3 citations · 3 across the 3 of their papers we have counts for
4 papers
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32
Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo +73
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge pres…
Leveraging Linguistically Enhanced Embeddings for Open Information Extraction
Fauzan Farooqui, Thanmay Jayakumar, Pulkit Mathur +1
Open Information Extraction (OIE) is a structured prediction (SP) task in Natural Language Processing (NLP) that aims to extract structured -ary tuples - usually subject-relatio…
Large Language Models are legal but they are not: Making the case for a powerful LegalLLM
Thanmay Jayakumar, Fauzan Farooqui, Luqman Farooqui
Realizing the recent advances in Natural Language Processing (NLP) to the legal sector poses challenging problems such as extremely long sequence lengths, specialized vocabulary th…