Author

Meng-Ting Ai

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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

#machine learning Preprint Sep 2026

Harnessing Image Question Dependence for Better VLM Test-time Reinforcement Learning

Test-time reinforcement learning can adapt vision-language models (VLMs) to unlabeled target data, but its effectiveness is fundamentally limited by the reliability of self-generated learning signals. To assess the reliability of consensus-based learning signals, we analyze VLM test-time reinforcement learning across d...

Xinrui He, Ting-Wei Li, Jun-Ting Wang et al. · 0 citations

#natural language process... Review Apr 2026

MedConceal: A Benchmark for Clinical Hidden-Concern Reasoning Under Partial Observability

MedConceal, a benchmark with an interactive patient simulator for evaluating hidden-concern reasoning in medical dialogue, comprising 300 curated cases and 600 clinician-LLM interactions is presented, identifying hidden-concern reasoning under partial observability as a key unresolved challenge for medical dialogue sys...

Yikun Han, Joey Chan, Jingyuan Chen et al. · arXiv.org · 1 citation