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...