Timothy Baldwin

A new dataset addresses human judgment variability in semantic textual similarity.

A new dataset helps evaluate the safety of language models.

Analyzing how media bias shapes public perception and understanding.

This study examines language models' grasp of cultural proverbs across languages.

New model improves recommendations for travelers by combining text and location data.

Using multilingual lexicons to improve sentiment analysis in low-resource languages.

Exploring how word order influences language processing and communication.

Introducing a method to assess reliability in language model outputs.

This article discusses the importance of measuring uncertainty in AI predictions.

New dataset improves how models convert web pages into HTML code.

Selective debiasing aims to improve fairness in machine learning predictions.

This study focuses on identifying key text parts in legal problem descriptions.

A method to improve how confident language models are in their text generation.

A bilingual model transforming medical communication for patients and professionals.

A new framework prioritizes safety alongside performance in AI evaluation.