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cs.SE2026
The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?
Boyang Wang, Yunhan Wang, Yalun Wu
Recent large language models can emit task-progress signals that agent frameworks use to decide whether a task should continue or stop, yet whether a model can reliably report its…
cs.AI2026
FLY-EVAL++: An Evidence-Driven Evaluation Protocol for Safety-Constrained Flight Prediction with Large Language Models
Yalun Wu, Junfeng Fang, Jiawei Wang +6
Evaluating large language models (LLMs) in safety-critical, physics-governed environments requires more than accuracy-based metrics, because predictions that are numerically close…