63 citations · 121 across the 15 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2025★ 1 cited
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs
Mohammad Reza Rezaei, Adji Bousso Dieng
Retrieval-augmented generation (RAG) enhances large language models (LLMs) for domain-specific question-answering (QA) tasks by leveraging external knowledge sources. However, trad…
cs.CL2023★ 29 cited
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions
Andre Niyongabo Rubungo, Craig Arnold, Barry P. Rand +1
The prediction of crystal properties plays a crucial role in the crystal design process. Current methods for predicting crystal properties focus on modeling crystal structures usin…