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Found 4 papers, 1 papers with code
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations
Syntactic parsers have dominated natural language understanding for decades.
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
Our results indicate a significant performance drop in GPT-3. 5 on the unfamiliar Termite dataset, even with ATD modifications, highlighting the effect of Data Contamination on LLMs in Text-to-SQL translation tasks.
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
In this paper, we performed a large investigation of the bias of three families of CtB-LLMs, and we showed that debiasing techniques are effective and usable.
The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers are challenging human performances in many NLP tasks.
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