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Found 5 papers, 1 papers with code
Language Models: A Guide for the Perplexed
Given the growing importance of AI literacy, we decided to write this tutorial to help narrow the gap between the discourse among those who study language models -- the core technology underlying ChatGPT and similar products -- and those who are intrigued and want to learn more about them.
Stubborn Lexical Bias in Data and Models
Using a new statistical method, we examine whether such spurious patterns in data appear in models trained on the data.
All That's `Human' Is Not Gold: Evaluating Human Evaluation of Generated Text
Human evaluations are typically considered the gold standard in natural language generation, but as models{'} fluency improves, how well can evaluators detect and judge machine-generated text?
All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text
Human evaluations are typically considered the gold standard in natural language generation, but as models' fluency improves, how well can evaluators detect and judge machine-generated text?
Is Attention Interpretable?
Attention mechanisms have recently boosted performance on a range of NLP tasks.
