4 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 Long-Horizon Progress-Aware Consistent Evolution
Minghao Yan, Bo Peng, Benjamin Coleman +13
Large Language Models (LLMs) have emerged as powerful operators for evolutionary search, yet the design of efficient search scaffolds remains ad hoc. While promising, current LLM-i…
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…
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…