1 citations · 1 across the 3 of their papers we have counts for
3 papers
Assessing socio-economic climate impacts from text data
Mariana Madruga de Brito, Brielen Madureira, Taís Maria Nunes Carvalho +15
Recent advances in natural language processing (NLP) and large language models (LLMs) have enabled the systematic use of large-scale textual data from news, social media, and repor…
Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change
Murathan Kurfalı, Shorouq Zahra, Joakim Nivre +1
Climate-Eval is a comprehensive benchmark designed to evaluate natural language processing models across a broad range of tasks related to climate change. Climate-Eval aggregates e…
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
Evangelia Gogoulou, Shorouq Zahra, Liane Guillou +2
A frequently observed problem with LLMs is their tendency to generate output that is nonsensical, illogical, or factually incorrect, often referred to broadly as hallucination. Bui…