Papers by Tornike Tsereteli

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Challenge:	The main repository of natural language processing (NLP) has grown its number of stored papers by 70% from 2019 to 2023.
Approach:	They propose an extension to GenGO Ultra which exploits large language models to dynamically generate responses grounded by published papers.
Outcome:	The proposed system exploits large language models to generate responses grounded by published papers and performs multi-granularity experiments.