Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Knowing How to Edit: Reliable Evaluation Signals for Diagnosing and Optimizing Prompts at Query Level
Ke Chen, Yifeng Wang, Hassan Almosapeeh +1
Prompt optimization has become a central mechanism for eliciting strong performance from LLMs, and recent work has made substantial progress by proposing diverse prompt evaluation…
cs.AI2024
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas
Xiang Hu, Hongyu Fu, Jinge Wang +7
Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produc…