3 papers
cs.AI2026
SAILOR: Solver-Assisted Interactive LLM-based Optimization Recovery
Shaghayegh Sadeghi, Stephen L. Smith, David C. Del Rey Fern'andez
Natural-language descriptions of optimization problems may be incomplete or vague about numerical information that a solver requires, including costs, capacities, demands, bounds,…
cs.CL2024
Whitening Not Recommended for Classification Tasks in LLMs
Ali Forooghi, Shaghayegh Sadeghi, Jianguo Lu
Sentence embedding is a cornerstone in NLP. Whitening has been claimed to be an effective operation to improve embedding quality obtained from Large Language Models (LLMs). However…
q-bio.BM2024
Can Large Language Models Understand Molecules?
Shaghayegh Sadeghi, Alan Bui, Ali Forooghi +2
Purpose: Large Language Models (LLMs) like GPT (Generative Pre-trained Transformer) from OpenAI and LLaMA (Large Language Model Meta AI) from Meta AI are increasingly recognized fo…