4 papers
Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
Yuheng Yang, Siqi Zhu, Tao Feng +2
Large Language Models (LLMs) can be seen as compressed knowledge bases, but it remains unclear what knowledge they truly contain and how far their knowledge boundary extends. Exist…
Auto-Slides: An Interactive Multi-Agent System for Creating and Customizing Research Presentations
Yuheng Yang, Wenjia Jiang, Yang Wang +3
The rapid progress of large language models (LLMs) has opened new opportunities for education. While learners can interact with academic papers through LLM-powered dialogue, limita…
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
Xiaojie Gu, Guangxu Chen, Yuheng Yang +2
Large language models (LLMs) exhibit exceptional performance across various domains, yet they face critical safety concerns. Model editing has emerged as an effective approach to m…
Evolution without an Oracle: Driving Effective Evolution with LLM Judges
Zhe Zhao, Yuheng Yang, Haibin Wen +3
The integration of Large Language Models (LLMs) with Evolutionary Computation (EC) has unlocked new frontiers in scientific discovery but remains shackled by a fundamental constrai…