Author

Ya-Lun Wu

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Sep 2026

The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?

It is found that reporting reliability depends on the stage a task has reached, and that almost every deployed model the authors test is reliable at some stages and unreliable at others, indicating that agent frameworks should not control task flow on the strength of the model's state reports alone.

Bo-Yang Wang, Yun-Han Wang, Ya-Lun Wu · 0 citations

#artificial intelligence Preprint Sep 2026

FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models

The proposed FLY-EVAL++ is an evidence-driven evaluation protocol that combines deterministic verification of protocol compliance, physical feasibility, and safety constraints with fixed rubric-guided aggregation into interpretable multi-dimensional scores.

Ya-Lun Wu, Jun-Feng Fang, Jia-Wei Wang et al. · 0 citations