RoBerta

10 Posts

Language Models Defy Logic: Large NLP models struggle with logical reasoning.
RoBerta

Language Models Defy Logic: Large NLP models struggle with logical reasoning.

Who would disagree that, if all people are mortal and Socrates is a person, Socrates must be mortal? GPT-3, for one. Recent work shows that bigger language models are not necessarily better when it comes to logical reasoning.

February 1, 20232 min read
Language Models Defy Logic: Large NLP models struggle with logical reasoning.
RoBerta

Language Models Defy Logic: Large NLP models struggle with logical reasoning.

Who would disagree that, if all people are mortal and Socrates is a person, Socrates must be mortal? GPT-3, for one. Recent work shows that bigger language models are not necessarily better when it comes to logical reasoning.

February 1, 20232 min read
More Efficient Transformers: BigBird is an efficient attention mechanism for transformers.
RoBerta

More Efficient Transformers: BigBird is an efficient attention mechanism for transformers.

As transformer networks move to the fore in applications from language to vision, the time it takes them to crunch longer sequences becomes a more pressing issue. A new method lightens the computational load using sparse attention.

September 23, 20202 min read
More Efficient Transformers: BigBird is an efficient attention mechanism for transformers.
RoBerta

More Efficient Transformers: BigBird is an efficient attention mechanism for transformers.

As transformer networks move to the fore in applications from language to vision, the time it takes them to crunch longer sequences becomes a more pressing issue. A new method lightens the computational load using sparse attention.

September 23, 20202 min read
Yann LeCun — Learning From Observation: The power of self-supervised learning
RoBerta

Yann LeCun — Learning From Observation: The power of self-supervised learning

How is it that many people learn to drive a car fairly safely in 20 hours of practice, while current imitation learning algorithms take hundreds of thousands of hours, and reinforcement learning algorithms take millions of hours? Clearly we’re missing something big.

January 1, 20202 min read
Yann LeCun — Learning From Observation: The power of self-supervised learning
RoBerta

Yann LeCun — Learning From Observation: The power of self-supervised learning

How is it that many people learn to drive a car fairly safely in 20 hours of practice, while current imitation learning algorithms take hundreds of thousands of hours, and reinforcement learning algorithms take millions of hours? Clearly we’re missing something big.

January 1, 20202 min read
Inside AI’s Muppet Empire: Why Are So Many NLP Models Named After Muppets?
RoBerta

Inside AI’s Muppet Empire: Why Are So Many NLP Models Named After Muppets?

As language models show increasing power, a parallel trend has received less notice: The vogue for naming models after characters in the children’s TV show Sesame Street.

December 18, 20191 min read
Inside AI’s Muppet Empire: Why Are So Many NLP Models Named After Muppets?
RoBerta

Inside AI’s Muppet Empire: Why Are So Many NLP Models Named After Muppets?

As language models show increasing power, a parallel trend has received less notice: The vogue for naming models after characters in the children’s TV show Sesame Street.

December 18, 20191 min read
BERT Is Back
RoBerta

BERT Is Back

Less than a month after XLNet overtook BERT, the pole position in natural language understanding changed hands again. RoBERTa is an improved BERT pretraining recipe that beats its forbear, becoming the new state-of-the-art language model — for the moment.

August 21, 20192 min read
BERT Is Back
RoBerta

BERT Is Back

Less than a month after XLNet overtook BERT, the pole position in natural language understanding changed hands again. RoBERTa is an improved BERT pretraining recipe that beats its forbear, becoming the new state-of-the-art language model — for the moment.

August 21, 20192 min read

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