Search Results for author: Tony Mak

Found 2 papers, 2 papers with code

LLMs cannot find reasoning errors, but can correct them!

1 code implementation14 Nov 2023 Gladys Tyen, Hassan Mansoor, Victor Cărbune, Peter Chen, Tony Mak

While self-correction has shown promise in improving LLM outputs in terms of style and quality (e. g. Chen et al., 2023; Madaan et al., 2023), recent attempts to self-correct logical or reasoning errors often cause correct answers to become incorrect, resulting in worse performances overall (Huang et al., 2023).

Predicting Text Readability from Scrolling Interactions

1 code implementation CoNLL (EMNLP) 2021 Sian Gooding, Yevgeni Berzak, Tony Mak, Matt Sharifi

Judging the readability of text has many important applications, for instance when performing text simplification or when sourcing reading material for language learners.

Question Answering Reading Comprehension +1

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