2 papers
cs.HC2026
Large Language Models Can Explain Experts Better Than Experts Themselves
Mina Cho, Russell J. Funk, Alok Gupta +1
Capturing tacit knowledge, or the "know-how" embedded in individual experiences and contexts, is a central challenge that limits the preservation and transfer of valuable expertise…
cs.CL2024
Regurgitative Training: The Value of Real Data in Training Large Language Models
Jinghui Zhang, Dandan Qiao, Mochen Yang +1
What happens if we train a new Large Language Model (LLM) using data that are at least partially generated by other LLMs? The explosive success of LLMs means that a substantial amo…