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Fengqi Zhu

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Book Open access Jul 2026

DLLM-Searcher: Adapting Diffusion Language Model for Efficient Search Agents

DLLM-Searcher is proposed, an optimization framework for dLLM-based Search Agents that designs a two-stage post-training pipeline encompassing Agentic Supervised Fine-Tuning and Agentic Variance-Reduced Preference Optimization (Agentic VRPO), which enhances the backbone dLLM's information seeking and reasoning capabili...

Jiahao Zhao, Shaoxuan Xu, ZhongXiang Sun et al. · 0 citations
Preprint Aug 2026

LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models

This work systematically characterize how optimization hyperparameters, compute allocation, and architecture scale for MoE dLLMs, identifying quantitative differences from scaling trends previously reported for AR models.

Fengqi Zhu, Shaoxuan Xu, Jingyang Ou et al. · 1 citation

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