cove-agent.github.io

🔹 Models citing this paper:
• https://huggingface.co/Zichen1024/CoVe-4B

✨ Datasets citing this paper:
• https://huggingface.co/datasets/Zichen1024/CoVe-12k

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✨Learn Hard Problems During RL with Reference Guided Fine-tuning

📝 Summary:
Reference-Guided Fine-Tuning (ReGFT) addresses reward sparsity in reinforcement learning for mathematical reasoning by using human-written solutions to create guided training trajectories that improve...

🔹 Publication Date: Published on Mar 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01223
• PDF: https://arxiv.org/pdf/2603.01223

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✨Tool Verification for Test-Time Reinforcement Learning

📝 Summary:
Test-time reinforcement learning with tool verification addresses consensus bias in large reasoning models by using external validation to improve reward estimation and model stability. AI-generated s...

🔹 Publication Date: Published on Mar 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.02203
• PDF: https://arxiv.org/pdf/2603.02203

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✨ArtLLM: Generating Articulated Assets via 3D LLM

📝 Summary:
ArtLLM generates articulated 3D assets from meshes using a 3D multimodal large language model that predicts part layouts and joints while synthesizing high-fidelity geometries. AI-generated summary Cr...

🔹 Publication Date: Published on Mar 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.01142
• PDF: https://arxiv.org/pdf/2603.01142

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✨MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

📝 Summary:
Current video generation models struggle with microscale simulation tasks, prompting the development of MicroVerse, a specialized video generation model trained on expert-verified simulation data to a...

🔹 Publication Date: Published on Feb 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.00585
• PDF: https://arxiv.org/pdf/2603.00585

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