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Found 4 papers, 2 papers with code
A Category Theory Framework for Sense Systems
We also offer two guiding criteria, which we consider aspirational rather than requirements that have to be strictly fulfilled for all purposes: 1) Non-contradiction: Mappings cannot exist between senses that semantically contradict each other.
Towards an open-domain chatbot for language practice
State-of-the-art chatbots for English are now able to hold conversations on virtually any topic (e. g. Adiwardana et al., 2020; Roller et al., 2021).
LLMs cannot find reasoning errors, but can correct them!
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).
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction
This paper describes our submission to the SemEval-2021 shared task on Lexical Complexity Prediction.
