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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 …
Fairness in deep learning: A survey on vision and language research
Despite being responsible for state-of-the-art results in several computer vision and natural
language processing tasks, neural networks have faced harsh criticism due to some of their …
language processing tasks, neural networks have faced harsh criticism due to some of their …
Deep bidirectional language-knowledge graph pretraining
Pretraining a language model (LM) on text has been shown to help various downstream
NLP tasks. Recent works show that a knowledge graph (KG) can complement text data …
NLP tasks. Recent works show that a knowledge graph (KG) can complement text data …
" kelly is a warm person, joseph is a role model": Gender biases in llm-generated reference letters
Y Wan, G Pu, J Sun, A Garimella, KW Chang… - ar**
downstream tasks. However, existing methods such as BERT model a single document, and …
downstream tasks. However, existing methods such as BERT model a single document, and …
Towards understanding and mitigating social biases in language models
As machine learning methods are deployed in real-world settings such as healthcare, legal
systems, and social science, it is crucial to recognize how they shape social biases and …
systems, and social science, it is crucial to recognize how they shape social biases and …
Gender and representation bias in GPT-3 generated stories
Using topic modeling and lexicon-based word similarity, we find that stories generated by
GPT-3 exhibit many known gender stereotypes. Generated stories depict different topics and …
GPT-3 exhibit many known gender stereotypes. Generated stories depict different topics and …
Refiner: Reasoning feedback on intermediate representations
Language models (LMs) have recently shown remarkable performance on reasoning tasks
by explicitly generating intermediate inferences, eg, chain-of-thought prompting. However …
by explicitly generating intermediate inferences, eg, chain-of-thought prompting. However …
Greaselm: Graph reasoning enhanced language models for question answering
Answering complex questions about textual narratives requires reasoning over both stated
context and the world knowledge that underlies it. However, pretrained language models …
context and the world knowledge that underlies it. However, pretrained language models …
DExperts: Decoding-time controlled text generation with experts and anti-experts
Despite recent advances in natural language generation, it remains challenging to control
attributes of generated text. We propose DExperts: Decoding-time Experts, a decoding-time …
attributes of generated text. We propose DExperts: Decoding-time Experts, a decoding-time …