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Matching papers

LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes

227 upvotes · 3 SEP 2026 · Chuyan Chen, Haoxing Chen, Kun Chen et al.

This paper introduces a new framework for building strong image generators that can produce highly photorealistic images while accurately following editing instructions. Practitioners might care about the potential applications of this framework in fields like computer vision, graphics, and art.

image generationdiffusion modelstransformersvision-language understandingopen-source models

From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search

64 upvotes · 27 JUL 2026 · Junlin Liu, Jiangwang Chen, Zixin Song et al.

This paper proposes a new method to improve the performance of large language models on knowledge-intensive tasks by distilling knowledge from proprietary models and using reinforcement learning. Practitioners may care about this approach because it can help bridge the gap between proprietary and open-source models, leading to more effective and robust AI systems.

agentic searchknowledge distillationmulti-agent systemsreinforcement learningopen-source models