2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2024★ 2 cited
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
Xinyi Chen, Baohao Liao, Jirui Qi +4
Following multiple instructions is a crucial ability for large language models (LLMs). Evaluating this ability comes with significant challenges: (i) limited coherence between mult…
cs.CL2018
Examining the Tip of the Iceberg: A Data Set for Idiom Translation
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Neural Machine Translation (NMT) has been widely used in recent years with significant improvements for many language pairs. Although state-of-the-art NMT systems are generating pr…
cs.CL2017
Learning Topic-Sensitive Word Representations
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Distributed word representations are widely used for modeling words in NLP tasks. Most of the existing models generate one representation per word and do not consider different mea…