A survey of controllable text generation using transformer-based pre-trained language models
Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …
generation (NLG). It is regarded as crucial for the development of advanced text generation …
[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …
natural language understanding and generation. They possess deep language …
" I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
As language models grow in popularity, it becomes increasingly important to clearly
measure all possible markers of demographic identity in order to avoid perpetuating existing …
measure all possible markers of demographic identity in order to avoid perpetuating existing …
Safetybench: Evaluating the safety of large language models with multiple choice questions
With the rapid development of Large Language Models (LLMs), increasing attention has
been paid to their safety concerns. Consequently, evaluating the safety of LLMs has become …
been paid to their safety concerns. Consequently, evaluating the safety of LLMs has become …
Fairness in large language models: A taxonomic survey
Large Language Models (LLMs) have demonstrated remarkable success across various
domains. However, despite their promising performance in numerous real-world …
domains. However, despite their promising performance in numerous real-world …
Sustainable modular debiasing of language models
Unfair stereotypical biases (eg, gender, racial, or religious biases) encoded in modern
pretrained language models (PLMs) have negative ethical implications for widespread …
pretrained language models (PLMs) have negative ethical implications for widespread …
Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models
Z Lin, S Guan, W Zhang, H Zhang, Y Li… - Artificial Intelligence …, 2024 - Springer
Recently, large language models (LLMs) have attracted considerable attention due to their
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …
“I'm fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation
Warning: This paper contains examples of gender non-affirmative language which could be
offensive, upsetting, and/or triggering. Transgender and non-binary (TGNB) individuals …
offensive, upsetting, and/or triggering. Transgender and non-binary (TGNB) individuals …