no code implementations • 13 Nov 2023 • Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, Ishaan Watts, Ashutosh Sathe, Millicent Ochieng, Rishav Hada, Prachi Jain, Maxamed Axmed, Kalika Bali, Sunayana Sitaram
There has been an introduction of several new LLMs, necessitating their evaluation on non-English languages.
1 code implementation • 22 Mar 2023 • Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Maxamed Axmed, Kalika Bali, Sunayana Sitaram
Most studies on generative LLMs have been restricted to English and it is unclear how capable these models are at understanding and generating text in other languages.
Almost all of existing KGC research is applicable to only one KG at a time, and in one language only.
Ranked #2 on Knowledge Graph Completion on DBP-5L (Greek)
Temporal knowledge bases associate relational (s, r, o) triples with a set of times (or a single time instant) when the relation is valid.
Ranked #1 on Link Prediction on Wikidata12k
Most existing methods train with a small number of negative samples for each positive instance in these datasets to save computational costs.
State-of-the-art knowledge base completion (KBC) models predict a score for every known or unknown fact via a latent factorization over entity and relation embeddings.
If not, what characteristics of a dataset determine the performance of MF and TF models?