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20232026
most citedGeopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models

2 citations · 6 across the 10 of their papers we have counts for

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cs.CL2023

Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs

Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski +3

Pre-trained Text-to-Text Language Models (LMs), such as T5 or BART yield promising results in the Knowledge Graph Question Answering (KGQA) task. However, the capacity of the model…

cs.CL2023★ 2 cited

Large Language Models Meet Knowledge Graphs to Answer Factoid Questions

Mikhail Salnikov, Hai Le, Prateek Rajput +4

Recently, it has been shown that the incorporation of structured knowledge into Large Language Models significantly improves the results for a variety of NLP tasks. In this paper,…