1 citations · 1 across the 5 of their papers we have counts for
5 papers
PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
Minghao Yan, Bo Peng, Benjamin Coleman +11
Large language models have become drivers of evolutionary search, but most systems rely on a fixed, prompt-elicited policy to sample next candidates. This limits adaptation in prac…
PACEvolve: Enabling Progress-Aware Consistent Evolution
Minghao Yan, Bo Peng, Benjamin Coleman +13
Self-evolving agents powered by Large Language Models (LLMs) have emerged as a promising direction across diverse domains, including code optimization and scientific discovery, yet…
What Can Student-AI Dialogues Tell Us About Students' Self-Regulated Learning? An exploratory framework
Long Zhang, Fangwei Lin, Weilin Wang
The rise of Human-AI Collaborative Learning (HAICL) is shifting education toward dialogue-centric paradigms, creating an urgent need for new assessment methods. Evaluating Self-Reg…
Simulation as Reality? The Effectiveness of LLM-Generated Data in Open-ended Question Assessment
Long Zhang, Meng Zhang, Wei Lin Wang +1
The advancement of Artificial Intelligence (AI) has created opportunities for e-learning, particularly in automated assessment systems that reduce educators' workload and provide t…
TrustDataFilter:Leveraging Trusted Knowledge Base Data for More Effective Filtering of Unknown Information
Jinghong Zhang, Yidong Cui, Weiling Wang +1
With the advancement of technology and changes in the market, the demand for the construction of domain-specific knowledge bases has been increasing, either to improve model perfor…