Author

Dongqi Fu

2 papers indexed here

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#artificial intelligence Review Jan 2026

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents

This survey synthesizes agentic reasoning methods into a unified roadmap bridging thought and action, and outlines open challenges and future directions, including personalization, long-horizon interaction, world modeling, scalable multi-agent training, and governance for real-world deployment.

Tian-Xin Wei, Ting-Wei Li, Zhining Liu et al. · 39 citations · ⚡6

#artificial intelligence Preprint Sep 2026

Predict, Don't Iterate: Efficient Adaptive-Length Infilling for Diffusion Language Models

PILL (Probing-based InfiLling with preset-Length-free decoding), an efficient infilling method for DLMs that requires no preset initial length and adds far fewer extra forward passes than baselines, substantially reducing inference time is proposed.

Hao-Bo Xu, Si-Rui Chen, Yuanchen Bei et al. · 3 citations