14 citations · 33 across the 6 of their papers we have counts for
6 papers
Learn by Selling: Equipping Large Language Models with Product Knowledge for Context-Driven Recommendations
Sarthak Anand, Yutong Jiang, Giorgi Kokaia
The rapid evolution of large language models (LLMs) has opened up new possibilities for applications such as context-driven product recommendations. However, the effectiveness of t…
Writing your own book: A method for going from closed to open book QA to improve robustness and performance of smaller LLMs
Giorgi Kokaia, Pratyush Sinha, Yutong Jiang +1
We introduce two novel methods, Tree-Search and Self-contextualizing QA, designed to enhance the performance of large language models (LLMs) in question-answering tasks. Tree-Searc…
Effects of capturing a wide-orbit planet on planetary systems: system stability and Habitable Zone bombardment rates
Giorgi Kokaia, Melvyn B. Davies, Alexander J. Mustill
A large fraction of stars are formed in dense clusters. In the cluster, close encounters between stars at distances less than 100 au are common. It has been shown that during close…
Oumuamuas passing through molecular clouds
Susanne Pfalzner, Melvyn B. Davies, Giorgi Kokaia +1
The detections of 1I/Oumuamua and 2I/Borisov within just two years demonstrate impressively that interstellar objects (ISOs) must be common in the Milky Way. Once released from the…
Resilient habitability of nearby exoplanet systems
Giorgi Kokaia, Melvyn B. Davies, Alexander J. Mustill
We investigate the possibility of finding Earth-like planets in the habitable zone of 34 nearby FGK-dwarfs, each known to host one giant planet exterior to their habitable zone det…
Stellar encounters with giant molecular clouds
Giorgi Kokaia, Melvyn B. Davies
Giant molecular clouds (GMCs) are believed to affect the biospheres of planets as their host star passes through them. We simulate the trajectories of stars and GMCs in the Galaxy…